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It’s Time for Cognitive Computing

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Presentation on theme: "It’s Time for Cognitive Computing"— Presentation transcript:

1 It’s Time for Cognitive Computing
At Davos 2016, the World Economic Forum, the theme was “The Fourth Industrial Revolution, which is an attempt to frame the disruption happening everywhere today as part of a broader , larger paradigm shift, a study of disruption and its discontents.

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

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

4 Processing moves to the data
In previous computing eras we moved the data to the processing In the 4th Era processing moves to the data Processing IoT Device 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
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 Expert Systems Natural Language Processing
Virtual or Digital Assistants Recommender Systems Bots Vision Systems Speech Recognition Handwriting Recognition Gaming Robotics

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 Data Ingest API(s) Multi-dimensional filtering Crowd Sourcing, Video, Image, Audio Real time processing Pedestrian detection Car make / model License plates Traffic / road signs Model training 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 Industries will transform and merge
Most if not all industries will be affected Healthcare - opportunity to reinvent itself What are the Requirements? Connectivity with Things Computing at the Edge Streaming Analytics Distributed Processing Process Orchestration

15 Thank you


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