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

1. 紀尚豪
微軟前瞻合作事業部
平台架構經理

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

13. https://www.microsoft.com/en-us/aiforearth/farmbeats.aspx

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

29. ALGAE CRACKS RUST

32. Software
Company
Every company is an
AI Company

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