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Michael Chi
Michael Chi

Gave a talk at AI in Agriculture International Symposium and Joint Results Presentation around Microsoft's view on Cloud, Data and AI

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Computers that one day could see, hear, talk and understand human beings.
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Cognitive ML Assigning human-like qualities to digital experiences Perceives its environment Mimics cognitive functions Learns from example in volumes of data Program that writes itself based on examples Classifies, recommends, predicts, groups, segments Weak AI Separate cognitive functions, seeing, natural language, vision Strong AI Combining weak AI with a consciousness or mind What is AI?
AI must maximize efficiencies without destroying the dignity of people1 AI must guard against bias2 AI needs accountability so humans can undo unintended harm3 AI must be transparent4 AI must be designed for intelligent privacy5 AI must be designed to assist humanity6
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Good
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https://www.microsoft.com/en-us/aiforearth/farmbeats.aspx
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95% Customer interactions powered by AI bots including telephone and online by 2025 Digital Agents Engage customers Build a loyal customer base with a 24/7 customer-centric approach to your business Empower employees Increase employee productivity and allow for focus on innovation by freeing up time through automation
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Intelligent apps 75% Applications including AI By 2018, 75% of apps will include some form of AI App innovation Infuse AI into existing apps to improved user experience Knowledge extraction Backend-infused applications will leverage latent value in content
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Transform you business processes 85% Enterprises embracing AI By 2020, 85% of Enterprises will be using AI on at least one process Financial Services Risk Analytics Fraud Prevention Customer Next Best Action Retail Personalization Dynamic pricing Advanced retail planning Manufacturing Predictive Maintenance Operations Automation Fleets management
Challenge ? Traditional power line inspection services are costly ? Demand for low cost image scoring and support for multiple concurrent customers ? Needed powerful AI to execute on a drone solution Solution ? Deep learning to analyze multiple streaming data feeds ? Azure GPUs support Single Shot multibox detectors ? Reliable, consistent, and highly elastic scalability with Azure Batch Shipyard Drone-based electric grid inspector powered by deep learning
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ALGAE CRACKS RUST
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Software Company Every company is an AI Company
Start
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The Microsoft AI platform Services Infrastructure
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Thank YOU Michael SH Chi | Commercial Software Engineering Please check out Data and AI and IoT resources at https://github.com/Azure/data-ai-iot

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  • 2. Computers that one day could see, hear, talk and understand human beings.
  • 5. Cognitive ML Assigning human-like qualities to digital experiences Perceives its environment Mimics cognitive functions Learns from example in volumes of data Program that writes itself based on examples Classifies, recommends, predicts, groups, segments Weak AI Separate cognitive functions, seeing, natural language, vision Strong AI Combining weak AI with a consciousness or mind What is AI?
  • 6. AI must maximize efficiencies without destroying the dignity of people1 AI must guard against bias2 AI needs accountability so humans can undo unintended harm3 AI must be transparent4 AI must be designed for intelligent privacy5 AI must be designed to assist humanity6
  • 10. Good
  • 11. Good
  • 17. 95% Customer interactions powered by AI bots including telephone and online by 2025 Digital Agents Engage customers Build a loyal customer base with a 24/7 customer-centric approach to your business Empower employees Increase employee productivity and allow for focus on innovation by freeing up time through automation
  • 21. Intelligent apps 75% Applications including AI By 2018, 75% of apps will include some form of AI App innovation Infuse AI into existing apps to improved user experience Knowledge extraction Backend-infused applications will leverage latent value in content
  • 26. Transform you business processes 85% Enterprises embracing AI By 2020, 85% of Enterprises will be using AI on at least one process Financial Services Risk Analytics Fraud Prevention Customer Next Best Action Retail Personalization Dynamic pricing Advanced retail planning Manufacturing Predictive Maintenance Operations Automation Fleets management
  • 27. Challenge ? Traditional power line inspection services are costly ? Demand for low cost image scoring and support for multiple concurrent customers ? Needed powerful AI to execute on a drone solution Solution ? Deep learning to analyze multiple streaming data feeds ? Azure GPUs support Single Shot multibox detectors ? Reliable, consistent, and highly elastic scalability with Azure Batch Shipyard Drone-based electric grid inspector powered by deep learning
  • 33. Start
  • 35. The Microsoft AI platform Services Infrastructure
  • 37. Thank YOU Michael SH Chi | Commercial Software Engineering Please check out Data and AI and IoT resources at https://github.com/Azure/data-ai-iot