1、At the Edge of change NAVIGATING THE NEW DATA ERA 2 This study explores how IT decision makers (ITDMs) are approaching data storage, security, processing and insight at the Edge. The “Edge” is defined as the place where people, devices, and things connect to the digital world. Its where enterprises

2、interact with their customers, where manufacturers build products, where employees interact with their colleagues, and where people explore, shop, entertain, and learn. EXECUTIVE SUMMARY: KEY FINDINGS To make these digital interactions at the Edge smarter and more meaningful will require innovations

3、 that create an Intelligent Edge. An Intelligent Edge orchestrates connectivity and compute services centrally so that data from users and devices is processed close to where that data is generated: enabling real-time analysis and surfacing actionable insights that can be used to uncover efficiencie

4、s and improve business outcomes. This study seeks to understand the maturity of the Edge as a trend, the business opportunities it may create, and the barriers to adoption that organizations face. Key findings from the research include: Deployment of the right set of complementary technologies at th

5、e Edge is becoming the defining factor in an organizations ability to derive business value from data. 78% of ITDMs in production deployment with networking, security, compute and storage Edge technologies said they are actively collecting and using data gathered from devices in their technology inf

6、rastructure to improve business decisions or processes. That compares to just 42% of those only piloting Edge technologies, and 31% planning pilots within the next 12 months. EXECUTIVE SUMMARY | INTRODUCTION | THE DATA DELUGE | TOWARDS THE EDGE | AT THE EDGE | BARRIERS TO THE EDGE | CONCLUSION | IND

7、USTRY CONTRIBUTORS | METHODOLOGY While adoption of the full range of Edge technologies is still at an early stage, there is a growing sense of urgency around the need to embrace them. Globally, 82% of ITDMs described their need for an integrated system at the Edge as “very” or “somewhat” urgent. Of

8、those already using Edge technologies, 96% are satisfied with their organizations ability to take advantage of new data and insights captured at the Edge and are seeing business benefits. When asked about the greatest benefits of capturing actionable data from users devices, 53% identified improving

9、 operational efficiencies and costs, 47% noted greater agility and increased security, 44% cited capturing deeper customer insights, and 40% pointed to creating new products, services and revenue streams. 1 Growing urgency 2 Satisfaction at the Edge 3 The emerging divide At the Edge of change | NAVI

10、GATING THE NEW DATA ERA 3 ITDMs in APAC were more likely than their EMEA or Americas counterparts to be deploying Edge technologies, using data extracted from devices to improve business decisions and processes, and to say they are within six months of being able to act on the majority of data colle

11、cted. 4 APAC leads Lack of specialist skills represents one of the main barriers to Edge adoption. 93% of ITDMs said they are missing skills in their organization needed to unlock the power of data, with artificial intelligence (AI) and Machine Learning (ML) skills the most cited missing piece. 5 Sk

12、ills shortage There were mixed feelings on how Edge technology adoption will impact network security. A majority (57%) of ITDMs agreed that connecting IoT or user devices at the Edge had made or would make their business more vulnerable, while 33% said security concerns were one of the top three bar

13、riers to Edge adoption. At the same time, 47% said that an increase in security would be one of the biggest benefits of capturing data from user devices, and surprisingly 75% indicated that IoT adoption would have a positive impact on security in the next two years. 6 Security paradox To make these

14、digital interactions at the Edge smarter and more meaningful will require innovations that create an Intelligent Edge. An Intelligent Edge orchestrates connectivity and compute services centrally so that data from users and devices is processed close to where that data is generated: enabling real-ti

15、me analysis and surfacing actionable insights that can be used to uncover efficiencies and improve business outcomes. This study seeks to understand the maturity of the Edge as a trend, the business opportunities it may create, and the barriers to adoption that organizations face. 4 The data that co

16、mpanies depend upon to track their performance, understand their customers, and make decisions is changing. More precisely, it is moving and expanding. By 2025, Gartner estimates that 75% of enterprise data will be generated outside the cloud and data center environments, a significant increase from

17、 just 10% in 2017.1 INTRODUCTION Data is now being generated, processed and analyzed at its source the Edge which might be an employees mobile phone, a smart sensor in a factory, a touchscreen device in a store, or a robotic assistant in a hospital. Data is moving to the Edge because it increasingly

