Research Proposal: 5G Adoption and AR Solutions in the Enterprise

1. Augmented Reality for Enterprise Alliance Research Project Pitching Presentation All members call 18th July 2019

2. As participants in this meeting, we need to be mindful of the constraints of antitrust laws. • There shall be no discussions of agreements or concerted actions that may restrain competition. • This prohibition includes the exchange of information concerning pricing, rates, coverages, market practices or any other competitive aspect of an individual company’s operation. • Each participant is obligated to speak up immediately for the purpose of preventing any discussion falling outside these bounds. Antitrust Policy

4. AREA research goal • The research committee goal is to conduct an advocacy research program to continually advance AR technologies to the benefit of the AREA members and the wider AR ecosystem

5. Previous AREA research wearable enterprise AR security – now available to wider ecosystem AR ROI calculator – more development work planned Safety & Human Factors Framework & best practice – available to members in good standing Identification of and Strategies for Overcoming Barriers to AR Adoption in Manufacturing Environments – in final review Best Practices when Merging IoT, AI and AR in the Workplace – in final development

6. Meeting - purpose and objectives • Explain in more detail the research proposal • Allow members to ask questions / gain clarification • 5 mins presentation • 2 mins Q&A • Create shared understanding: • What is the problem being solved? • Who’s problem is it (segment / role)? • How the research could be conducted • Expected outcomes • Call will be recorded, split into clips per proposal and added to the voting web site

7. Conduct in meeting • From Research Policy: • Research committee will run a project proposals call that will act as forum for the proposers to pitch (e.g. explain in more detail, answer questions from the members). All members are welcome. • No voting – judging – criticising etc takes place on this call. • It’s an information exchange

8. 1 • Category: Market Research https://youtu.be/qSyO08HTVEU AR and 5G In the Enterprise

9. Current Situation • 5G networks are being rolled out • These low latency/high throughput networks are proposed for AR services at the edge (Edge and cloud computing) • Localization, positioning of users and assets • Computationally-complex tasks (off-loading from display) • Asset caching or storage (off-loading from display) • Proponents of 5G suggest that introduction of these technologies will result in lower total cost of ownership, longer battery life, higher performance and more flexible AR-enabled solutions.

10. Problem this Research Would Address (1 of 2) • Unclear if/how network operators offering 5G services will develop (or could test) and measure the features that they are proposing • No one really knows what’s hype and how much is useful/ready for enterprise use • If 5G is useful for enterprise customers, when and how to prepare

11. Possible Questions the Research Would Answer • How will AR solutions using 5G differ from what is available today? • What are the enterprise use cases for AR over 5G networks? • Who are the technology providers leading the growth of this segment and what are they doing? • What are the new technologies that enterprise IT departments may need to evaluate and manage in the future? • What other technologies will enterprise IT need to use in conjunction with 5G and AR?

12. Whose problem would be addressed? • Providers of enterprise wearable AR platforms would be able to more quickly/reliably • Partner with 5G service providers to develop enterprise AR solutions • Focus on segments and use cases where 5G is most likely to benefit enterprise customers • Enterprise AR managers would be better prepared • To evaluate (or defer) vendors/technologies, discuss options and plan • Discuss their use cases and requirements with potential 5G service providers

13. How would this research be conducted? • Conduct classic market research with interviews and desk study • Develop framework (define services) and populate Enterprise 5G operator landscape • Compile, based on primary and secondary research, examples and analyze patterns to develop current best practices/recommendations and measurement methods for testing 5G services in enterprise

14. Deliverables of this Project • A report compiling research findings and best practices/recommendations • A opportunity and risk analysis of 5G product development/introduction • Executive summary of findings for public release and a webinar

15. Benefits to AREA Members • Increased (terminology, concepts, etc) understanding about 5G services (where, when and how to use 5G) in enterprise • Ability to evaluate requirements and offerings • Providers to begin partnering with network operators • Customers can begin to design their future enterprise infrastructure, products and services strategically

16. 3 Enterprise AR Market Size and Growth Forecast Model • Category: Market Research https://youtu.be/cnNBMCQbbf8

17. Current Situation • There are many market research firms and analysts examining the current size and forecasting the growth of the total global Immersive Technology market. • These experts are classifying, measuring and predicting business opportunities in diverse ways. • The press releases announcing availability of these reports, with very large figures, are often cited as part of business plans and blog posts.

18. Problem this Research Would Address (1 of 2) • While AREA members are focusing on enterprise AR, most Immersive Tech size and market growth forecasts include • Consumer as well as enterprise • AR as well as VR • Those that exclusively focus on the enterprise and industrial use cases for Augmented Reality are limited in depth, clarity or scope. • There is a lack of consistent market segment and use case definitions

19. Problem this Research Would Address (2 of 2) • Fees for the above mentioned market research reports/forecasts are high (often prohibitive or difficult to justify). • Enterprise AR providers as well as customers and investors must make investment decisions based on market size information they develop internally and/or that does not match their experience or target markets.

