6 min read
August 25, 2022
Accelerate: Digital Velocity Summit | Session #1
From predicting cancer-causing mutations to uncovering unforeseen customer insights, causal AI is an emerging field that couples statistics, causality, and decision-making to identify optimal decisions towards a desired outcome. The goal is to create change. To achieve this, we must drive to develop causally-driven AI capabilities that scale to the enterprise.
Session Highlights
Adapting to Fast-Moving Data
Strategies to Manipulate Causal Data
Uncovering Causality and the Importance of Data
Strategies to Manipulate Causal Data
00:00
Dan Neumann
Dan Neuman is the Director of the US Transformation and Coaching practice in the Agility guild. He coaches organizations to transform the way they work to achieve their desired business outcomes.
With more than 25 years of experience, Dan Neumann is an experienced Agile Coach with a deep knowledge of Agility at the team and organizational levels. He focuses on achieving business outcomes by shifting both mindset and practices, resulting in a disciplined, yet practical approach to solving problems.
Eric Landes
Dr. Jerry Smith
Dr. Smith is a practicing AI & Data Scientist, Thought Leader, Innovator, Speaker, Author, and Philanthropist dedicated to advancing and transforming businesses through evolutionary computing, enterprise AI and data sciences, machine learning, and causal AI.
He’s presented at Gartner Conferences, CIO, SalesForce, DreamForce, and the World Pharma Congress, and is often who leaders turn to for help with developing practical methods for unifying insights and data to solve real problems facing today’s businesses.