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1、Technology Vision 2024Human by designHow AI unleashes the next level of human potentialTechnology Vision 2024|Human by design Introduction#TechVision2024Technology Vision 2024|Human by design 2Welcome to our Technology Vision for 2024.This years Vision is grounded in two realities.First,technology i
2、s driving a wave of reinvention that is impacting every part of every business.Second,this emerging technology is becoming more human in its nature,creating unprecedented capabilities that in essence give people superpowers.Collectively these two realities stand to reshape the way we work and live.C
3、onsider the possibilities.Where once we adapted to technology such as changing our habits for a new app or computer interface technology is beginning to adapt to us.Gen AI applications create realistic scripts and images as if created by people.New spatial computing mediums have begun to close the p
4、hysical-digital divide to enable simultaneous activities in multiple spaces.Body-sensing technology like brain-computer interfaces and ambient computing are beginning to read and understand us like never before.This years Technology Vision comes at a time of expansive innovation in technology that i
5、s creating massive opportunities for leaders from new ways to drive productivity to entirely new ways of doing business and tackling grand challenges.We identify actions to take today and also chart the steps to a future where technology transitions from a passive proxy to an active collaborator tha
6、t engages with us through more natural interaction.This move to more human-like technology raises questions about the impact on people.In this years Vision,we explore this issue from all dimensions,centering on the importance of shaping technology that is human by design.Technology amplifies human c
7、reativity and productivity so we can create a positive impact for the most important part of any enterprise.People.Step boldly into this future with us,and together we can shape our use of technology.We believe its Human by design.Julie Sweet Chair and CEOPaul Daugherty Chief Technology and Innovati
8、on Officer ForewordHow AI unleashes the next level of human potentialHuman by designTechnology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 3A match made in AI Reshaping our relationship with knowledge People are asking generative AI chatbots for information trans
9、forming the business of search today,and the futures of software and data-driven enterprises tomorrow.Meet my agent Ecosystems for AI AI is taking action,and soon whole ecosystems of AI agents could command major aspects of business.Appropriate human guidance and oversight is critical.The space we n
10、eed Creating value in new realities The spatial computing technology landscape is rapidly growing,but to successfully capitalize on this new medium,enterprises will need to find its killer apps.Our bodies electronic A new human interface A suite of technologies from eye-tracking to machine learning
11、to BCI are starting to understand people more deeply,and in more human-centric ways.ContentsIntroduction:Human by design How AI unleashes the next level of human potentialIn the coming years businesses will have an increasingly powerful array of technologies at their disposal and across the board,th
12、e technology is becoming more human.Page 4-12Page 13-27Page 28-43Page 44-59Page 60-77Technology Vision 2024|Human by design Introduction#TechVision2024Technology Vision 2024|Human by design 4Human by designThe relationship between humans and technology is at an inflection point.Have you ever seen dy
13、stopian pictures of humans in 1,000 years?Hunched backs,sallow skin,big and sensitive eyes the hallmarks of people who spend too much time indoors,detached from the physical world.These images reflect how the artists see our relationship with technology today.Theyre visceral and striking,and based o
14、n true fears.People worry about screentime and the cognitive impact of technology,and increasingly we hear concerns about technology controlling our lives or about losing control of technology despite using it more than ever.But the future doesnt need to be what these artists imagine.Not if we recas
15、t the relationship between people and technology and design technology to amplify,rather than change,the things that make us human.How AI unleashes the next level of human potentialIts time to make technology human by design.Technology Vision 2024|Human by design Introduction#TechVision2024Technolog
16、y Vision 2024|Human by design 5This is a moment for reinvention.In the coming years,businesses will have an increasingly powerful array of technologies at their disposal that will open new pathways to unleash greater human potential,productivity,and creativity.Autonomous agents that can act on our b
17、ehalf;intelligent interfaces that transform the way we interact with information and software;spatial technologies that blend the digital world into our physical one,or instantly transport us from our desk to a factory to a mountain top;and even technologies like brain-computer interfaces that once
18、sounded like science fiction are starting to find relevant,approachable,enterprise use cases.Early adopters and leading businesses have kick-started a race toward a new era of value and capability.And their strategies are underpinned by one common thread the technology is becoming more human.It soun
19、ds counterintuitive.After all,hasnt technology always been human?Humans invent technology,we build it,we scale it.We use it to overcome limitations and do more.In fact,creating tools that extend our physical and cognitive abilities is so unique to humanity that some argue it defines us as a species.
20、1Yet,by nature,the tools we build are often distinctly unhuman.They dont look or act“human,”which has always been the point of creating them.As humans we had aspirations,but limitations:we wanted to plant a field,but couldnt till the ground;we wanted to reach the stars,but we were earthbound;we want
21、ed to solve problems,but couldnt always crunch the numbers.Tools filled the gaps by doing and being what we couldnt,and in the process radically transformed our lives.Automobiles expanded our freedom of mobility.Cranes let us build skyscrapers and bridges.Machines helped us create,distribute,and lis
22、ten to music.Hasnt technology always been human?Technology Vision 2024|Human by design Introduction#TechVision2024Technology Vision 2024|Human by design 6Technologys unhuman nature can also be its drawback,though.Extended use of hand tools can lead to arthritis.Years of looking at screens can accele
23、rate vision problems.We have amazing navigational tools,but they still distract us from driving.The discordance can even go beyond our physical bodies and permeate the environments we live in:homes or offices are often designed to get the best bandwidth,combustion engines may be a need for some but
24、generate pollution for others.Granted,there have been efforts to create tools that are more ergonomic or easier to use.But even so,time and again we see and make decisions about our lives based on what is best for a machine rather than optimizing human potential.This is why artists imagining the fut
25、ure of human evolution envision a world where we are at conflict with the technology we use.Technology amplifies our abilities and lets us do more,but its unnaturalness is just as likely to leave its mark.Now,for the first time in history we see strong evidence that we are reversing course not by mo
26、ving away from technology,but rather by embracing a generation of technology that is more human.Technology that is more intuitive,both in design and its very nature,demonstrates more human-like intelligence,and is easy to integrate across every aspect of our lives.Our world is becoming a fusion of a
27、toms and bits,and if we want to help people better live in it,we need to design technology in ways that amplify these human-like traits.Its not an entirely new trend:the invention of the graphical user interface(GUI)created images that were friendly and more intuitive than lines of code;the smartpho
28、ne miniaturized compute to reflect the mobility intrinsic to humans lives;one of AIs most impactful uses was translating across languages.But now this slow trickle is about to become a torrential river of deliberate design.Consider the impact generative AI and transformer models are having on the wo
29、rld around us.What began as chatbots like ChatGPT and Bard has become a driving force in making technology more intuitive,intelligent,and accessible to all.One example is Adobe Photoshops Generative Fill and Generative Expand features,powered by Adobe Firefly.2 These innovations let anyone add,expan
30、d,or remove content from images non-destructively,using simple text prompts.Users can now experiment with their ideas,ideate around different concepts,and produce dozens of variations faster than ever before.Where AI once focused on automation and routine tasks,its now shifting to augmentation,chang
31、ing how people approach work,and is rapidly democratizing the technologies and specialized knowledge work that were once reserved for the highly trained or deep-pocketed.For more on the evolution of AI,see A new era of generative AI for everyone from Accenture Research.95%of executives agree that ma
32、king technology more human will massively expand the opportunities of every industry.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 05001,0001,5002,0002,5002022Q11,6251,5081,3331,3211,3721,9332022Q22022Q32022Q4Number of companies Total mentionsChatGPT rel
33、eased in November 20222023Q12023Q22023Q3Number of mentionsNumber ofcompanies2,24740,00035,00030,00025,00020,00015,00010,0005,0000Introduction7And generative AI has the potential to impact much more than just the task at hand.Its also starting to profoundly reshape organizations and markets.Google Cl
34、oud,for instance,recently announced a generative AI search tool meant to help doctors and nurses rapidly find patient information that may be stored across multiple systems and in different formats a major challenge that has plagued healthcare systems for years.3 FrameDiff,a generative AI computatio
35、nal tool created by MIT CSAIL researchers,is crafting synthetic protein structures that go beyond what exists in nature to open new possibilities in drug development.4 And for software companies,tools like GitHubs Copilot(a generative AI assistant that helps write code)are demonstrating potential to
36、 make software engineers more satisfied with their jobs.5 In fact,in many cases generative AI tools are so intuitive to use and employees are adopting them so rapidly,they are permeating workplaces from the bottom up faster than organizations can create formal programs.To learn more about how our in
37、teraction experience is changing,go to Accenture Life Trends 2024.Generative AI has the potential to impact much more than just the task at hand.Can AI have your attention?The number of mentions of AI in earnings call transcripts has increased by 6x since the release of ChatGPT in November 2022.Sour
38、ce:Accenture Research NLP analysis on earnings call transcripts(S&P Global Transcripts)across 10,452 companies and over 70K transcripts;Jan 2022 Sep 2023Number of companies mentioning AI,along with total number of mentions in earnings call transcripts,2022Q1 2023Q3#TechVision2024Technology Vision 20
39、24|Human by design Introduction#TechVision2024Technology Vision 2024|Human by design 8Of course,the advent of more human technology is happening across many more dimensions than AI alone.And in the process,its starting to solve many of the pain points that exist between us and technology,paving the
40、way for greater human potential.To solve challenges innate to digital work,like video fatigue,Microsoft made major updates to Microsoft Mesh,their platform for creating immersive spaces that blend digital and physical.6 The company is trying to use immersion to solve pain points today,as well as dri
41、ve new collaborative ways of working.Recognizing the importance social media plays in many peoples lives,but also the friction it can create,social media newcomers Discord and Mastodon built social networks not driven by a centralized recommendation algorithm,but one more reflective of the types of
42、communities and relationships we build in our personal lives.And Boston Dynamics has long been at the forefront of making robotics more human,promising a smoother integration between robotics and the world around us.For instance,their bipedal robot Atlas has been trained on diverse tasks,allowing it
