Causality & Azure AI Operations at Enterprise Scale
AgileThought, in partnership with Microsoft, created a unique AI-in-a-Day workshop. Causal AI is an emerging field that couples statistics, causality, and decision-making to identify optimal decisions towards a desired business outcome. The goal is to create change. To achieve this, we must drive to develop causally-driven AI capabilities that scale to the enterprise. Our hosts have presented an emerging means to achieve Causal AI that couples the Microsoft Azure AI ecosystem with a causal AI framework.
Viewers will notice the role that causality is playing in this workshop. This is not an accident nor just wordplay. Causal AI is an emerging field that couples statistics, causality, and decision-making to identify optimal decisions towards a desired business outcome. There is one author, Judea Pearl, and one specific book, The Book of Why, that would be worth glancing through before viewing this recording. Pearl’s perspectives on causality have enabled the attainment of the new Causal AI world.
To this end, we have structured this workshop along the following timeline of activities —
45 min — Causality & Azure AI Operations at Enterprise Scale
30 min — Demo: Breast Cancer Causality & ML, Going from Data to Causal to Predictive Outcomes
45 min — Causality Lab: Identifying Causal Drivers (the Why) of an Enterprise Business Problem
45 min — Lab (Auto ML): Develop a Digital Surrogate (Causal Prediction) Using Auto ML
40 min — Close: Optimize Prescription
About The Hosts
Dr. Jerry Smith is the Managing Director, Insights Group at AgileThought. In everything he does, he believes that unbridled intelligence can solve any problems faced by humankind. He strives to unleash us from the traditional human intelligence chains by making our systems smarter with artificial intelligence, more beautiful with design intelligence, and easier to use with behavioral intelligence. I just happen to be computer scientist with expertise in data science, machine learning, AI, and evolutionary computing.
Arni Steingrimsson is a Principal Data Scientist at AgileThought where he focuses on research and development of machine learning models. Arni started his education in engineering at Embry-Riddle Aeronautical University and holds a B.Sc and M.Sc degree in aerospace engineering. He has a minor in computer science and mathematics from the same university and holds several patents in wind energy and cancer research.