Ask a Data Scientist – Perspectives on Enterprise Data Science

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When:  Feb 3, 2021 from 10:00 AM to 10:30 AM (ET)

Overview

Title: Ask a Data Scientist - Perspectives on Enterprise Data Science

Date: Wednesday, February 03, 2021

Time: 10:00 AM Eastern Standard Time

Duration: 30 minutes

Summary

Businesses are transforming to unlock the full disruptive potential of AI. Data Science has moved past the preserver of academic research. Business is now operationalizing AI in the enterprise across industries. Join us for a conversation with Data Science industry leaders to gain insight on how Enterprise Data Science can help businesses augment problem-solving work in their organizations, drive greater productivity and efficiency. Note: “Special Offer” for session attendees.

Speakers

Dr. Pam Askar
Dr. Pam Askar
Director of Data Science
Ironside

Pam has been with Ironside since 2015, delivering sophisticated advanced analytics solutions. She now leads a team of data scientists with deep expertise across industries and platforms. Pam also works closely with the Advisory team at Ironside to deliver AI-centric roadmaps and use case discovery projects to ensure success of our clients in their path toward AI adoption. Pam has also provide mentoring and training to clients in specific technologies and data science best practices.

Pam's background is in teaching and academic research. She received a PhD in Developmental Psychology from the University of Connecticut where she taught Statistics, Research Methodology and Psychometric courses. She transitioned to consulting at IQVIA where she delivered advanced analytics in market research to pharmaceutical clients.

John Thomas
John Thomas
Distinguished Engineer and Chief Data Scientist, IBM Data and AI, IBM Cloud and Cognitive Software
IBM

John J. Thomas is a Distinguished Engineer in IBM’s Data & AI business. He leads advisory services that help clients with Trusted AI, MLOps, and different stages of the end-to-end AI lifecycle. He previously led IBM’s Data Science Elite team that helps clients get started on their AI initiatives. A lifelong learner, John has 25+ years of experience in enterprise architecture, worldwide client success and leading high-performance teams.



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