43、 to mimic human movement and physical intuition.7 Whats more is these robots no longer just mirror humans physically,but socially too.Humans will usually interact with robots through complex lines of code and puzzling machine logic,leaving an impasse between people who dont speak that language and t
44、he robots next to them.However,researchers found a way to put ChatGPT onboard a Boston Dynamics robot,allowing people to use natural language to command the robot or ask it about its previous tasks and receive a clear response in plain English.8This is why its so important for businesses to build an
45、d use technology thats human by design.When technology is more human its more accessible and makes people more productive and connected.And how often do we want to do more?Manufacture more custom products.Expand to more markets.Work with more partners.We are about to see a massive expansion of every
46、 industry.Think of it like this:in the 1700s,the industrial revolution made creating physical things easier,and in turn refaced the way our world works and how we live in it.Now,as technology becomes more human,it becomes easier to work with and will spark an infusion of technology through every dim
47、ension of the business.We are already seeing its impact on our ability to create.Recent innovations have led to an explosion of digital art,music,and product designs.And technology that is human by design is also introducing brand-new possibilities digital helpers like AI agents,or digital spaces wh
48、ere we can build and create even in ways that break the laws of physics.By building fundamentally intuitive bridges between people and the most advanced technologies of our age,productivity and value creation are poised to grow exponentially across every industry.Its an entire universe of new ideas
49、and new actions for businesses and consumers alike.When technology is more human,its more accessible.Technology Vision 2024|Human by design Introduction#TechVision2024Technology Vision 2024|Human by design 9Technology that is human by design will also reach new people and knowledge that has never be
50、en digitized before.While this will create more of what we have,it will also enable the creation of things and ideas to which enterprises have never had access.Think of all the people historically alienated by technology who will be able to contribute to the digital revolution.As technology becomes
51、more intuitive,we can tap into these people as new customers and new employees.In doing so,their wealth of knowledge will become enterprise-actionable for the first time.And when every person can be part of the digital transformation,on-going efforts to modernize things like data,products,workforce,
52、and more will only accelerate.Companies leading the shift to more human technologies will be injected with innovation opportunities as they both buoy and are buoyed by a flood of new people with the tools to affect change in the digital world.Yet the world we will shape from this expansion of econom
53、ic growth and empowerment of entire populations is still undecided and enterprises have a responsibility to shape it into a world we want to live in.Leaders will be faced with familiar questions:Which products and services are ripe for scaling?What new data is at your disposal?What transformative ac
54、tions can you take?But they will also be at the center of answering questions they may have never expected:What kind of oversight does AI need?Who will be included in the digital transformation?What responsibilities do we have to the people in our ecosystem?Human by design is not just a description
55、of features,its a mandate for what comes next.As enterprises look to reinvent their digital core,human technology will become central to the success of their efforts.Every business is beginning to see the potential emerging technologies have to reinvent the pillars of their digital efforts.Digital e
56、xperiences,data and analytics,products,all stand to change as technologies like generative AI,spatial computing,and others mature and scale.In this moment of reinvention,enterprises have the chance to build a strategy that maximizes human potential,and erases the friction between people and technolo
57、gy.The future will be powered by artificial intelligence but must be designed for human intelligence.And as a new generation of technology gives enterprises the power to do more,every choice they make matters that much more too.The world is watching.Will you be a role model or a cautionary tale?Tech
58、nology Vision 2024|Human by design Introduction#TechVision2024Technology Vision 2024|Human by design 10 Think about the things that make us human:the way we think,act,feel,and understand one another.Now technology is starting to reflect that range of human experience.Its a transformation that will r
59、eset our relationship with technology and completely change how we use it and what we do with it.Last years Technology Vision explored how the convergence of atoms and bits is building the foundations of our new reality.We described a world where the dissolving barrier between our digital and physic
60、al realities was opening up brand new innovations in nearly all dimensions of technology,from artificial intelligence,to identity and science tech and importantly how each of these pieces would become a critical part of the enterprise core moving forward.In this years Technology Vision we investigat
61、e where the impact of that foundation matters most:people.The advent of more human technology is both a highly concentrated example and the direct result of the broader trend towards a world where atoms meet bits.The four trends this year outline to enterprise leaders the key dimensions where techno
62、logy is becoming human by design,and how organizations will need to prepare.First:I think,therefore I am.The way we collect,store,and access information has always been a deeply rooted part of the human experience.In A match made in AI we explore how technology is starting to imitate how we process
63、information.These are not just superficial changes to the way we interact with technology,but rooted in memory structures designed and organized in a similar fashion to peoples brains.The earliest changes are starting in search and will come to disrupt the way we approach knowledge and knowledge man
64、agement.Autonomy and the ability to act is even more innate to the human experience before people could write or build,we were hunting and gathering,making decisions,and engaging the world around us.Now,in Meet my agent we are tracking the evolution from AI that can perform singular tasks to AI agen
65、ts that,with appropriate oversight,can work with one another and act as proxies for people and enterprises alike.Today we might think of it as automated assistants for individual interactions,but tomorrow the agent ecosystem has the potential to underpin the entire business-to-business landscape.In
66、The space we need,were watching the emergence of a new spatial computing medium,and the applications taking advantage of its capabilities to pierce the physical-digital divide.The metaverse struggled under the weight of ever-expanding definitions and expectations,but the value in the technology behi
67、nd it has never been in doubt.In the end we are physical beings,and the digital world has always been a strange environment.Now spatial computing is letting the digital world reflect what it means to be human and in a physical space.And lastly,its always been a challenge to understand people.While t
68、echnology can track and observe what people do,it often lacks the specificity of what was intended.Our bodies electronic looks at an emerging suite of technology that is starting to sidestep the unnatural technology interactions of the past to read and understand people more closely than has ever be
69、en possible.To think,act,feel,and understand these are human qualities.But by surrounding ourselves with tools that mirror us,we make it easier to connect to the world on a deeper level,and we empower people to take a larger role in shaping it.Individuals,companies,and governments all empowered to d
70、o more.Make it human:The 2024 trendsTechnology Vision 2024|Human by design Introduction#TechVision2024Technology Vision 2024|Human by design 11Positive engineering:Our technology crossroads Human by design technologies can deliver profound benefits to people and enterprises alike,but the path forwar
71、d isnt so simple.The world is arriving at what might be technologys biggest inflection point in history,and enterprises and the decisions their leaders make are at the heart of shaping how we move forward.As we experience more growth and innovation,it wont all be for the better.There will be more(an
72、d new)opportunities for fraud,misinformation,and breaches of security.If we engineer tools with human capabilities but without human intelligence or even human conscience we can create in a way that deteriorates both the bottom line and the greater good.More human technology means more ethical quest
73、ions,and many of these questions require answers before we can proceed.We made agents that could talk and act indistinguishably from humans,expanding human capabilities in impressive ways.But as quickly as ChatGPT was released,we also started seeing fear-laden headlines.Will machines devolve human c
74、reativity?Will they take our jobs?Will they try to destroy us?This isnt merely luddite speculation,many leading AI researchers have(controversially)raised concerns and halted research over the potential dangers of AI.9,10 When the metaverse was introduced,it challenged us to question the impact it w
75、ould have on people.Would the allure of the metaverse cause us to cocoon in our homes,potentially impacting our mental health?11 Now brain scanning can be used to decode what people are thinking.12 Will that potential be used for or against us?More human technology means more ethical questions,and m
76、any of these questions require answers before we can proceed.None of these questions have a clear resolution,but enterprises will be on the front lines of answering them.While some may seem implausible,borderline unfathomable,they are quietly creeping out of science fiction books and into boardroom
77、conversations.In the era of human tech,every product and every service that enterprises bring to market holds the potential to transform lives,empower communities,and ignite change for better or for worse.And,invariably,enterprises will face the delicate balancing act of needing to act fast versus n
78、eeding to act carefully,as well as the expectation that competitors or other countries may not share the same concerns or impose the same guardrails.Technology Vision 2024|Human by design Introduction#TechVision2024Technology Vision 2024|Human by design 12The choices enterprise leaders make,the valu
79、es they uphold,and the priorities they set will reverberate far beyond profit margins and shareholder returns which makes it more important than ever that enterprises innovate with purpose.As we strive to make technology human by design,we need to think of security as an enabler an essential way to
80、build trust between people and technology rather than as a limitation or requirement.And we need to build technology without overshadowing or upending what it means to be human.Its a concept we call“positive engineering.”Over the last few years,ethical questions have entered the technology domain fr
81、om a number of different directions.Inclusivity,accessibility,sustainability,job security,protection of creative intellectual property,and so much more.Each of them roots back to one single question:how do we balance what we can achieve with technology with what we want as people?As some humans ente
82、r the digital world for the first time,and others dive deeper and deeper in,companies must prioritize their well-being,privacy,and security.Companies that strive for technological inclusivity will bridge both societal gaps and the voids that exist between the organization,its employees,and its custo
83、mers.As technologies become more human and expand opportunities for enterprise growth,they must also create new paths for humans to thrive.This is a transformative moment for technology and people alike,and the world is ready for you to help shape it.93%of executives agree that with rapid technologi
