6 min read
August 25, 2022
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 —
Agenda:
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
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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.