DAMA Session September 26, 2024 – Data Management and AI/ML Part 2
Location: ASU SkySong and online 1365 N. Scottsdale Rd. SkySong Building 1, Room 201 Scottsdale, AZ Webex details will be sent the night before the session to registrants. |
Date: Thursday; September 26, 2024
8:30am – 9:00am | meet & greet and light breakfast |
|
Register Now!
|
SESSION SUMMARY
This session will build upon last year’s session of this topic, to help data management professionals more deeply understand AI/ML to understand how AI/ML can be leverage to achieve real business benefits (i.e., real-world business use cases), how AI/ML can benefit from a solid data architecture and data management practices in place, and how AI can be leveraged to support data management. We will have a speaker who will also chair a panel discussion where local DAMA members can present on how they are using AI/ML in their organizations.
SPEAKER BIO
Anindita Mahapatra is a Solutions Architect focused on the data and analytics space. She has over 20 years of experience in software development, consulting, and client-facing roles helping organizations make the most of their data investments. She’s also the author of the book Simplifying Data Engineering and Analytics with Delta: Create analytics-ready data that fuels artificial intelligence and business intelligence. She has a Masters degree in Computer Science from Boston University, a Masters degree in Liberal Arts and Management from Harvard Extension School, and has co-authored 2 patents. Also, she teaches a graduate course on Data Engineering at the Harvard Extension School.
Keith Schleicher is a Commercial Analytics Lead and Head of Data Science at Zoetis. He has been leading data science and predictive analytics efforts for the past 30 years. He started his career at Capital One, helping them build their data driven strategy in the credit card sector before moving into roles in Risk Management and Model Governance. He then spent close to a decade as a consulting leader across multiple industries while working for Cognilytics and Centurylink. He is currently leading Al and ML initiatives for the world’s largest animal health company (Zoetis) with an emphasis on applications to sales, marketing, customer experience, sustainability, finance, and HR. His current projects involve international expansion of a B2B sales recommendation tool and evaluation of applications of GenerativeAl in high value use cases. Keith is also a part-time statistics instructor, primarily via on-line classes. He lives in Richmond, VA.