84、cal advancements,it is more important than ever for organizations to innovate with purpose.A match made in AIReshaping our relationship with knowledgeTechnology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 14#TechVision2024582001187320082
85、025720029203119751990Ask Jeeves is founded.8OpenAI releases ChatGPT.15The first scientific journal is printed.1Google goes online with its PageRank algorithm.9 Bing Chat is unveiled by Microsoft.16Encyclopedia Britannica publishes its first edition.2Wikipedia launches.10The Dew
86、ey Decimal System is developed for Amherst College Library.3Stack Overflow begins crowdsourcing programming questions and answers.11A leading airlinewill announce that customers are just as satisfied with chatbot agents as human agents.The“Ask NYPL”(New York Public Library)hotline opens.4Microsoft i
87、ntroduces SharePoint for enterprises.12 Data poisoning(adding malicious data to ML models)will be a top cybersecurity threat to enterprises.ORBIT launches as a database search service for research abstracts.5Google announces its knowledge graph,a significant step toward semantic search.13Researchers
88、 propose K-BERT,a knowledge graph-enabled LLM.14Major corporations will have proprietary chatbots to assist with knowledge management,research,and task completion.AI advisors will receive more search traffic than traditional search engines.A smartphone will launch that replaces the app-based interfa
89、ce with an agent-based one.Ohio State University implements the first major digital catalog.6Three McGill University students build Archie,the first search engine.71967Technology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 15#TechVision2024The big pictureOur
90、relationship with data is changing and with it,how we think,work,and interact with technology.The entire basis of the digital enterprise is getting disrupted.Technology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 16#TechVision2024This is no exaggeration.Think
91、 back about 15 years,to when the July cover story of The Atlantic asked,“Is Google Making Us Stupid?”Writer Nicolas Carr claimed that internet search was changing how his mind worked,transforming how he concentrated and how deeply he read.17 Today,we can answer his question with an unequivocal“No.”U
92、sing Google hasnt diminished our intelligence.One point,though,was true how we access information does shape our behaviors.Search changed nearly everything it touched.It became a primary way for people and businesses to interact with data.It wildly expanded the knowledge people can access and reduce
93、d research time from hours to minutes.And it had the same transformative effect on enterprises.It created new inroads into customers lives via ads and search engine optimization(SEO),created new methods of serving and discovering products,and became intrinsic to the employee experience.Were so used
94、to it that most people dont even realize how much search has permeated their lives.But almost 70%of all website traffic begins with search.18 The web made every piece of information part of a vast library.And for over 20 years,search has been our librarian.Then at the end of 2022,leaders in search w
95、ent into high alert.19 For the first time in years,peoples relationship with data was in flux.The“librarian”model was giving way to a new“advisor”model.Rather than run a search to curate results,people were starting to ask generative AI chatbots for answers.It started in November 2022 when OpenAI la
96、unched ChatGPT,which became the fastest-growing app of all time.20 Large language models(LLMs)had been around for years,but ChatGPTs ability to answer questions in a direct and conversational manner made the difference.Microsoft,OpenAIs partner,quickly recognized what was happening and released Bing
97、 Chat in February 2023.21 They positioned it not just as a search tool but as a“copilot for the web.”The next month,Salesforce announced Einstein GPT a generative AI CRM technology that leverages all the customer data a company stores in Salesforce applications to generate content like personalized
98、marketing materials or knowledge articles.22 By June,the electronic health record software company Epic was integrating GPT-4 into its products to allow clinicians to speedily generate summaries of patient charts.23 Were so used to it that most people dont even realize how much search has permeated
99、their lives.Technology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 17#TechVision2024How people access and interact with data is changing.Fast.And this change is a code red not just for traditional search companies,but for every company.Its not just web search
100、 engines but search in the very broadest sense that is being impacted by generative AI everything from searching for an email or a file to looking up customer details in a CRM database.Data is one of the most important factors shaping todays digital businesses.And these chatbots that can synthesize
101、vast amounts of information to provide answers and advice,use different data modalities,remember prior conversations,and even suggest what to ask next are disrupting that undercurrent.Many long-standing enterprise functions like digital marketing,advertising,and product discovery all stand to change
102、.And beyond the open web,companies are also chock full of valuable information that wants to be found and used by customers,employees,partners,and investors.But whether its because we dont recall the right search terms,we cant write the query,the data is siloed,or the documents are too dense,a lot o
103、f that information is hard to access or distill.For the data-driven business of today,thats serious untapped value that generative AI could bring in.However,the true disruption here isnt just in how we access data it could also transform the entire software market.What if the interface to every app
104、and digital platform became a generative AI chatbot?What if that became the way we read,write,and interact with data,as a core competency of all platforms?The evolution happening in search is inevitably changing software,the role it plays in the enterprise,and the digital world at large.Companies ha
105、ve the chance today to reimagine how information works throughout their organization,and in doing so,invent the next generation of data-driven business.Customer experiences and interactions will look different as companies position themselves not just as a search result,but as a trusted advisor.Inte
106、rnal workflows will transform when employees are powered with the information and answers they need,when they need them.As businesses deliver novel products and services,their entire value propositions may shift.Its a huge opportunity.Yet more than that,its absolutely necessary.As an example,conside
107、r how a car manufacturer today can all but guarantee their new makes and models appear in the search results for“New Cars 2024.”Could they say the same if a potential customer was asking an AI what new car they should buy?The attention mechanism that made transformer models so powerful is now sugges
108、ting what people should pay attention to as well.If enterprises fail to act,this transformation in our relationship with data could have consequences ranging from losing out on seamless internal information sharing,to losing direct access to customers,all the way to losing control of their brand.Tec
109、hnology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 18#TechVision2024Every enterprise has an information strategy.Its defined through the software they use,how they market information externally,and how they use it internally.Search,broadly speaking,has under
110、pinned these strategies for decades.But every day,consciously or not,more people shift from search to asking,and more companies look to meet them where they are,using generative AI chatbots as the UI for enterprise platforms and a new access point for customers.Already there are multiple options to
111、implement LLMs and generative AI chatbots in the enterprise,but its far from a simple technology rollout.To truly reap the benefits of generative AI and build the data-and-AI powered enterprise of the future,businesses need to radically rethink their core technology strategy.How they gather and stru
112、cture data,their broader architectures,and how they deploy technology tools and the features they include need to be rethought.And new practices like training,debiasing,and AI-oversight must be built in from the start.Its a lot,but enterprises cant afford to be the last to move.People want the simpl
113、icity of asking questions and getting answers.Who else remembers Ask Jeeves from the 90s?The desire to ask was there,but the backend to support it wasnt.Now with generative AI,a digital butler is finally in the cards.The way we interact with data,and how we live,work,and think,is all changing.Enterp
114、rises need to be just as pliable or a new generation of data-driven business will rise without them.Now,with generative AI,a digital butler is finally in the cards.Technology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 19#TechVision2024The technology:Unlockin
115、g your data-driven enterpriseFPOData powers digital business;theres no question about that.Across every industry and in more ways than we can count,enterprises have worked to build data-driven practices.And yet people still struggle with the most basic part:finding the data they need.This is why peo
116、ple are gravitating towards asking it offloads and automates the mental burden of hunting for data.According to a recent Gartner survey,“47%of digital workers struggle to find information or data needed to effectively perform their jobs.”24 And employees are always looking for information.They look
117、for documents in their teams file share,search the company knowledge base for policy or benefits information,and search their CRM to better understand customers and sales.Whats more,other stakeholders are always trying to find information about the enterprise,too:customers browsing for products or s
118、earching help forums,shareholders looking for ESG filings,or partners trying to validate licensing.For all these people in need of information,many enterprises have failed to build sufficient search capabilities.25 It makes sense that the shift from search to asking is so alluring.Its shaking things
119、 up in a way enterprises desperately need.Putting an LLM-advisor with the breadth of enterprise knowledge at every employees fingertips could unlock the latent value of data and finally let enterprises tap into the promise of data-driven business.Of course,its not as simple as turning the knob to so
120、mething new.Generative AI will be the interface that rests on top of enterprises vast data architectures,but if businesses want to capture its many benefits and transform how people access their information,they need to finally get that foundation right.Technology Vision 2024|Human by design A match
121、 made in AITechnology Vision 2024|Human by design 20#TechVision202495%of executives believe generative AI will compel their organization to modernize its technology architecture.The good news?New technologies and techniques can help enterprises shore up their data foundation and prepare for the futu
122、re of data-driven business.In fact,some enterprises have already taken steps to modernize their data strategy.But the hard truth is that many others are still struggling,and their knowledge management systems are severely lacking.Wherever companies start from,LLM-advisors will demand a data foundati
123、on thats more accessible and contextual than ever.The knowledge graph is one of the most important technologies here.Its a graph-structured data model including entities and the relationships between them,which encodes greater context and meaning.Not only can a knowledge graph aggregate information
124、from more sources and support better personalization,but it can also enhance data access through semantic search.26Shoring up your data foundationTo demonstrate just how powerful a knowledge graph and semantic search can be,consider a use case from Cisco Systems.Like many large global enterprises,Ci
125、scos sales team had tons of content to leverage.But they struggled to find relevant documents through their index-driven search due to a lack of metadata.So,they turned to Neo4j to help create a metadata knowledge graph.While they did not use LLMs,they relied on natural language processing to create