20. Whose problem would be addressed? • Providers of enterprise AR products and services would be able to more quickly/reliably estimate (by segment, geography, industry, etc)their • Market penetration • Opportunities • Enterprise AR customers would better/more consistently contribute to market sizing by providing their usage/purchase patterns in manner that is clearly defined • Investorswould have more consistent/higher quality figures on which to base their decisions and strategies

21. How would this research be conducted? (1 of 2) • Primary Research a. Analyst to interview AREA members (and others) about how they currently track and can report their activities (sales) • Secondary Research • Top-down-Estimate (using public economic models/reports) total size of IT spending in the top 10+ industries for AR adoption • Bottom up-estimate sales using reports by public companies

22. How would this research be conducted? (2 of 2) • Develop the forecast model with documented assumptions for all configurable fields • Compile in a written AREA-exclusive report instructions for how to adapt/tailor to specific needs.

23. Deliverables • Definitions/classification of market segments (using AREA-defined use cases and AREA member target markets), sources cited for key model assumptions, instructions for how to use the forecast tool in a report • Estimate (tables and graphs) of 2019 market size by segment • 3 year growth forecast tool (spreadsheet) for quantitative modeling for enterprise Augmented Reality • Case study/executive summary for public release by AREA

24. Benefits to AREA Members • The best possible estimates of enterprise AR product and service market size and forecast growth for their decision making/planning purposes. • If the AREA were to release the industry definitions, product and service classes and use case descriptions/requirements which form the core of the forecast model commercial market analysts and market research firms would re-use, adapt and potentially standardize their forecast models on the AREA’s framework

25. 4 Understand minimum requirements and expectations for key use cases that will trigger meaningful adoption of AR glasses from enterprises • Minimum Viable AR Glasses Requirements • Kate Fu, Sr. Manager • Market Insights, Qualcomm

26. Objectives of This Research • Gather the minimum requirements for hardware and software of key use cases, such as shopping, merchandise picking, remote instruction • Understand the acceptable form factors, including design, weight, thickness, tethering, and control, by use cases • Learn the challenges enterprises face when adopting AR glasses, such as system integration, support/services, and employee training etc. • Investigate the ideal pricing and expected ROI, and discover differences by use cases

27. Whose problem would be addressed? • Providers of enterprise wearable AR platforms would be able to • Concentrate their resources on creating products with strong adoption interests • Plan their roadmaps based on the short-term vs. long-term expectations from enterprises • Enterprise safety managers would • be informed of the top use cases and requirements for the initial adoption and get visibility to potential safety impacts that will come shortly • Regulatory agencies or groups would • Understand what use cases and requirements are up-and-coming as the first wave • Prepare for needed regulations and reactions accordingly

28. How would this research be conducted? (1 of 2) • Target US and China as the markets • Plan to conduct qualitative interviews with a total of 30 enterprise adopters and intenders across industries • Will conduct 15 interviews for each market • Qualcomm and AREA will work together to find the best vendor • Kate will be the research manager who monitors the research process and report back to AREA regularly

29. How would this research be conducted? (2 of 2) • AREA will review the key findings and summary before concluding this research project The research project will produce: • Transcripts of interviews • 1 intermediate readout during the interviews • A final readout right after the interviews • A topline report – Released to AREA about 1 month after the fieldwork completion • A final report

30. Benefits to AREA Members • AREA members can get a realistic read from enterprises about what level of user experiences and technological requirements will move the needle to initiate first meaningful adoption • Long term impacts of this research • AREA members will be able to plan their roadmap more efficiently and strategize their milestones to maximize ROI

31. 5 • Category: Market Research https://youtu.be/Be9f2r66oxc AR Cloudin the Enterprise

32. Current Situation • Spatial Computing is emerging • Accurate, three dimensional and spatially-anchored models of the real world are proposed for • Design of AR-enabled services • High fidelity positioning of users and assets • Automatically connecting workers with data from enterprise management systems that have geospatial metadata • AR Cloud proponents suggest that introduction of these technologies will result in lower total cost of ownership, higher performance and more flexible AR-enabled solutions.

33. Problem this Research Would Address • Lots and lots of noise and new companies claiming new features • No one really knows what’s hype and how much is useful/ready for enterprise use • If AR Cloud is useful for enterprise customers, when and how to prepare

34. Possible Questions the Research Would Answer • How do AR Cloud solutions differ from what is available today? • What are the key enablers of AR Cloud? • What are the best use cases for AR Cloud in Enterprise? • What are the reality capture tools and best practices? • What are the processes to segment and analyze big data sets generated during continuous, multi-dimensional reality capture? • What are the sizes, temporal dimensions and formats of these data sets? • How should enterprises secure and manage high capacity/high performance servers on low-latency networks to store, search and retrieve digital assets from these rich 3D models?

