This was the presentation deck from a webcast by Exadel's VP of Software, Jonathan Fries, discussing the competing cloud-based AI products from Amazon, Google, and Microsoft. He also covered how to get the most out cloud-based AI and read the tea leaves to see what might be next.

1. Exadel Webcast Series
June 28, 2018

2. AI in the Cloud
Webcast Series
Jonathan Fries / Vice President Engineering

3. Today’s Presentation…
• Scheduled to run approximately 20 minutes
• There will be a Q&A for 5-10 minutes
• You can offer questions at any time by typing them in the Gotowebinar panel
on your right
• You can also send us a message in the chat panel
• This webinar is being recorded – every registrant will receive a link to the
recording in a follow-up email
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4. Agenda
What is AI?
AI Solutions at a glance – who, what and why?
• Amazon
• Google
• Microsoft
Cost of AI Solutions
Competition and Advantages
What can you do with AI?
• Enterprise Applications
• Opportunities
Selecting the best platform
What’s Next for AI?
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5. What is AI?
• Major cloud providers have product offerings that include AI centric
solutions, such as Conversational UI, Speech Recognition, Chat Bots
• Presentation will focus on ML because it is a powerful tool with significant
implications for Enterprise Software
• “AI is whatever hasn’t been done yet”
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6. AI at a Glance
AI Solutions at a glance – who, what and why?
Amazon
• SageMaker
• Amazon ML
Google
• Google Cloud Auto ML
• Google Cloud Machine Learning
Microsoft
• Azure Machine Learning Studio
• Azure Machine Learning Services
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7. Cost of AI Solutions
Azure
• Experimentation Pricing - Per Developer - $50/seat (first two seats free)
• Tier pricing for managed models and CPUs
Google Cloud
• Charged for time spent training models
• Charged for time with models in an online state and making predictions based on
trained models
Amazon
• SageMaker – easy entry for developers – priced based on use of underlying instances
for modeling and prediction.
• Amazon ML – priced based on use of underlying instances for modeling and
prediction.
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8. Competition and Advantages
Amazon
• SageMaker is a powerful and removes obstacles that may make it hard for developers
to get started, great documentation.
Microsoft
• Azure Machine Learning Studio has a significant breadth of algorithms available.
• Easy and powerful UI with built-in tutorials
Google
• AutoML – currently in Alpha, has image recognition/classification as a primary focus
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9. Platforms
Criteria for Selecting the Best Platforms
• Look at current technology investment
• What skills do you have in-house?
• Who will drive adoption forward?
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10. AI Applications
What can you do with AI?
Enterprise Applications
• Enterprise applications often generate large amounts of data
• ML on this data can be used to improve the application or build new features that
might not have been considered
• Data may also be used to drive other decisions in the enterprise Opportunities
• Anyone with data should be looking for opportunities
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11. What’s Next for AI?
• Incorporation in more tools and platforms
• Increased adoption as skills and use improve
• More value placed on data for skilled use with ML
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12. Q/A
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Submit Your Questions

13. Thank You!
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Jonathan Fries / Vice President Engineering
jfries@exadel.com

14. Exadel Webcast Series
June 28, 2018