126、 an ontology and a machine tagging service to assign document metadata,which was then stored in a graph database.Now,finding information takes half the time,and Cisco saves its salespeople over four million hours per year with its boosted knowledge management capabilities.27 In addition to knowledge
127、 graphs,other data management strategies will be important.Data mesh and data fabric are two ways to help map and organize information that businesses should look into as they update their overall architecture.And vector databases are essential to represent high-dimensional data for inferring relati
128、onships and similarity.Whats more,while building up an enterprises data foundation is critical to enabling an LLM-advisor interface,LLMs are also a tool to support the creation and maintenance of this foundation.The first step in creating a knowledge graph,for instance,is to determine its ontology,o
129、r the relevant entities and their relationships to each other.LLMs can extract that data from raw texts to automate this process.28 LLMs can also accept natural language text prompts to generate the associated schema and database structure based on the ontology,as well as to populate the graph datab
130、ase.So,as complex data foundations become ever more critical,theyre also becoming easier to maintain and keep up-to-date.29Garbage in,garbage out has been enduring truth of machine intelligence.And in todays age of asking LLMs for answers,its more acute than ever.As enterprises start to bring LLM-ad
131、visors into their businesses,their success or failure here will make all the difference.Technology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 21#TechVision2024On their own,knowledge graphs,data mesh,and data fabric would be a huge step up for enterprise know
132、ledge management systems.But theres a lot of value to be gained in taking the next step and shifting from the librarian to advisor model.Imagine if instead of a search bar,employees could ask questions in natural language and get clear answers across every website and app in the enterprise.With an a
133、ccessible and contextual data foundation,enterprises can start to build this and there are a few different options to explore.First,companies can train their own LLM from scratch,though this approach is rare given the significant resources required.Some of the leaders here are AI powerhouses,includi
134、ng Amazon,OpenAI,Google,Meta,AI21,and Anthropic.Bloomberg also took this approach,using its own massive knowledge base of financial data,along with a public dataset,to train a 50-billion parameter LLM for the financial industry called BloombergGPT.30 It will be made available to customers on the Blo
135、omberg Terminal.31 For large companies with vast resources,however,self-training an LLM from scratch may be an appealing approach to secure a competitive advantage.A second option is to“fine-tune”an existing LLM.Essentially,this means taking a more general LLM and adapting it to a domain by further
136、training it on a set of domain-specific documents.OpenAIs GPT-3.5,for instance,can be fine-tuned using a businesss own data,to hone it into a more custom or efficient model for certain tasks.32 And major cloud providers like Amazon AWS,Microsoft Azure,and Google Cloud all provide services to help th
137、eir customers fine-tune a private version of a foundation model with their own data.33,34,35 These models can then be integrated and deployed in company applications.While this takes considerably fewer resources than training an LLM from scratch,it does not ensure that the model has the latest up-to
138、-date information.This option makes the most sense for domain-specific cases when real-time information is not necessary,like for creative outputs in design or marketing.A slight variation on this is also gaining traction.Enterprises are beginning to fine-tune smaller language models(SLMs)for specia
139、lized use cases.SLMs like DeepMinds Chinchilla and Stanfords Alpaca have started to rival larger models while requiring only a fraction of the computing resources.36 These SLMs are not only more efficient,running at lower cost with smaller carbon footprints,but they can be trained more quickly and u
140、sed on smaller,edge devices.Exploring LLMs as your new data interfaceTechnology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 22#TechVision2024Lastly,one of the most popular approaches to building an LLM-advisor has been to“ground”pre-trained LLMs by providing
141、them with more relevant,use case-specific information,typically through retrieval augmented generation(RAG).As suggested by the name,this combines an information retrieval system with a generative model,which can be either self-trained or used out-of-the-box and accessed through an API.At a high lev
142、el,RAG works something like this:First,a user will type in their request.Next,that input is used to search for and retrieve relevant documents whether unstructured data like text from Word documents,chats,or PDFs,or structured data like CSVs or database tables as vector embeddings.Then,these documen
143、ts,along with a prompt,are sent to the LLM.The LLM is,of course,trained on a huge amount of data initially,but only uses the specific information it receives to generate its response to the user.Grounding an LLM through in-context learning and RAG takes much less time and compute power,and furthermo
144、re,requires far less expertise than training LLMs from scratch or fine-tuning.In fact,this approach is built into Microsoft 365 Copilot,an AI assistant for Microsoft 365 applications and services.37 And Salesforces Einstein GPT uses this approach to ground generative AI chatbot responses too,when co
145、nnected to one of OpenAIs LLMs or any other external LLM.38 This option works best for use cases that require up-to-date information,though verifying for accuracy may still be necessary.The field of generative AI and LLMs is moving fast,so by the time you read this report,there may already be new be
146、st practices for building generative AI advisors.But whatever way you choose to explore,one thing will stay constant:your data foundation needs to be solid and contextual,or your LLM-advisor will never live up to its promise.#TechVision2024Technology Vision 2024|Human by design A match made in AITec
147、hnology Vision 2024|Human by design 23The implications:The future of enterprise knowledgeNow that weve explored peoples changing relationship with information,and how enterprise data practices can evolve to meet the moment,we need to discuss what it will let enterprises do.After all,its one thing to
148、 say LLM-advisors will launch a new generation of data-driven business.Its another thing to build it.Understanding and mitigating risks First and most importantly,as businesses begin to explore the new possibilities LLM-advisors bring,they need to understand the associated risks.In March 2023,a lawy
149、er submitted a brief to a New York judge.In it,he cited multiple prior court decisions,indicating that his clients case should not be dismissed.39 But there was a problem.None of those court decisions,or related quotations and citations,could be found ChatGPT had created fictitious cases.According t
150、o the lawyer,he was not aware that ChatGPT could fabricate information,but the judge was not pleased.Not only did the judge fine that lawyer and others involved,but he required them to notify the real judges who were identified as having written the fake cases.40 Most embarrassing:the colossal mista
151、ke wound up on the front page of The New York Times.41 Technology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 24#TechVision2024 What this lawyer experienced was an almost intrinsic characteristic of LLMs:“hallucinations.”Because LLMs are trained to deliver pr
152、obabilistic answers with a high degree of certainty,there are times when these advisors confidently relay incorrect information.And as LLM applications start to take a bigger share of how we access and relay information,or interact with and integrate software,there can be serious consequences.Any wa
153、y you slice it,when you dont know if what youre reading is true,thats a major issue.And while hallucinations are perhaps LLMs most notorious risk,other issues come up when we think about using these chatbots in the enterprise.If using a public model,proprietary data must be carefully protected so th
154、at it cannot be leaked.And for private models too,data cannot be shared with employees who should not have access.The cost of computing is something that needs to be managed.And underlying everything,few people have the relevant expertise to implement these solutions well.All that said,these challen
155、ges shouldnt be taken as a deterrent,but rather as a call to implement the technology with appropriate controls.And were not starting from zero.The governance that matters most for LLMs is important for any AI implementation,especially when it comes to data security,accuracy,and ethical issues.The d
156、ata going into the LLM whether through training or the prompt should be high quality data.That means it should be fresh,well-labeled,and unbiased.Training data should be zero-party and proactively shared by customers,or first-party and collected directly by the company.42 And security standards shou
157、ld be implemented to protect any personal or proprietary data.Finally,data permissions must also be in place to ensure that the user is allowed to access any data retrieved for in-context learning.Beyond accuracy,the outputs of the generative AI chatbot should also be explainable and align with the
158、brand.There are multiple ways to help achieve this.Guardrails can be put in place so that the model does not respond with sensitive data or harmful words,and so that it declines questions outside its scope.Moreover,responses can convey uncertainty and provide sources for verification.One company tha
159、t does this today is Writer,a generative AI writing platform.It leverages a knowledge graph to highlight the AI-generated content that should be fact-checked,and it also suggests a replacement which may be more accurate,along with its source,based on the relevant information in the knowledge graph.4
160、3 Finally,generative AI chatbots should be subject to continuous testing and human oversight.Companies should invest in ethical AI and develop minimum standards to adhere to.And they should gather regular feedback and provide training for employees as well.Of course,given the power of generative AI
161、chatbots,more associated risks are sure to arise but these are some of the best ways to start mitigating those risks today.Developer interest in generative AI surged in 2023Following the launch of ChatGPT,there was a threefold surge in generative AI-related posts on Stack Overflow.This indicates a s
162、ubstantial ongoing trend among developers who are integrating and adopting generative AI into their workflow.Source:Accenture Research analysis on Stack Overflow Data,timeline:Sep 2022-Aug 2023Total posts mentioning generative AI tools by month:September 2022-August 20--122
163、----08Release of ChatGPT 3X03006009001,2001,5003423723975267088461,1771,1081,1991,1971,3841,189A match made in AI24#TechVision2024Technology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 25#TechVision2024Toyota i
164、s another company leveraging generative AI to scour vehicle owners manuals and provide more direct answers to peoples car questions.45 Currently,they have a proof-of-concept that allows a driver to ask aloud a question like,“How do I disable the VSC?”The Toyota AI will respond with clear instruction
165、s,as well as with the pages in the manual where the driver can find the answer.In addition,research shows that customer service workers can benefit from generative AI chatbot assistance too,likely through the dissemination of more tacit knowledge.46 The findings showed that the AI assistant not only
166、 helped workers become more productive,resolving 14%more issues per hour on average,but it also improved customer sentiment and employee retention,while reducing requests for the manager.Companies are finding ways to add generative AI chatbots to their products too.The social platform Discord,for in
167、stance,has launched AI-generated conversation summaries so that users can quickly catch up on what theyve missed.47 And its moderation tool AutoMod now uses OpenAI LLM technology to inform moderators when rules may have been broken,while also considering the context of the conversation.In addition,S
