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Wednesday, June 26 • 4:20pm - 4:55pm
Cloud Machine Learning Simplifies The Complex

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Cloud Machine Learning Simplifies The Complex

The vast majority of organizations today are in the earliest stages of AI initiatives and this shift will be dramatic as more enterprises move forward in the AI journey. Although companies are at different stages of this journey, most agree that finding or developing analytic talent is a key concern and bottleneck for doing more. What if your business could take advantage of the most advanced ML/AI models without the huge upfront time and investment inherent in building an internal ML/AI data scientist team?

In this presentation, I will introduce the pros and cons of three pathways: 1. Utilize prepackage ML APIs, 2. Customizable AutoML, 3. Training your your ML models specifically tailored to your business needs. To win with Cloud ML, you will need to know how to choose a right approach in a quicker time frame and without significant investment.


1. Understand what is Machine Learning
2. Identify what are the challenges on current ML process.
3. Know the pros and cons of three pathways for implementing ML: ML infrastructure Prepackge ML API AutoML
4. Learn from customers ML use cases.
5. Understand how are you going to adopt ML today by choosing the right tool.

avatar for Elliott Ning

Elliott Ning

Cloud Customer Advisor, Google
As the technical advisor of Google for customer cloud solutions, Elliott Ning is passionate about analyzing and solving key customers technological problems in machine learning, analytics and infrastructure to bring business opportunity into reality. Previously, Elliott worked with... Read More →

Wednesday June 26, 2019 4:20pm - 4:55pm PDT
05 AI | ML | DL | Artificial Intelligence Room 209