35. Whose problem would be addressed? • Providers of enterprise wearable AR platforms would be able to more quickly/reliably • Assess if they have AR Cloud-ready solutions • Explain the AR Cloud for Enterprise trend consistently (low hype) • Focus on segments and use cases most likely to benefit from AR Cloud • Enterprise AR managers would be better prepared • To evaluate (or defer) vendors/technologies, discuss options and plan • Discuss their use cases and requirements with potential AR Cloud providers

36. How would this research be conducted? Conduct classic market research with interviews and desk study Develop framework (define segments) and populate Enterprise AR Cloud vendor landscape Compile, based on primary and secondary research, examples and analyze patterns to develop current best practices/recommendations

37. Deliverables of this Project • A report compiling research findings and best practices/recommendations • A market segmentation and landscape (spreadsheet) populated with names and details of AR Cloud in Enterprise providers, products and services • Executive summary of findings for public release and a webinar

38. Benefits to AREA Members • Increased (terminology, concepts, etc) understanding about AR Cloud (where, when and how to use AR Cloud technologies) in enterprise • Ability to evaluate requirements and offerings • Customers can begin to design their future enterprise infrastructure, products and services strategically

39. 6 Secure Identity and Authentication Management for Shared Wearable AR Displays • Category: Analysis of Software and Hardware Issues https://youtu.be/aW0YK-aPbtw

40. Current Situation • There are more potential users of wearable AR in large enterprises than there are devices available to them • Some tasks require stereo (binocular) or holographic displays while others can use assisted-reality functionality • It is too costly and inappropriate to have multiple (or even one) dedicated AR devices for all employees • In addition, most operators on a shop floor or warehouse do not need to wear AR displays for their full shift but will only need the device to perform dangerous, delicate or urgent tasks.

41. Problem this Research Would Address • When providing multi-user AR displays in the workplace, there is not a keyboard or other input modes which can be used to enter an individual user’s credentials • This hampers secure identification and authentication of the user and delivery of their personalized work instructions to the device they are holding/wearing • There are no proven technology solutions available or best practices for addressing these obstacles

42. Possible Questions the Research Would Answer • What is currently available for user identification and authentication (sign-in/privacy/security) on multi-user AR display devices? • Which devices are most often designated as multi-user and why? • How and when do users get access to AR devices and how are the devices maintained between users? • What existing technologies can be adapted to the security needs of multi-user displays? • What are the new technologies that enterprise security departments may need to evaluate and manage as part of their wearable AR security suite in the future? • What are the requirements and opportunities for new products to address the needs of enterprise security on multi-user wearable AR displays?

43. Whose problem would be addressed? • Enterprise AR and security managers would be better prepared • To evaluate current vendors/technologies and benefit from the experience of other AREA members (and others in enterprise AR) • To implement secure identity and authentication for multi-user AR display in the workplace • Providers of enterprise wearable AR displays and enterprise AR software/platform companies would be able to • Through in-house development or by partnering with secure identity and authentication system providers, develop solutions or services that address security needs

44. How would this research be conducted? Interview experts who are currently coordinating security policy for wearable AR devices in enterprises and security software vendors Perform desk research and document what other industries (construction, engineering, healthcare) do for other multi-user tools Compile, based on primary and secondary research, examples and develop current best practices/recommendations and methods for testing secure identity and authentication for multi-user AR displays

45. Deliverables of this Project • A report compiling research findings and best practices/recommendations • An infographic with multiple scenarios and proposed sign-in based on best practices • Executive summary of findings for public release and a webinar

46. Benefits to AREA Members • An in-depth/best possible understanding the current status of secure identity and authentication systems for multi-user wearable AR displays •  Identification of product and service requirements (and gaps to be addressed) • Insights for how to best address these challenges now and in the future.

47. After this meeting… • Voting period begins • Voting information to be sent 22nd July • AREA sponsor members votes will count 4 points • Contributor and Non-Commercial/Academic members votes count 2 points • Members who contributed one or more research ideas for consideration can vote. Their vote will count 1 point towards the idea of their choice • Close of voting period is midnight (EST) Aug 10th

48. After voting… • Research Committee will review • Member participation levels • If there is a tie (two projects with equal number of votes) • Materials for public campaign to solicit proposals • Make recommendation to the Board of Directors • Board will have one week to vote

49. Project RFP • AREA will issue a public request for proposals (RFP) • Proposals will be accepted prior to Sep 16 • Research Committee will • Perform due diligence on proposals • Recommend to BoD to award the project to one bidder • Contract put in place to perform research for AREA

50. Timeline Recap