168、nap has created one of the largest consumer chatbots,My AI,available through Snapchat,which has already received more than 10 billion messages from more than 150 million people.48 Users can use My AI to learn more about their interests and hobbies,as well as to help foster connections with their fri
169、ends.What the shift from search to asking will let us do At last,its time to start capitalizing on todays new age of LLM-advisors.Data and software are so intrinsic to businesses today,in how they operate and in what they fundamentally offer,that enterprises have a huge range of opportunities to cha
170、nge and improve what they do now.Starting with opportunities inside the enterprise equipped with generative AI chatbots,employees and customers will have newfound access to not just knowledge but answers in context,in a way that theyve never had before.This new interface connecting them with the inf
171、ormation they need will amplify internal knowledge sharing,customer service,product capabilities,and much more.Morgan Stanley,for instance,has a vast internal knowledge library,including hundreds of thousands of documents ranging from investment strategies to market research and other insights.44 Th
172、ese documents can be found across various internal sites,mostly in PDF form,so it can require significant time and energy for advisors to scan those documents and find the answers theyre looking for.Now,however,with the help of GPT-4,Morgan Stanley has created a generative AI chatbot that can harnes
173、s this wealth of internal knowledge and help advisors get the insights they need,instantly.Technology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 26#TechVision2024These are just a few examples of opportunities businesses can capture when they combine their dr
174、oves of data with the power of generative AI.And while the value we already see is vast providing the answers employees and customers want in a more accessible way,saving countless hours and frustrations,and enabling better decision-making across the business theres still a lot more to discover.Movi
175、ng to opportunities outside the enterprise:how do generative AI chatbots change the way information about the enterprise is found,say,by customers who are looking to potentially purchase the companys products or services?If peoples relationship with data is changing,then these questions are urgent.A
176、lready,people are replacing traditional search engines with generative AI internet search-bots like Microsoft Bing Chat,or augmenting the search experience with Google SGE,which can provide AI-powered overviews and responses to peoples searches.49,50 Theyre getting direct answers to their queries in
177、 natural language.And while sources are cited and search results are also provided on the page,the question is,will anyone actually visit those links?If they dont,what does that mean for websites and what does that mean for business websites in particular?How can businesses ensure that their custome
178、rs get the right information that they are looking for and need,or the most up-to-date information with the appropriate sources linked?This might sound less like an opportunity and more like a problem,but these are open questions everyone will be tackling in the coming years.Enterprises still have t
179、ime to get ahead and reimagine how they reach customers.Some companies are looking at plugins to give explicit access to external data and improve the outputs of generative AI chatbots like ChatGPT and Bard.For instance,E and CarG websites providing car inventory,pricing,and reviews both launched Ch
180、atGPT plugins to help prospective car-buyers.51 This way,customers can get up-to-date information and explore cars in their own terms and language,without being constrained by the limited search fields.Today,companies with Bard plugins include Redfin,Instacart,and Spotify.52 While plugins are one op
181、tion for now,new trends are sure to gain steam in coming years,and businesses will need to be willing and ready to try new things.Those that do may find themselves at the cutting edge of change.The shift from search to asking is heralding a new era of data-driven business,and its impact on enterpris
182、es marketing and content approaches,as well as how current and potential customers find them,might just decide the winners from the losers in this new age.Among the many other security implications already discussed in this trend,companies should also think about how LLM-advisors may change user dat
183、a dynamics.Historically,search providers have held all the power,storing a treasure trove of data about both companies and their customers,and often leaving people wary of how their information was used and who even had access to it.Now we have an opportunity to reinvent the ethos of search and rest
184、ore trust between businesses and their customers.Companies can now act as stewards of their own information storing,securing,analyzing,and disseminating their data and institutional knowledge directly to customers through digital advisors.This is a big responsibility:your company must ensure that yo
185、ur data remains secure while yielding high-confidence responses in your advisory services.Its an even bigger opportunity:without search providers mediating the exchange of information,companies can serve as a direct source of reliable insight and win back their customers trust.Security implicationsT
186、echnology Vision 2024|Human by design A match made in AITechnology Vision 2024|Human by design 27#TechVision2024Conclusion:A match made in AIGenerative AI is a game-changer for data and software.Just as search did decades ago,LLMs are changing our relationship with information,and everything from ho
187、w enterprises reach customers to how they empower employees and partners stands to transform.Leading companies are already diving in,imagining and building the next generation of data-driven business.And before long,it wont just be leaders itll be the new way digital business works.If youre starting
188、 to think differently about information,then youre on the right track.Meet my agentEcosystems for AITechnology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 29Meet my agent200002692028202220232030203219971999The Mechanica
189、l Turk,an“autonomous”chess player,is built.1The National Academy of Sciences hosts a colloquium on agent-based modeling.8Update allows ChatGPT to receive speech and image inputs.14Apple releases Siri.9Auto-GPT and BabyAGI are launched.15A new code repository will launch for open-source code written
190、by agents.Three-fourths of knowledge workers will use copilots every day.The first truly lights-out car manufacturing plant will open.One half of home mortgages will be approved and serviced by agents.Authorities will dismantle an insider trading ring that was using intelligent agents to collect pro
191、tected information.The first automatic telephone exchange is installed.2Schwab Intelligent Portfolios,an autonomous investment advisor,is launched.10GM successfully integrates the Unimate robotic arm in their manufacturing process.3Research shows that humans working with software agents reach soluti
192、ons 55.6%faster.11BargainFinder becomes the first comparison-shopping agent.4DeepMinds AlphaStar becomes a Grandmaster in StarCraft II.12Amazon announces Proteus,its first fully autonomous mobile robot.13NASDAQ uses an agent-based model to simulate the stock market.6eSnipe,a tool to automatically pl
193、ace eBay bids,launches.7Microsoft releases Clippy.5Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 30Meet my agentCan an AI agent launch your next product?The big pictureTechnology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by d
194、esign 31Meet my agentIt might sound futuristic,but it could happen sooner than you think.Already,enterprises are embedding AI across business operations.Generative AI has transformed industry leading creative tools at Adobe and propelled product ideation at Volkswagen.16,17 Siemens and Fanuc have re
195、imagined manufacturing by embedding AI across robotics and industrial processes.18,19 And in the last few years,the advent of foundation models has radically expanded the deployment of AI to departments like marketing and sales to rapidly create new content and expedite time to market.20 With all th
196、is intelligence at their fingertips,enterprises need to start asking these kinds of questions:“Can AI launch my next product?”“Can it run my warehouse?”“Can it restructure my organization?”Otherwise,theyre at risk of thinking too small.We are beginning to see AI break out of its limited scope of ass
197、istance to engage more and more of the world through action.Over the next decade,we will see the rise of entire agent ecosystems large networks of interconnected AI that will push enterprises to think about their intelligence and automation strategy in a fundamentally different way.A useful analogy
198、for the progression of AI agents is the advancement of self-driving cars.For many years,drivers were entirely responsible for the operation of the vehicle(no AI).But then semi-automated systems like cruise control or lane assist came into play(AI that assists).After that,automated driving became ava
199、ilable to drivers in limited conditions,and then fully self-driving cars requiring no driver at all(agents with increasing action).And if you extrapolate this trend,we can imagine a future with self-driving cars that all work together on the road(an ecosystem of agents).For cars,these advances have
200、not come as precise step changes but as progress on a continuum.The evolution of AI agents will be the same.Today,most AI strategies are narrowly focused on assisting in task and function.To the extent that AI acts,it is as solitary actors instead of an ecosystem of interdependent parts.We might use
201、 AI to participate in design,find manufacturing flaws,or pull insight from consumer feedback but it usually recommends rather than takes action,and is generally siloed,not threaded across an entire operation.But now things are beginning to change.As AI evolves into agents,automated systems will make
202、 decisions and take actions on their own.Agents wont just advise humans,they will act on humans behalf.AI will keep generating text,images,and insights,but agents will decide for themselves what to do with it.Look at DoNotPay,a company designed to help consumers save money from contesting parking ti
203、ckets to identifying unused subscriptions.Until recently,DoNotPay identified these issues and prompted customers to take action but then the company integrated GPT-4 and AutoGPT into its software.21 The first user of these new features was DoNotPays CEO.He gave the agent access to his financial acco
204、unts and prompted it with a concise yet complex task:find me money.The agent identified$81 in unnecessary subscriptions and an unusual$37 in-flight Wi-Fi fee.Then,it offered to automatically send cancellations to the subscription providers,drafted a letter to contest the Wi-Fi charges,and checked in
205、 with the CEO for review.As icing on the cake,it even drafted and sent emails that negotiated a 20%reduction in the CEOs cable and internet bill.96%of executives agree that leveraging AI agent ecosystems will be a significant opportunity for their organizations in the next three years.Technology Vis
206、ion 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 32Meet my agentBut even as this agent evolution begins,companies already need to start thinking about whats next.Because if agents are starting to act today,its not long until they start acting with each other.Tomorrows AI
207、 strategy will require the orchestration of an entire concert of actors:narrowly trained AI,generalized agents,agents tuned for human collaboration,and agents designed for machine optimization.These agents will build on each others efforts,forming an ecosystem that will transform both how and what c
208、ompanies are capable of producing.Instead of using AI to optimize an isolated business process,agents could command entire chunks of the value chain.Today,AI can detect manufacturing flaws,but agents could enable true lights-out manufacturing.AI is already processing orders,yet agents could sell you
209、r product and then get it to the customers door.Just as the moving assembly line allowed Ford to reimagine what the automobile market could be,agent ecosystems will let companies reinvent what they offer and how they offer it.With markedly greater efficiency across multiple departments,will your pri
