Speaker "Elliott Ning" Details Back



Different Ways Of Thinking AI


Maintaining a data platform is not easy and Implementing AI is even more challenging for many companies. With understanding the business needs and criteria with existing innovative paths of AI journey, business can think differently and take advantage of the most advanced technology including AI components, platform and solutions, without huge upfront time and investment.
Who is this presentation for?
CIO, CTO, Architect, Data Scientist, Developer
Prerequisite knowledge:
Entry level AI components
What you'll learn?
1. Define what makes a good AI use case 2. Introduce AI Components: GPUs, Kubeflow, Managed ML Platform: Auto ML, APIs Solutions: collection of tools for specific industry 3. Identify an innovative end to end data pipeline 4. Discuss how are you going to adopt AI today by choosing the right tool


An experienced advisor of Google for enterprise cloud solutions, passionate about analyzing and solving key technological problems in machine learning, data analytics and infrastructure to bring business opportunity into reality. Previously worked with top tier organizations by developing solutions and strategies on cloud and data center transformation. Holds Master of Software Engineering and Master of Manufacturing Management degrees from universities in the US and UK.