It seems as if there are multiple stories daily about the various ways AI is impacting organizations and people across the world. Whether it’s intelligent applications making data-driven recommendations to customers, or machine learning being used to detect potential health risks- it’s hard to be surprised these days. Cloud computing has been a fundamental force driving our ability to use data science and machine learning to solve for scenarios that were once believed only to be achievable in science fiction. But, what about scenarios in remote places with little to no connectivity and with devices that have limited processing power? What if we could infuse this intelligence not only into applications in the cloud, but also onto the devices themselves right where the action is? This talk introduces the concept of how the intelligent cloud and intelligent edge maintained as one computing fabric can extend the reach of AI.

4. Betterproducts
Deeperrelationships
Moreefficientops
Moreeffectiveemployees
Product telemetry
Operational data
Employee input
Customer signal

6. 400%
Increase in fan
profiles
30%
Increase in digital
revenue

7. Intelligent Cloud
Intelligent Edge

8. 68
50 GB per day
200 TB per game
1 PB per day
1.5 GB per day
150 GB per day
5 TB per day
By 2025
80 billion
connected devices

9. AI
Azure DatabricksSpark on
SQL Server 2019
Azure Machine
Learning

10. Connected vehicles Smart Irrigation Predictive maintenance

13. Daniel Jeavons

15. Our Opportunity