IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
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The document discusses IoT predictions and strategies for 2019 and beyond, emphasizing the importance of placing data at the core of IoT initiatives. It highlights the varying adoption rates of IoT across enterprises and small businesses, as well as the projected growth of specific IoT market segments. Key trends include the rise of data marketplaces, the integration of IoT with blockchain, and the evolution of data analytics capabilities focusing on real-time data utilization.
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IoT Predictions for 2019 and Beyond: Data at the Heart of Your IoT Strategy
- 1. 1 © Hortonworks Inc. 2011–2018. All rights reserved IoT Predictions for 2019 & Beyond Data at the heart of your IoT Strategy Guest speaker: Dr. Paul Miller, Senior Analyst, Forrester, @PaulMiller Dinesh Chandrasekhar, Director of Product Marketing, Hortonworks, @AppInt4All
- 2. © 2018 FORRESTER. REPRODUCTION PROHIBITED. Put Data at the Heart of Your IoT Strategy Paul Miller, Senior Analyst @PaulMiller
- 3. 3© 2018 FORRESTER. REPRODUCTION PROHIBITED. “Any colour you want . . . ”
- 4. 4© 2018 FORRESTER. REPRODUCTION PROHIBITED. Of 500,000 units rolling off the production line, only two are identical . . .
- 5. 5© 2018 FORRESTER. REPRODUCTION PROHIBITED. Internet of things (IoT) connects physical to digital › Find data about the state of existing tools and systems in the real world. • Not a new idea but getting richer › Control existing real-world tools and systems using software. • Not a new idea but getting richer › Link the state of those tools and plants more closely to business priorities and requirements. • Predictive maintenance, lot size of one, augmented reality, cobots, and more • Bridge the IT/OT divide. (If there’s enough vision and mandate!)
- 6. 6© 2018 FORRESTER. REPRODUCTION PROHIBITED. Enterprises lead SMBs in IoT adoption Base: 3,385 global telecommunications decision makers (20+ employees); *1,791 global telecommunications decision makers (1,000+ employees); and †1,594 global telecommunications decision makers (20 to 999 employees) (Percentages have been rounded up.); Source: Forrester Analytics Global Business Technographics® Networks And Telecommunications Survey, 2018 38% 43% 32% 27% 27% 28% Overall Enterprise* Small- and medium-sized business (SMBs)† “What are your firm’s plans to adopt internet-of-things (IoT) solutions or applications?” Implementing/expanding Planning 70% 65% 60% Interested Total 27% 31% 36% 96% 97% 96% ꓿ ꓿ ꓿ --------------------------- ---------------------------------------------------------------------------------------
- 7. 7© 2018 FORRESTER. REPRODUCTION PROHIBITED. Industrial IoT deployment plans Base: 51 to 226 global telecommunications decision makers (20+ employees) (Percentages have been rounded up.); Source: Forrester Analytics Global Business Technographics® Networks And Telecommunications Survey, 2018 55% 47% 45% 37% 37% 35% 28% 21% 22% 31% 33% 28% 33% 30% Construction and engineering Oil and gas Industrial products Pharmaceuticals and medical equipment Utilities Chemicals Transportation Implementing/expanding Planning “What are your firm’s plans to adopt internet-of-things (IoT) solutions or applications?”
- 8. 8© 2018 FORRESTER. REPRODUCTION PROHIBITED. IoT underpins three core scenarios Source: From Grease To Code: Industrial Giants Bet Their Future On Software Forrester report
- 9. 9© 2018 FORRESTER. REPRODUCTION PROHIBITED. IoT addresses a range of use cases... Some apply to most industries... Source: Internet Of Things Heat Map 2018 Forrester report
- 10. 10© 2018 FORRESTER. REPRODUCTION PROHIBITED. IoT addresses a range of use cases... Others target specific verticals. Source: Internet Of Things Heat Map 2018 Forrester report
- 11. 11© 2018 FORRESTER. REPRODUCTION PROHIBITED. Some segments will grow faster than others Inventory/ Supply Chain is the biggest single category, worth $44bn in 2018 and $113bn by 2022. Source: Forrester Analytics: Internet-Of-Things Spending Forecast, 2017 To 2023 (Global) Forrester report
- 12. 12© 2018 FORRESTER. REPRODUCTION PROHIBITED. A modern train can contain 3,500 IoT sensors Complexity: # of sensors & devices One Many Digital pedometer Bathroom health analyzer Elevator Lawn mower Powerline inspection drone Wind turbine Agricultural harvester Car Cruise ship Office building
- 13. 13© 2018 FORRESTER. REPRODUCTION PROHIBITED. The Edges must be part of your IoT planning Source: Forrester Research, Inc. Unauthorized reproduction, citation, or distribution prohibited.144361 Stateful edgeSensing edge Autonomous edge Actuating edge Source: Make Room For The Autonomous Edge In Your IoT Strategy Forrester Report
- 14. 14© 2018 FORRESTER. REPRODUCTION PROHIBITED. Industrial IoT delivers value, using data in three ways Source: Put Data To Work In The Industrial Internet Of Things Forrester report
- 15. 15© 2018 FORRESTER. REPRODUCTION PROHIBITED. Phase 1: Asset monitoring Phase 2: Prediction Phase 3: New business models
- 16. 16© 2018 FORRESTER. REPRODUCTION PROHIBITED. [design, operate?] IoT tracks ingredients and environment, to prove compliance or accelerate recall
- 17. 17© 2018 FORRESTER. REPRODUCTION PROHIBITED. Phase 1: Asset monitoring Phase 2: Prediction Phase 3: New business models
- 18. 18© 2018 FORRESTER. REPRODUCTION PROHIBITED. [design, operate]