210、ces become accessible to a new demographic?With greater insights and ideas across the enterprise,will you create a product that captures an entirely new market?With comprehensive access to your organizations information,agent ecosystems could generate opportunities and solutions that neither siloed
211、AI nor siloed humans could conceive.But theres a catch:theres a lot of work to do before AI agents can truly act on our behalf,or as our proxy.And still more work before they can act in concert with each other.The fact is,agents are still getting stuck,misusing tools,and generating inaccurate respon
212、ses and these are errors that can compound in a hurry.Without the appropriate checks and balances,agents could wreak havoc on your business.Innovative leaders will build the scaffolding that agents need to gradually earn their organizations trust and fulfill their explosive potential and they will t
213、urn to human employees as the first test pilots,deciding when and where internal agents should be allowed to fly solo.In other words,people will create the support systems that turn agents into reliable actors,and success here will determine if agents work for or against the organization.Humans and
214、agents are co-dependent;if you want to reinvent your AI strategy to tap into agent ecosystems,you need to reinvent your people strategy,too.Already,40%of all working hours across all industries could be impacted by large language models(LLMs)like GPT-4.22 And that number is likely to grow.While weve
215、 discussed pairing humans and machines at the task-level before,we have never prepared for AI to operate our businesses until today.As agents are promoted to be our colleagues and our proxies,we will need to reimagine the future of tech and talent together.Its not just about new skills,its about ens
216、uring that agents share our values and goals.Agents will help build our future,and its our job to make sure they build a world we want to live in.Today,AI can detect manufacturing flaws,but agents could enable true lights-out manufacturing.Technology Vision 2024|Human by design#TechVision2024Technol
217、ogy Vision 2024|Human by design 33Meet my agentThe technology:From assistance to actions to ecosystemsCompanies are kicking off their most important transformation of the next decade.Every step in this AI evolution will introduce discrete technologies that,on their own,hold enormous innovative poten
218、tial.But it is critical that leaders also recognize these pieces as part of something greater:the agent ecosystem.AI assistants are maturing into proxies that can act on our behalf.As these agents emerge,the resulting business opportunities will depend on three core capabilities:access to real time
219、data and services;reasoning through complex chains of thought;and the creation of tools not for human use,but for the use of the agents themselves.Along with humans to guide and oversee them,these advancements will allow agent ecosystems to complete tasks in both the physical and digital worlds,gene
220、rating immense value for every enterprise that takes part and risking obsolescence for those who dont.Starting with access to real time data and services when ChatGPT first launched,a common mistake people made was thinking the application was actively looking up information on the web.In reality,GP
221、T-3.5(the LLM upon which ChatGPT was initially launched)was trained on an extremely wide corpus of knowledge and drew on the relationships between that data to provide answers.In fact,at that point,if you looked closely(or even asked it),it would tell you that the knowledge it held only went up to S
222、eptember 2021.But we live in the present.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 34Meet my agentrequire a series of complex instructions for machines.Imagine walking across the room to get a glass of water.You dont have to think too hard about it,b
223、ut a machine needs to understand what a glass is,where to find it,how to get there,how to pick it up,how to fill it,and where the sink is before water even enters the glass.Some may argue that AI has been doing complex tasks for some time now,such as playing chess or packing boxes.But these are rela
224、tively specific tasks,in which any deviation from the pre-trained instructions often results in failure.If we cant find a cup where we thought we left it,we adjust and go look for it.If a narrow AI is faced with a similar disruption,its usually programmed to abort or restart the task.Even todays LLM
225、s face similar limitations.With no internal memory,the ability to manage complex sequences has been a problem.It may not abort the request,but it could do something like confidently provide a false answer.But AI research is starting to break down barriers to machine reasoning.Chain-of-thought prompt
226、ing is an approach developed to help LLMs better understand steps in a complex task.25 It started with researchers realizing they could provoke better outcomes by breaking down prompts into explicit steps,or even prompting the model to“think about this step by step.”Further research showed that by u
227、tilizing few-shot techniques and providing the model with several chained-reasoning examples,the model would adapt to follow a similar sequence in other tasks.26 For any tool to become a meaningful agent,it will need to combine the skills developed from a carefully cultivated historical record with
228、the current information that comes from a rapidly expanding dataset of current events and knowledge.In March 2023,OpenAI announced the first plugins for ChatGPT.“Plugins”allow LLMs to look up information,use digital software,execute code,call APIs,and generate outputs beyond text by allowing the mod
229、el to access the internet.Instead of relying solely on the weights and tokens that make up the models intelligence,ChatGPT can now search Expedia to get travel information,access Instacart for ordering groceries,and engage Wolfram(a computational intelligence platform)to perform complex mathematical
230、 calculations.23 After just a few months,ChatGPT had access to hundreds of plugins.24 By the time you read this,those numbers may be higher.These plugins transform foundation models from powerful engines working in isolation to agents with the ability to navigate the current digital world.While plug
231、ins have powerful innovative potential on their own,theyll also play a critical role in the emergence of agent ecosystems.Today,plugins give AI access to our most relevant digital tools,but tomorrow plugins could allow agents to engage powerful AI models,enabling far more than AI has ever done alone
232、.The second step in the agent evolution is the ability to reason and think logically because even the simplest everyday actions for people Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 35Meet my agentThis style of prompting can initially require human in
233、put,but research continues to reveal that models can be engineered to self-critique and file information into their working memory opening the door to automating this type of reasoning.27 AutoGPT and BabyAGI are two open-source applications that leverage LLMs and automate chain-of-thought prompting.
234、These applications will take broad queries or instructions,and then prompt themselves to think through the steps and ways to accomplish their goals,articulating for themselves a detailed set of instructions that they will then use to accomplish the original ask.28,29Between chain-of-thought reasonin
235、g and plugins,AI has the potential to take on complex tasks by using both tighter logic and the abundance of digital tools available on the web.They imbue AI with the potential to navigate more uncertainty and with more solutions,opening up far greater opportunities for businesses.But what happens i
236、f the required solution isnt yet available?When humans face a challenge that exceeds our equipment,we acquire or build the tools we need.We run out to the hardware store,write a piece of code,or otherwise find what we can use to overcome the challenge.AI used to rely on humans exclusively to grow it
237、s capabilities.But the third dimension of agency we are seeing emerge is the ability for AI to develop tools for itself.Not only does Googles research demonstrate the rapidly expanding capabilities of AI to act,but it signals the beginning of multiagent interaction,as well as the opportunity that co
238、mes with it.LLMs today require immense computing resources,making them expensive to develop and run.LATM proposes a specialization strategy,where requests that have already been solutioned become more routine and therefore executable by lightweight models.The“tool maker”does the heavy lifting,reduci
239、ng the computational costs required.And LATM isnt the only time Google has explored multi-agent interaction.In 2023,Google ran an experiment where they put 25 distinct agents,each with their own perspectives and backstories,into a virtual town.33 The agents were given the freedom to interact with on
240、e another and the ability to store those interactions as memories,which they could reference later.What Google found were emergent social behaviors.When they prompted one agent to throw a Valentines Day party,it invited other agents to the party,who in turn asked each other to go as dates.Take Nvidi
241、a,which along with researchers from several universities,explored the possibility of developing an“embodied agent.”They built their agent Voyager in Minecraft,a popular game about survival and exploration that takes place in a 3D world.30 To navigate this world,players acquire resources that allow t
242、hem to forge new tools,like a pickaxe or lantern,which let them further traverse and shape their environment.Voyager was given the instruction to explore,and it was equipped with a skill library it could add to over time.As Voyager met new barriers,it would learn which tools were needed to overcome
243、the obstacle,then store that information in its library.When encountering further obstacles,it would increasingly draw from its skill library effectively,actions it taught itself to overcome them faster.31 The game has a hierarchy of skills and tools,where players can only move up by mastering the l
244、ower-level skills.Researchers were able to confirm Voyagers learning ability by watching it move up this skill tree.Tool-building agents arent just confined to simulations,they have real world potential.Researchers from Google,Stanford,and Princeton are working on generalizing this tool-making abili
245、ty.32 In their paper“Large Language Models as Tool Makers”(LATM),the research team took a novel approach to how AI can create new,reusable tools to solve problems.They developed a closed-loop system comprised of two distinct AI models:the tool maker and the tool user.Instead of relying on a single m
246、odel to accomplish an entire request,LATM takes a collaborative approach.As the model receives requests,the“tool maker”creates Python functions that accomplish the objective.But rather than executing the function itself,the maker hands it off to the“tool user”a separate,more lightweight AI model.Ove
247、r time,the tool user can respond to requests that fit its growing set of tools,and the tool maker improves tools over time by learning from similar requests.Tool-building agents arent just confined to simulations they have real world potential,too.Technology Vision 2024|Human by design#TechVision202
248、4Technology Vision 2024|Human by design 36Meet my agentSocial behaviors in agents can enhance outcomes for the entire ecosystem.In another example,researchers from the Allen Institute for AI simulated negotiations between a buyer agent and a seller agent,with a third-party critic agent that provided
249、 feedback to improve bargaining.34 The buyer and seller models incorporated feedback from the critic to improve future negotiation rounds.This diversity of perspectives could serve several purposes:a system of checks and balances to strengthen decision making;a productivity mechanism;or divergent in
250、spiration to create novel solutions.From real-time information to reasoning,tool creation,and multiparty interaction,valuable agent breakthroughs are happening fast.But this is why it is so critical to maintain focus on the evolution of the whole ecosystem because as independently valuable as each o
251、f these developments are,their combination will spark a revolution in how we apply artificial intelligence.Agents,for example,can already automate entire tracts of scientific research by looking for information on the web,consulting scientific documents,and using scientific equipment in a cloud lab.
