Actionable Strategies for Mitigating Risk & Driving Adoption with Responsible ML

Presented by

Ben Cox, Dir. Product Marketing, H2O.ai, Navdeep Gill, Lead Data Scientist, H2O.ai, Patrick Hall, Advisory Consultant, H2O.ai

About this talk

Like other powerful technologies, AI and machine learning present significant opportunities. To reap the full benefits of ML, organizations must also mitigate the considerable risks it presents. This webinar outlines a set of actionable best practices for people, processes, and technology that can enable organizations to innovate with ML in a responsible manner. The goal is to promote human safety in ML practices so that in the near future, there will be no need to differentiate between the general practice and the responsible practice of ML. In this webinar, you will learn: - Why an organization’s ML culture is an important aspect of responsible ML practice - Suggestions for changing or updating your processes to govern ML assets - Tools that can help organizations build human trust and understanding into their ML systems - Core considerations for companies that want to drive value from ML Presenters: Ben Cox, Director of Product Marketing at H2O.ai Navdeep Gill, Lead Data Scientist at H2O.ai Patrick Hall, Advisory Consultant at H2O.ai

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H2O.ai is the maker of H2O, the world's best machine learning platform and Driverless AI, which automates machine learning. H2O is used by over 200,000 data scientists and more than 18,000 organizations globally. H2O Driverless AI does auto feature engineering and can achieve 40x speed-ups on GPUs.