18、 needs to be utilized in real- time. Even the sub-millisecond latency of sending data back-and-forth to the cloud can undermine the effectiveness of a system and, ultimately, the desired outcomes that depend on it. A set of smart traffic lights, an autonomous piece of machinery on a production line,

19、 or a monitoring device in an intensive care unit must be able to rely on constantly available and actionable data. And as 5G connectivity comes online, use cases become ambitious and the volume of data needed to support them explodes, the only answer will be for that data to live at the Edge. As da

20、ta moves to the Edge, companies must find ways to follow it. For organizations that have become accustomed to a centralized data management approach this may be disconcerting initially. But it is becoming clear to many that the Edge is a concept they must embrace. The volumes of data that enterprise

21、 networks now generate mean that the cost and security implications of trying to manage that data in traditional environments are prohibitive. The Edge may be a growing necessity, but it is also a huge opportunity. With data at the Edge, the level of insight companies can derive, the experiences the

22、y can support, and the use cases they could deploy all become more sophisticated. The Edge makes possible a new phase of digital transformation that will bring more immersive technology to the forefront. Personalization in retail and education, preventative maintenance, monitoring and modernized dia

23、gnostics in healthcare, and advanced automation in manufacturing are just some of the capabilities that should follow. Data at the Edge also underpins many of the safety measures that organizations are adopting in the wake of Covid-19, from automated services to social distancing trackers. Processin

24、g data at the Edge, in real-time, allows organizations to get closer to their users. It provides richer, more granular insight into peoples behavior for example, student progress in a learning environment, consumer expectations and responses to experiences, and patient health on an everyday basis. I

25、ncreasingly, these insights should allow organizations to cater to these users as individuals and not subgroups. Experiences, whether in a classroom, retail store or hospital, can be tailored, adjusted, and improved accordingly. Adoption of data processing and analysis at the Edge is a trend in its

26、relative infancy. This report seeks to understand how organizations across a range of key industries are engaging with it, including the use cases they are trialing, the technologies they are investing in, and the barriers they are experiencing. It combines a global survey of 2,400 ITDMs from 21 cou

27、ntries with input from experts who consult with enterprises about data, AI, 5G, and the Edge. The shift to the Edge is a process that is already starting to unfold, driven by the relentless growth in data from connected devices. In the coming years, the generation, transmission, processing and stora

28、ge of data at the Edge will become pervasive. This report shows how that will happen, and what IT leaders can do to future-ready their organizations as we enter a new era of business. 1. https:/ EXECUTIVE SUMMARY | INTRODUCTION | THE DATA DELUGE | TOWARDS THE EDGE | AT THE EDGE | BARRIERS TO THE EDG

29、E | CONCLUSION | INDUSTRY CONTRIBUTORS | METHODOLOGY 5 At the Edge of change | NAVIGATING THE NEW DATA ERA Data is now being generated, processed and analyzed at its source the Edge which might be an employees mobile phone, a smart sensor in a factory, a touchscreen device in a store, or a robotic a

30、ssistant in a hospital. Data is moving to the Edge because it increasingly needs to be utilized in real- time. Even the sub-millisecond latency of sending data back-and-forth to the cloud can undermine the effectiveness of a system and, ultimately, the desired outcomes that depend on it. A set of sm

31、art traffic lights, an autonomous piece of machinery on a production line, or a monitoring device in an intensive care unit must be able to rely on constantly available and actionable data. And as 5G connectivity comes online, use cases become ambitious and the volume of data needed to support them

32、explodes, the only answer will be for that data to live at the Edge. As data moves to the Edge, companies must find ways to follow it. For organizations that have become accustomed to a centralized data management approach this may be disconcerting initially. But it is becoming clear to many that th

33、e Edge is a concept they must embrace. The volumes of data that enterprise networks now generate mean that the cost and security implications of trying to manage that data in traditional environments are prohibitive. The Edge may be a growing necessity, but it is also a huge opportunity. With data a

