Greg has been developing and deploying enterprise data science models and applications for several decades. He has been building AI teams since 2010, as well as developed and deployed 10 Enterprise AI applications. Four of the startups he has worked at have exited. He has over 5 years of experience in the following verticals: retail supply chain, financial services, fraud detection and security, and Industrial Internet of Things (including manufacturing and oil and gas). Greg has been inviting Data Science speakers for SF Bay ACM since 2008, and has been a past chapter chair twice (https://www.meetup.com/sf-bay-acm/)
This panel will address some of the common misconceptions as well as best practices and resources that users can adopt to make their GenAI applications more scalable and reliable.