Data Science for Decision Professionals
The past few years have seen broad cross-industry adoption of data-driven decision making. Big data, artificial intelligence, and data science have taken center stage. This webinar provides decision professionals with an introductory understanding of the data science philosophy and an overview of how to integrate data focused techniques into decision models and processes. Build the bridge to data science in your organization to improve decisions.
You will learn:
- The most important thing a decision professional should understand about data science
- How data scientists think about data, models, and visualization
- Best practices for involving data scientists in decision projects
- Where to go to learn more
Alejandro Martinez, a data scientist, has 10+ years of experience in operations and manufacturing. From early in his career he has been using analytic techniques to improve business results and achieve operational excellence. He has a Stanford PhD in decision analysis under Prof. Ron Howard; his research focused on which decision problems can be automated and developed a mathematical simplification that reduces the complexity of preference elicitation. He is the co-founder and CEO of MatrixDS, a company that lowers the bar to entry for people and companies into data science.
Carl Spetzler, a decision professional, has 40+ years of experience helping top management create innovative new strategies that deal with the complexities of uncertainty and risk over long time horizons. The author of Decision Quality: Value Creation from Better Business Decisions, he frequently leads senior executive retreats, briefings, and courses on decision making and risk management. His widely recognized for his contributions to the fields of decision science and decision quality. He is the CEO of management consulting firm Strategic Decisions Group.
Original Webinar Date: September 16, 2019