Ways Artificial Intelligence Can Improve Your Business with IBM Watson
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IBM offers powerful AI tools that can label actions in video data, automatically train models to detect specific actions, and deploy those models to identify actions in new video footage. These tools allow users to rapidly label actions, train custom models without coding, and deploy models to recognize important actions.
Ways Artificial Intelligence Can Improve Your Business with IBM Watson
- 1. 3 Ways Artificial Intelligence Can Improve Your Business with IBM Watson Powerful Tools to make AI easy! Travis Siegfried AI & Vision Solution Architect tsieg@us.ibm.com T: @tsieg Markus Van Kempen Corporate Strategy & Venture Capitalist mvk@ca.ibm.com T: @markusvankempen
- 2. IBM’s statements regarding its plans, directions and intent are subject to change or withdrawal at IBM’s sole discretion. Information regarding potential future features & products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future features & products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future features & products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at IBM’s sole discretion. Disclaimer 2
- 3. • Create ML Model in Python • Watson Studio • Predictive Maintenance • Visualization 11/6/19World of Watson 20163 Agenda This Photo by Unknown Author is licensed under CC BY-ND This Photo by Unknown Author is licensed under CC BY-SA
- 4. • Introductions – Who WE are • Story: AI @ IBM • Customer Loyalty & Journey • Fantasy Football / ESPN • Powerful Tools: AI Vision, Video Analytics • Demonstration 11/6/19World of Watson 20164 Agenda
- 5. 11/6/19World of Watson 20165 How WE got here!
- 6. The 3 Common Challenges for Entertainment
- 7. 7 You Are the Content A Business of Many Businesses Millions of players, Few Customers The 3 Common Challenges Maintaining quality player engagement and player experience can be difficult
- 8. 8 The 3 Common Challenges Millions of players, Few Customers Frequent Connected Consumer Nurture & Convert Active Relationship Occasional Inspire Acquire Engage Passive Relationship Uninterested Consumer Unconnected or Unidentified Consumer Connected Consumer Invested Buyer Loyal Customer Extremely Loyal Customer Connected Customer Connected Customer Connected Customer Cross-Sell / Up-Sell 1-3 years 3+ years Retain High Value
- 9. 9 The 3 Common Challenges Consolidating Data, Analyzing it and Deriving Insights Growing amount of Structured & Unstructured Data around Player like Time, Location, Relationship, spent... Lack of Analytical Models to Connect Player Disconnect Between Data,Analytics and Meaningful Insights
- 10. 10 Player-Centric Objectives 3 Strategic Objectives Single View of the player Create a single view of the Sports Enterprise Ecosystem players and customers thru a fully-integrated technology platform built on 3 layers: Infrastructure, Data Management, and Delivered Experiences Deliver Personalized Experiences Deliver Personalized player Engagement and Experiences for individual players and customers Turn players into Customers Turn individual Sports Enterprise Ecosystem players into extremely loyal customers
- 11. Start of the day Routed to avoid traffic directly to parking spot Before the game During the game After the game Help players find friends & family Suggests player’s next move with seat upgrade Deliver concessions to the seat Avoid the rush to key amenities Display user generated content on scoreboard Suggests hall of fame tour after the game Real-time player statistics distribution Builds and reinforces loyalty with rewards Father Son How it all Comes Together A game day view of a Personalized Player Experience Social Media
- 12. 12 Parking space identification based on seat assignment Retail enhancement via location & trends Weather Data triggers to target advertisement Excitement Detection Refreshments Line Length 91% 9% Empty Spaces Full Spaces
- 13. Venue App 11/6/19World of Watson 2016Page 13 Mercedes Benz Stadium- embedded Video
- 14. Centralize Interpret Visualize Distribute AI Example At Work Centralize, Interpret, Visualize, and Distribute 14
- 15. ESPN+IBM 15
- 16. 11/6/19World of Watson 201616 ESPN Video - link
- 17. 17 Group Name / DOC ID / Month XX, 2017 / © 2017 IBM Corporation
- 18. 18
- 19. AI tools for powerful insights 19
- 20. 20 Powerful Tools: Auto-AI for Images & Video Label Image or Video Data Auto-Train AI Model Package & Deploy AI Model Point and Click
- 21. Analytics in Sports 21 © Copyright IBM Corporation 2018
- 22. Formula 1 Analytics in Sports Video 22 © Copyright IBM Corporation 2018
- 23. Key Takeaways üAI is here today and driving business value for customers üIBM is working in an open way across the ecosystem to enable end-end AI solution delivery üIBM powerful tools and products and enable you do business more efficiently
- 24. • Commoditized • Precision • Biased • Environment specific • Data Transformation • Labor Intensive 11/6/19World of Watson 2016Page 24 Lesson’s Learned
- 25. • More data will be available Ø eg. PLCs, slot machines, digital concierge, coffee machines and social media • Hybrid Approach Ø eg. old systems w/ new • Digital Humans • Machine to Machine Collaboration • AI at the Edge 11/6/19World of Watson 201625 Outlook to the future
- 26. Questions? 26
- 27. Thank You
- 28. Thank you! 28 Travis Siegfried AI & Vision Solution Architect tsieg@us.ibm.com T: @tsieg Markus Van Kempen Corporate Strategy & Venture Capitalist mvk@ca.ibm.com T: @markusvankempen
- 29. Advancing AI – Powerful Toolset Powering advances in perception, reasoning and understanding to help AI address complex human-like tasks. Scaling AI – Hardware Machines Pursuing technologies across the full computing stack that make AI faster, easier, and able to scale to larger and more complex problems. Trusting AI – Blockchain & 109 Years in Business Instrumenting key dimensions of trust to enable AI solutions that inspire confidence. 11/6/19World of Watson 201629
- 30. Action Recognition 30 – Ability to rapidly label actions – Train and deploy models to detect actions I need to capture specific actions in the video.