252、35 Googles PaLM-E can take a command in natural language,break it down into a series of subtasks,then generate and execute commands to control physical robots.36 Its not difficult to imagine such an agent leading an entire manufacturing plant.And MetaGPT can automate an entire software development s
253、tream by acting as a product manager,architect,project manager,and engineer all rolled into one,delegating tasks to its array of GPTs.From one line of text,MetaGPT can generate user stories,competitive analyses,requirements,data structures,APIs,documents,and beyond.37The agent ecosystem may seem ove
254、rwhelming.After all,beyond the three core capabilities of autonomous agents,were also talking about an incredibly complex orchestration challenge,and a massive reinvention of your human workforce to make it all possible.Its enough to leave leaders wondering where to start.The good news is existing d
255、igital transformation efforts will go a long way to giving enterprises a leg up.Data modernization and creating libraries of APIs will be key to integrating enterprises systems into the AI ecosystem.Its important to remember,though,that these models are not without their own drawbacks.Faulty respons
256、es remain inherent to LLMs.And much more research is needed on the risk and cybersecurity implications of leveraging these models.How enterprises balance the division of work between human and machine will be a delicate process that must,above all,prioritize human needs and benefits,not just whats p
257、ossible with the technology.But make no mistake:the next decade will see the emergence of the agent ecosystem and the enterprises who embrace it will effectively outpace their competition.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 37Meet my agentThe i
258、mplications:Aligning tech and talent in the workforce What happens when the agent ecosystem gets to work?Whether as our assistants or as our proxies,the result will be explosive productivity,innovation,and the revamping of the human workforce.As assistants or copilots,agents could dramatically multi
259、ply the output of individual employees.For the enterprise processes that will always depend on humans,agents will act as collaborators.Diagnosing a medical condition?Agents could help,but they wont share the diagnosis with the patient.Need to inspire your team?Agents could write the speech,but they
260、wont deliver it.As copilots,agents and humans will complement each other,each playing to their own strengths.In other scenarios,we will increasingly trust agents to act on our behalf.As our proxies,they could tackle jobs currently performed by humans,but with a giant advantage a single agent could w
261、ield all of your companys knowledge and information.Their knowledge base would far surpass that of your most senior human employees,and agents could act on this knowledge everywhere,all at once.When they dont have the information they need,they could create it.When they dont have the proper tools,th
262、ey could build them.Humans have limits on their knowledge and their ability to take action.For agents,many of those limits wont apply.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 38Meet my agentSo,what happens when agents work together?Imagine you need
263、to boost sales for a struggling product.Your Product Management Agent works with your Finance Agent to set a growth target.Your Business Development Agent identifies new potential customers,and your Marketing Agent creates aligned campaigns.Such a network of agents could act and iterate continuously
264、,pivoting after a missed target and doubling down when they hit the mark.The agent ecosystem is an inexhaustible source of productive innovation.The companies that promote trusted agents to positions of power will discover new products,services,and capabilities.The more power we give agents over the
265、 value chain,the more value they can create.When we arm agents with information and tools,many of their abilities will transcend ours meaning every company and every person will be empowered to do and create more than they ever could before.No digital market will ever be the same.Businesses will nee
266、d to think about the human and technological approaches they need to support these agents.From a technology side,a major consideration will be how these entities identify themselves.Today,machines make up 43%of identities on enterprise networks.38 But they dont act alone,and we have an existing secu
267、rity framework for how they connect.As agents take more actions on their own,with behaviors that may mimic their human counterparts,technologies like Web3,decentralized identity,or other emerging solutions will become critical to making sure these agents can properly identify and authenticate themse
268、lves.Yet while the framework of technology is a core consideration,the impacts on human workers their new responsibilities,roles,and functions demand even deeper attention.To be clear,humans arent going anywhere.Yes,your people will have extra capacity,but they are going to need it.As agents take ov
269、er enterprise functions,it wont be a purely machine operation.Humans will make and enforce the rules for agents.Its time to rethink your talent strategy to prepare your people for this new reality.Today,machines make up 43%of identities on enterprise networks.Technology Vision 2024|Human by design#T
270、echVision2024Technology Vision 2024|Human by design 39Meet my agentRethinking human talent What brave new world will agents inspire for your organization?The answer should come from your humans,not from your agents.In the era of agent ecosystems,your most valuable employees will be those best equipp
271、ed to set the guidelines for agents.As agents build their autonomy,humans must make and enforce the rules to ensure that their proxies act for the betterment of the company and the people within it.As humans are empowered by these agents to do more than they ever could before,both must have the comp
272、anys North Star in mind.Whatever choices and decisions your employees make,for better or worse,are about to be amplified.A companys level of trust in their autonomous agents will determine the value their agents can create.Your human talent is responsible for building that trust.Agent ecosystems wil
273、l take actions without humans,but they wont In the era of agent ecosystems,your most valuable employees will be those best equipped to set the guidelines for agents.always take the right actions.Before unleashing agents,humans need to embed rules,knowledge,and reasoning skills,and then rigorously te
274、st agents to ensure their readiness.As agent ecosystems evolve,humans have two primary responsibilities to engender trust in semi-autonomous systems:building agent support systems and refining machine reasoning.Employees at frontier organizations are already driving autonomous AI toward accurate act
275、ions by curating their agent support systems.Existing LLMs are trained on massive amounts of information,which allows tools like ChatGPT to answer a range of questions with moderate accuracy.But if an agent controls your supply chain,for example,it first and foremost requires expertise on your suppl
276、y chain and extraneous information could lead your agent astray.As your employees embed your enterprise knowledge,proprietary data,and external tools into autonomous AI,these support systems can dictate the information the AI systems prioritize.Investment research company Morningstar has successfull
277、y focused its GPT-3.5-embedded chatbot“Mo”on relevant proprietary information by providing such a support system.39 Prompt-tuned on more than 10,000 pieces of proprietary research,Mo serves as an advisor to Morningstars financial advisors and customers and its able to do this because Morningstars hu
278、man workforce set the stage in the background.Specifically,one Morningstar team created rules for what Mo can and cant answer,and Morningstars lawyers ensured that none of Mos capabilities violated ethical or regulatory bounds.40 Morningstar proactively deployed their humans to put bounds on Mo beca
279、use reactive trial-and-error isnt an option when youre dispensing financial advice.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 40Meet my agentEnterprise knowledge can no longer exist solely inside your employees if its to be any value to agents.Now,you
280、r human talent must be able to extract their knowledge and skills so that it can be transferred to and used by your digital agents,too.As agents get access to the right information,humans must also teach agents how to reason about that information.In its simplest form,humans will test and correct ag
281、ent reasoning.This is already happening at some companies today.For example,Morgan Stanley fine-tuned GPT-4 on 100,000 internal documents,creating an agent that answers questions for their financial advisors.41 Their employees regularly ask the agent a series of“golden questions”to make sure its“thi
282、nking”stays sharp.When the system answers incorrectly,these knowledge managers go back into the training documents to figure out what needs to be fixed.But it isnt enough to just think logically,agents also need to understand their limits.When does an agent have enough information to act alone,and w
283、hen should it seek support before taking action?The specifics will vary agent to agent,company to company,and industry to industry.But across the board,humans will decide how much independence to afford their autonomous systems.Humans need to teach agents how to determine what they know,and more imp
284、ortantly what they dont know,so that agents can gather the information and certainty needed to keep working.Self-examining agents wont hit the workplace in the immediate future,but the seeds of a reflective generation of agents are already being sown.LLM-based planners are now capable of determining
285、 their level of certainty for an action and reaching out for human support when confidence is low.42 When the stakes arent high,a lower confidence level may suffice.An agent creating marketing material is unlikely to face life-or-death decisions.But when the stakes are high,the only options are to a
286、ct with certainty or not at all.The human knowledge and reasoning skills that an agent absorbs will determine the agents competitive edge in the broader ecosystem.In other words,agents are only as valuable as the humans who teach them.Technology Vision 2024|Human by design#TechVision2024Technology V
287、ision 2024|Human by design 41Meet my agentWhat sort of human talent will give you an advantage?In the agent ecosystem era,your talent must have an intricate understanding of your companys values and mission and the ability to affect that vision to the agent ecosystem.If employee,agent,and company go
288、als fall out of alignment,your actors will move fast in different directions.When this happens,the best-case scenario is stalled growth,the worst-case scenario is organizational destruction.When your actors are aligned,however,their actions will compound to accelerate your company towards its far-re
289、aching goals.With that potential acceleration of action,productivity,and value,businesses will need to decide what to do with it all.Will you create new products and enter new markets?Will you pay your employees more or embrace a four-day work week?In fact,all of these choices can be beneficial.Thin
290、k again of Ford and the introduction of the moving assembly line.Ford was able to increase wages and decrease working hours,which not only attracted workers but afforded them the time and wages to drive the very cars that they were building.This new era could usher in the paradigm shift for work tha
291、t many have been waiting for.Even better,everyone could benefit.Agents are only as valuable as the humans who teach them.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 42Meet my agentWhat companies can do nowWhat can you do now to set your human and agent
292、 workforce up for success?Give agents a chance to learn about your company,and give your company a chance to learn about agents.Companies can start by weaving the connective fabric between agents predecessors,LLMs,and their support systems.There are many mature generative AI models and a few digital
