Nan Li
Vice President, AI/ML & Statistical Practice
Nationwide
Keynote Speaker
Optimizing Your Data Science Teams
We want to make the most from our analytics and data science teams, tools, platforms, systems, and practices. Join me as I discuss my experiences in extracting the highest possible value from analytics resources. Learn tips and tricks for developing, operationalizing, and maturing your analytics teams for high performance.
Dinakar Deshmukh
VP Data Sciences & Analytics
GE Aviation
Promoting Innovation Among Data Scientists
How do you keep your data scientists engaged, curious, continuously learning and creating great work? Join me in this discussion about ways to promote and stimulate innovation among your data scientists to continuously advance and keep progress moving forward.
Greg Zerr, CAP, PMP
Leader, Data Analytics & Strategy
Marathon Petroleum
The Secret Sauce of Data Science Teams
The secret sauce of data science teams isn’t just about having the right algorithms and tools – it’s about bringing together the right mix of people, ideas, and practices. Whether you’re a data scientist, team leader, or business executive, this talk will provide valuable insights into how to unlock the full potential of your data science team and achieve breakthrough results.
Sandy Steiger
Sr Director, Advanced Analytics & Automation
TQL
Developing and Enhancing Characteristics of Excellent Analytics Professionals
What are the characteristics and attributes of great analytics professionals? Learn how quantitative, more technical skills blend with other character-based and soft skills to form a recipe leading to excellence in analytics professionals.
Chandra DiGregorio
VP, Data Science
84.51°
John Georgeson
VP, Data Science
Concentrix
Damon Ragusa
Chief Data & Technology Officer
PatientPoint
Jason Tang
Sr. Manager, Predictive Analytics
CoverMyMeds
Panel Discussion: The Future of Data Science Talent
As we approach the next era of data science, the needs from data scientists will likely continue to evolve. Hear perspectives from these expert analytics leaders about the changing role of data science professionals, and what we might expect for the future. Possible paths include a deepening in technical capability, more qualitative capabilities around language and natural querying, the evolution to more artisan in nature or intensified creativity, and other ways we potentially anticipate the enhanced technology to stimulate a human-machine collaborative working relationship.