Decision Intelligence Confronts A.I.
Decision Making is a complex human process. AI seems to be taking over the world, but does it make a real contribution? On November 10th, we came together to discuss ways to move the ball on how AI, Data Science and Machine Learning can really contribute to making Decisions more Intelligent.
"Decision Intelligence" brings together the data-driven analytics of Data Science within the larger context of decision modeling...to bring maturity to the practice of Data Science and extend the data driven reach of Decision Analysis.
HERE'S WHAT WE LEARNED ABOUT IN OUR 1 DAY ONLINE EVENT:
•About
Decision Science
•About
AI / ML / Data Science
•Cases
that show progress
•Methods
in the middle
ALIGNMENT & VISION (click here for slides) (click here for chat)
THE FUNDAMENTALS- INTERDISCIPLINARY ALIGNMENT•Themes for Decision/Data/Computing Analytics Integration | EYAS RADDAD (click here for slides)
•Basics of Machine Learning & Artificial Intelligence | JOHN MOUNT (click here for slides)
•Basics of Decision Quality & Decision Professionals | DAVID MATHESON (click here for slides)
KEYNOTE SPEAKER| Steve Flinn | The Value Alignment Problem: Where Value-Driven Initiatives Begin (click here for slides)
Defining the Problem | AM Breakout session by chosen Theme
- Integration of Best Methods (click here for chat)
- A Common Vocabulary (due to low interest, we skipped this breakout room)
- Humans at the Center (click here for chat)
- The Business of Decision Intelligence (click here for chat)
- Integrating Predictive and Value Modeling (click here for chat)
KEYNOTE SPEAKER| Somik Raha | Product Decision Intelligence Members Only Access
CASE STUDIES
- Case Study 1 | Fadi Micaelian, Sparkdit Haoda Fu, Eli Lilly & Company (COMING SOON)
Title: Augmenting AI with Decision Intelligence to Accelerate Business In Unfathomable Ways
- Case Study 2 | Haoda Fu, Eli Lilly & Company
Title: Revolutionizing Analytic Thinking in the Era of AI/ML (COMING SOON)
METHODOLOGIES
- Methodology 1 - Robert Horton, Win-Vector Labs
Title: Utility in ROC Space: Using economic utility to set a threshold for a machine learning classifier. (click here for slides)
- Methodology 2 - Robert Weant, Hubbard Research
Title: Can a Generative AI Replace a Decision Analyst (click here for slides)
- Methodology 3 - John Mark Agosta, San Jose State University
Title: Influence Diagrams, A Universal Decision Modeling Tool (click here for slides)
Solutions and Path Forward | PM Breakout session by chosen Theme
- Integration of Best Methods (click here for chat)
- A Common Vocabulary (due to low interest, we skipped this breakout room)
- Humans at the Center (click here for chat)
- The Business of Decision Intelligence (click here for chat)
- Integrating Predictive and Value Modeling (click here for chat)