34、t the Edge, the level of insight companies can derive, the experiences they can support, and the use cases they could deploy all become more sophisticated. The Edge makes possible a new phase of digital transformation that will bring more immersive technology to the forefront. Personalization in ret

35、ail and education, preventative maintenance, monitoring and modernized diagnostics in healthcare, and advanced automation in manufacturing are just some of the capabilities that should follow. Data at the Edge also underpins many of the safety measures that organizations are adopting in the wake of

36、Covid-19, from automated services to social distancing trackers. Processing data at the Edge, in real-time, allows organizations to get closer to their users. It provides richer, more granular insight into peoples behavior for example, student progress in a learning environment, consumer expectation

37、s and responses to experiences, and patient health on an everyday basis. Increasingly, these insights should allow organizations to cater to these users as individuals and not subgroups. Experiences, whether in a classroom, retail store or hospital, can be tailored, adjusted, and improved accordingl

38、y. Adoption of data processing and analysis at the Edge is a trend in its relative infancy. This report seeks to understand how organizations across a range of key industries are engaging with it, including the use cases they are trialing, the technologies they are investing in, and the barriers the

39、y are experiencing. It combines a global survey of 2,400 ITDMs from 21 countries with input from experts who consult with enterprises about data, AI, 5G, and the Edge. The shift to the Edge is a process that is already starting to unfold, driven by the relentless growth in data from connected device

40、s. In the coming years, the generation, transmission, processing and storage of data at the Edge will become pervasive. This report shows how that will happen, and what IT leaders can do to future-ready their organizations as we enter a new era of business. 1. https:/ 7 1|THE DATA DELUGE In recent y

41、ears, not only has the volume of data generated within organizations rapidly grown, but so too has the importance of deciphering that data for business strategy and success. Data gives companies an ever-more granular view of their customers needs and behaviors and can illustrate the performance of b

42、usiness operations in real-time, allowing companies to pursue opportunities and avert problems. In addition, data underpins a companys ability to unlock the transformative benefits of automation and AI. As organizations pursue digital transformation with even greater urgency than before as Covid-19

43、lingers, data is the cornerstone. With vast volumes being generated by the growing universe of user devices and IoT sensors, organizations must improve their ability to harness, analyze, secure, and store the data at their disposal. This is not a new challenge, but our research suggests it is becomi

44、ng more acute as companies struggle to keep pace with the volume of data flooding out of the influx of IoT devices and congested enterprise networks. A third of ITDMs surveyed globally said that there is too much data for our systems to handle, while 28% suggested they cannot process the data quickl

45、y enough to take action on its insights. Over a fifth (23%) also highlighted problems with budget, a lack of skills, and an inability to collect data from so many different sources. IT leaders in APAC suffered most from the data deluge, with 37% across the region saying they have too much for their

46、systems to handle, versus 35% in Americas and 29% in EMEA. On a country basis, among those who cited the problem most were Brazil (49%), UAE (47%), India (46%) and China (43%). 2. https:/ 28% suggested they cannot process the data quickly enough to take action of ITDMs said that there is too much da

47、ta for our systems to handle 23% also highlighted problems with budget, a lack of skills, and an inability to collect data 37% in APAC 35% in Americas 29% in EMEA 49% Brazil 47% UAE 46% India 43% China These findings build on research that Aruba conducted in March, in which 62% of ITDMs in EMEA said

48、 they are not in complete control of their companys data, and 52% stated that they struggle to translate data into actionable insights.2 IT leaders by region who have too much for their systems to handle EXECUTIVE SUMMARY | INTRODUCTION | THE DATA DELUGE | TOWARDS THE EDGE | AT THE EDGE | BARRIERS T

49、O THE EDGE | CONCLUSION | INDUSTRY CONTRIBUTORS | METHODOLOGY 6 At the Edge of change | NAVIGATING THE NEW DATA ERA 9 3. https:/ 48% can extract and analyze data and use those insights 40% can extract the data but cannot yet apply it 9% are within 6 months of being able to act on data collected 54%

50、are a year away of being able to act on data collected According to Ayesha Khanna, Co-Founder and CEO of ADDO AI, who advises large organizations in APAC on implementing AI, many of these organizations are struggling to implement ambitious plans that rely on effective data management at scale. “We h