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It’s Time for Cognitive Computing

It’s Time for Cognitive Computing. The Cognitive Era Unleashes Two Digitization Waves. IoT + Analytics + Automation ( M achine L earning ). Mainframe. PC + Web. Cloud + Mobile. 2015. 1960. 1980. 2005. IT Era. People Centric Digitization. x86. Linux. Web. VMs. iPhone. Cloud.

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It’s Time for Cognitive Computing

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  1. It’s Time for Cognitive Computing

  2. The Cognitive Era Unleashes Two Digitization Waves IoT + Analytics + Automation (Machine Learning) Mainframe PC + Web Cloud + Mobile 2015 1960 1980 2005 IT Era People Centric Digitization x86 Linux Web VMs iPhone Cloud Containers Machine Centric Digitization Drivers of Innovation Enterprises Consumer Cognitive Computing Digitization (Data) & IoT (Machines)

  3. Three worlds are converging: IT, Human and Physical Worlds

  4. Processing moves to the data IoT Device In previous computing eras we moved the data to the processing In the 4th Era processing moves to the data Processing Data Processing

  5. What is cognitive computing? Cognitive computing systems learn and interact naturally with people to extend what either humans or machine could do on their own. They help people make better decisions by penetrating the complexity of Big Data.

  6. The Modern AI Hardware is Real – Ready Now Google TPU Facebook FAIR Intel Movidius NVIDIA GPUs

  7. Cognitive Computing Artificial Intelligence Machine Learning Deep Learning 1950s 1980s 2010

  8. What is cognitive computing? Software that combines the power of computing with brain-like intelligence to solve and even anticipate complex problems.

  9. Levels of Cognitive Computing Machine Learning Speech Recognition Bots Vision Weak AI Strong AI Degrees of Cognitive Computing Affected Computing NLP Deep Learning Handwriting Recognition

  10. Cognitive Use Cases

  11. Essential Technologies for Cognitive

  12. IT and OT Begin to Merge and the Modern Enterprise Shifts

  13. Cognitive Application Flow Raw data for analysis and training of the model Cloud Services Image tagging Multi-dimensional filtering Data Ingest API(s) Crowd Sourcing, Video, Image, Audio Real time processing Model training Pedestrian detection Car make / model License plates Traffic / road signs Pedestrian avoidance Car safety Real time road sign detection Collision avoidance Model propagation to the edge Edge Devices and Computing Cloud

  14. Future of Cognitive What are the Requirements? Computing at the Edge Connectivity with Things Distributed Processing Process Orchestration Streaming Analytics Industries will transform and merge Most if not all industries will be affected Healthcare - opportunity to reinvent itself

  15. Thank you Kerrie_holley@optum.com http://twitter.com/kerrieh

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