293、 copilots ready to be linked up to the humans,data,tools,and robots that are already critical to your company.By fine-tuning LLMs on your companys information,you are giving foundation models a head-start at developing expertise.The sooner you prepare your infrastructure and information to be acted
294、upon by agents,the sooner your future agents will be ready to fulfill their potential:acting as human proxies within and outside of your organization.For now,this introduction will require rethinking some of your data management practices,such as vectorizing databases,providing new APIs for accessin
295、g data,and expanding your tools to interface with corporate systems.Its also time to introduce humans to their future digital co-workers.Companies can lay the foundation for trust with future agents by teaching their workforce to reason with existing intelligent technologies.Challenge your employees
296、 to discover and transcend the limits of existing autonomous systems.Help your people develop well-defined rules for when they can and cannot trust the autonomous systems at their disposal.In other words,train and upskill your human workforce such that they are ready and excited to take the reins an
297、d know just how tightly to hold them when agent ecosystems hit mainstream.Finally,let there be no ambiguity about your companys North Star.Every action your agents take will need to be traced back to your core values and a mission,so it is never too early to operationalize your values from the top t
298、o the bottom of your organization.When your proxies start accelerating and amplifying the work of your human workers,they wont stop until they reach their goals.Its time to get crystal-clear about what those goals are.By fine-tuning LLMs on your companys information,you are giving foundation models
299、a head start at developing expertise.From a security standpoint,agent ecosystems will need to provide transparency into their processes and decisions.Consider the growing recognition of the need for a software bill of materials a clear list of all the code components and dependencies that make up a
300、software application so as to let companies and agencies under the hood.Similarly,an agent bill of materials could help explain and track agent decision-making.What logic did the agent follow to make a decision?Which agent made the call?What code was written?What data was used and with whom was that
301、 data shared?The better we can trace and understand agent decision-making processes,the more we can trust agents to act on our behalf.When agents err or overshare,these vulnerabilities can only be identified if the agent decision-making process is decipherable.This wont always be as onerous as it so
302、unds:as humans refine agent thought processes and memory,agents can become self-healing relying on the vulnerabilities of past agents to drive a more accurate,autonomous,and secure agent evolution.Security implicationsTechnology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human
303、by design 43Meet my agentConclusion:Meet my agentAgent ecosystems have the potential to multiply enterprise productivity and innovation to a level that humans can hardly comprehend.But they will only be as valuable as the humans that guide them;human knowledge and reasoning will give one network of
304、agents the edge over another.Today,artificial intelligence is a tool.In the future,AI agents will operate our companies.It is our job to make sure they dont run amok.Given the pace of AI evolution,the time to start onboarding your agents is now.The space we need Creating value in new realitiesTechno
305、logy Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 45The space we need1957Morton Heilig invents the Sensorama,a multisensory immersive movie experience.92200620999The first tactile telephone is patented.2Xerox PARC releases the graphical user
306、interface(GUI).3Louis Rosenberg creates the first interactive AR system.4Roblox officially launches.7 Microsofts Kinect,for Xbox gesture and voice control,becomes the fastest-selling consumer device.9Simon Greenwold coins the term Spatial Computing.6 BMW runs the first AR advertisement.8The first ca
307、mera phone is released.5200018Oculus VR is founded.10Google Glass sales begin.11Pokmon Go reaches 228 million downloads in its first quarter.12Apple announces ARKit for developing AR apps.13Nvidia releases the Omniverse platform.16Snapchat launches Landmarkers-AR overlay techno
308、logy.15Not Impossible Labs creates a haptic suit to let people feel music.14 202320262027202820312030Apple announces the Apple Vision Pro spatial computer.18A professional sports league will launch an immersive 3D replay and highlight platform.A major city will add spatial entertainment,directions,a
309、nd information to public spaces.A state public school system will announce offering physics courses taught entirely in an immersive spatial environment.A news site specializing in spatially immersive content will become the fastest growing new media company.The gaming market will be dominated by VR
310、and spatially immersive games.2021Microsoft Mesh,an immersive collaboration platform,is released.17 Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 46The space we needThe big pictureWhen the original Macintosh launched in 1984,it was met with skepticism.Th
311、e mouse was called useless and awkward.19 In 2001,when Apple launched the iPod,it was criticized for entering a crowded market at too high a price point.The iPad?It was scoffed as a glorified iPod touch,an absurdity because“how could anyone get serious work done without a mouse?”20,21Technology Visi
312、on 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 47The space we needApple got the last laugh.Today the Macintosh is considered a revolutionary product,as is the iPod,iPhone,and iPad.They each shaped the world of computing in unique and transformative ways.Still,in 2023 wh
313、en Apple launched the Vision Pro,its mixed reality glasses,it seemed the critics hadnt learned their lesson.This was Apples entry into spatial computing an already growing market and should signal to every enterprise leader that a new technology medium has arrived.Yet few are recognizing the moment
314、for what it is.Spatial computing is about to change the course of technology innovation and the ways people work and live.Whereas desktop and mobile used screens as portals to the digital world,spatial will finally combine our disparate realities,fusing digital and physical together.Apps built for t
315、his medium will let people immerse themselves in digital worlds with a physical sense of space,or layer content on top of their physical surroundings.Its a huge moment.Distinct technology eras are shaped and defined by the computing mediums we use.Desktop introduced Spatial computing is about to cha
316、nge the course of technology innovation and the ways people work and live.consumers to the information world.Then mobile untethered the digital world,letting us take computers everywhere.And throughout the explosive technology innovation of the past decades,desktop and mobile were the foundation of
317、it all.The fact is,computing mediums dont change very often,and its a big deal when they do.So,why doesnt it feel like were at the beginning of a new technology era?Why are we inundated instead with talk of a“metaverse slump”?The metaverse is one of the best-known applications of spatial computing.B
318、ut just look at the price of digital real estate,booming in 2021 and 2022,down 80-90%in 2023.22 While some early endeavors are succeeding,why are so many others falling flat?This is why we need to remember the Macintosh.New mediums dont come very often,and when they do,the uptake is slow.But the pay
319、off for diving in early is nearly immeasurable.Some companies are holding off,content to say metaverse hype outpaced technology maturity.But others are racing ahead,building the technology capabilities themselves.Meta has been rapidly developing its Reality Labs VR and AR products,and introduced Cod
320、ex Avatars,which use AI and smartphone cameras to create photorealistic avatars.23,24 Epics RealityScan App lets people scan 3D objects in the physical world with just their phone and turn them into 3D virtual assets.25 Underlying it all,advancing technologies like generative AI continue to make it
321、faster and cheaper to build spatial environments and experiences.And,perhaps quietly,these technologies are already being proven out in industrial applications.Digital twins for manufacturing,the growth of VR/AR in training and remote operation,and the establishment of collaborative design environme
322、nts are all already having practical and valuable impacts on industry.Across the board,forward-thinking companies acting today recognize a core truth:expecting immediate,mass adoption of a new medium is unrealistic,but wait too long and youll spend the next five or ten years trying to catch up.But w
323、hile the supporting technology is radically improving,its only the first hurdle.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 48The space we needEnterprises that fail to see the significance of a new computing medium will struggle to get the applications
324、 right,too.Think back to the move from desktop to mobile.Google Maps debuted in 2005 as a desktop app,and it changed how people navigated the world.26 But people still printed out their routes to take them on-the-go.Then the smartphone arrived.Google met the moment by unveiling a mobile Google Maps,
325、which drew on real-time user data to refine its accuracy at staggering speed.Now,nearly wherever you and your phone go,you can get from Point A to Point B.More than one billion people today use mobile Google Maps.This success happened because Google didnt just put Google Maps on the phone it changed
326、 what the product was to meet the new mediums advantages.And thats exactly how enterprises need to approach spatial computing.Existing concepts of what an app is no longer apply.If enterprises want to build enriching experiences that truly improve on what we had before,their designs must match the n
327、ew medium.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 49The space we needIt sounds simple,but it isnt.Spatial computing,with its ability to blend physical and digital,is still mostly uncharted territory.Think about your first website or mobile applicat
328、ion.Did your company get it right immediately?Or did it take time to learn from mistakes?Just as before,it will take time for enterprises to build the skills,infrastructure,and experience necessary to deliver new experiences to customers.If enterprises delay,waiting for spatial computing to hit some
329、 imagined saturation,they are committing to being too late.Spatial is quickly becoming a key part of the enterprise fabric.Already,early adopters are finding ways to unlock its unique advantages,and those that follow can rapidly benefit from these learnings.Successful spatial computing deployments i
330、n industrial settings have shown it can be used to better convey massive amounts of complex information by tapping into multiple senses and communication avenues at once.Other experiments have found that when we see applications as“spaces,”we can mold experiences to the individuals environment and g
331、estures,or give them freedom to self-direct.Mobile and desktop users,in contrast,could only click or swipe where the design let them.And with spatial computing able to augment our physical environments,it can lessen our need for bulky office equipment and to repeatedly update physical spaces.A new c
332、omputing medium is exceptionally rare,and so a tipping point lies ahead.Spatial computing could grow to be as groundbreaking as desktop and mobile,ushering in a new era of technology innovation.But to succeed,enterprises need to rethink their position on it,starting today.They need to get out of the
333、 slump and recognize this moment for what it is.The tools are more ready every day how you apply them is what matters now.92%of executives agree their organization plans to create a competitive advantage leveraging spatial computing.Technology Vision 2024|Human by design#TechVision2024Technology Vision 2024|Human by design 50The space we needThe technology:Todays spatial technology landscapeTheres