Managed AI: How To Avoid The Pitfalls of No-Code AI


There are lots of options today for "no code" AI development platforms. The premise is simple, yet enticing - anyone can develop AI models in record time, with little or no training, by automating 100% of the process. The truth, however, is that no-code AI is not as simple as it seems at first blush. Join dotData's VP of Data Science, Dr. Aaron Cheng to learn about the concept of "Managed AI" and how the powerful combination of education, professional services and a No-Code approach can help any organization become AI-driven in less than 90 days. During his presentation, Aaron will discuss dotData's approach to no-code AI, the challenges and rewards that come with AI development, and how dotData helped two organizations go from zero, to fully deployed AI models in less than 90 days - without hiring dedicated staff.


Aaron is currently the Vice President of Data Science and Solutions at dotData. As a data science practitioner with 14 years of research and industrial experience, he has held various leadership positions in spearheading new product development in the fields of data science and business intelligence. At dotData, Aaron leads the data science team in working directly with clients and solving their most challenging problems.

Prior to joining dotData, he was a Data Science Principle Manager with Accenture Digital, responsible for architecting data science solutions and delivering business values for the tech industry on the West Coast. He was instrumental in the strategic expansion of Accenture Digital’s footprint in the data science market in North America.

Aaron received his Ph.D. degree in Applied Physics from Northwestern University.

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