- 19. 19© 2016 Forrester Research, Inc. Reproduction Prohibited Beyond the Arctic Circle, predictions matter. [design, operate, consume]
- 20. 20© 2018 FORRESTER. REPRODUCTION PROHIBITED. There are different drivers behind connectivity... Source: IoT Brings Firms With Remote Assets Closer To Their Customers Forrester report
- 21. 21© 2018 FORRESTER. REPRODUCTION PROHIBITED. Phase 1: Asset monitoring Phase 2: Prediction Phase 3: New business models
- 22. 22© 2016 Forrester Research, Inc. Reproduction Prohibited Miles flown-as-a-service [design, operate, consume]
- 23. 23© 2016 Forrester Research, Inc. Reproduction Prohibited Train-as-a-service [design, operate, consume]
- 24. 24© 2018 FORRESTER. REPRODUCTION PROHIBITED. There are different drivers behind connectivity... Source: IoT Transforms A 200-Year-Old Industry Forrester report
- 25. 25© 2018 FORRESTER. REPRODUCTION PROHIBITED. Wave learnings › The public cloud is increasingly the place to be. • Industrial players move away from their own data centers, but edge remains a critical piece of the mix. › Analytics is a core component of the platform solution. • It is no longer “an emerging category” or an edge case. › The digital twin has arrived, and augmented reality will follow. • It is much more than just a pretty visualization of your machines. › Platform vendors are shifting from building blocks to finished results. • Customers need apps, not components, and vendors are moving to deliver. Source: Paul Miller, “Industrial IoT Software Platforms Rise Above Just Connecting Things,” Forrester Blogs, August 9, 2018 (https://go.forrester.com/blogs/industrial-iot- software-platforms-wave/)
- 26. 26 © Hortonworks Inc. 2011–2018. All rights reserved Delivering value at the edge How Hortonworks enables IoT Dinesh Chandrasekhar Director, Product Marketing @AppInt4All
- 27. 27 © Hortonworks Inc. 2011–2018. All rights reserved IoT Market Segments and Use Cases Public Sector Transportation Utilities Healthcare Manufacturing Retail Predictive Analytics Insurance Driver Rating Asset Management Smart Cities Predictive Maintenance Utility Monitoring Edge Data Collection Inventory / Material Tracking Fleet Management Connected Cars Patient Monitoring
- 28. 28 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. Key data challenges with IoT Volume Velocity Variety Security Governance
- 29. 29 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. Data decay and the need for real-time data value ENTERPRISE TRANSACTION SOURCES ERP, MES, SCM, WMS, TMS, ETC. ENTERPRISE DATA LAKE 6 REAL-TIME ACTIONABLE INTELLIGENCE ACT 1 I N G E S T 1 INGEST 2 STORE 3 PROCESS 4 •Data Discovery •Business Intelligence ANALYZE MONITOR 5 Deploy 4 LEARN •Develop Models •Machine Learning Model Inputs • Historic click-streams, POS data • Historic inventory locations/levels • Historic Weather • Historic order histories, inventory locations and levels • Historic disruptions REAL-TIME DATA SOURCES Connected Supply Chain RFIDSocial WEB POS GPS
- 30. 30 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. “Your IoT implementation is only as good as your ability to acquire and analyze the real-time data generated by your IoT devices”
- 31. 31 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. Hortonworks enables IoT
- 32. 32 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information.
- 33. 33 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. “IoT is always an ecosystem play”
- 34. 34 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. IoT Reference Architecture
- 35. 35 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. “A data-driven IoT implementation takes advantage of the meaningful insights from the IoT data and uses those insights as actionable intelligence for making the right business decisions, at the right time.”
- 36. 36 © Hortonworks Inc. 2011–2018. All rights reserved Managing the Edge Deployment Agent management Defining classes of devices OTA updates Edge intelligence Edge Management
- 37. 37 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. Improving Healthcare with SMART data Combine multi-format data streams, with hundreds of sources, into one platform • Needed a platform that could combine multi-format data streaming • Data scarcity & latency problems • Machine learning & data science • First to deliver SMART real-time streaming data • Clearsense’s Inception™ product enables fast decisions for clinicians • Customers have access to all data sources with HDP & HDF Cloud-based systems architected to deliver SMART data, using HDP and HDF • Mission critical data is now available for doctors to make critical decisions • Cost efficiencies led to access for 2,000 rural providers • Real-time data helps prevent “Code Blue” Mission-critical data and relevant insight for 2,000 rural providers R E S U L TS O L U T I O NC H A L L E N G E Photo by rawpixel on Unsplash
- 38. 38 © Hortonworks Inc. 2011–2018. All rights reserved Trends to watch out for in 2019 • Retail and robotics • Autonomous cars • Smart Cities Vertical-specific growth • Data provenance and lineage tracking • Farm-to-table • Product recalls Convergence of IoT and Blockchain • Hyper-growth in data production • Data monetization • IoT stream as a service Rise of data marketplaces
- 39. 39 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Paul Miller +44 7769 740083 [email protected] Twitter: @PaulMiller Dinesh Chandrasekhar @AppInt4All Thank you!
- 40. 40 © Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. Questions