Scaling Enterprise Machine Learning Through Governance & MLOps

Abstract:

Enterprise Organizations require to develop more Machine Learning Algorithms to maintain their competitive advantage. Deploying AI/ML in production at Scale is very complex.
Jamal Robinson will help us understand the challenges on assessing your organization ML Maturity level and break down how to calculate the ROI AI/ML investment before you start developing models.

Bio:

Jamal Robinson is an executive experienced with enabling growth and innovation through Artificial Intelligence & Machine Learning (AIML) technologies.
He is currently a Senior Director of AI Platforms & Services at Microsoft and in the past led AI/ML business development at Amazon, been a Director of AI at Intel and Snowflake, consulted with the Big 3 and has been a trusted advisor to CxOs, executive leadership teams and strategic partners guiding business and investment strategy.

He’s a recognized thought leader, experienced with evangelizing emerging technologies and digital transformation to thousands across key industry events. His publications have been featured across O’Reilly Media, Towards Data Science, the Forbes and other media outlets.

A prior data science professor at UC Berkeley, speaker at Stanford and partnered with Columbia University developing programs to make high quality education more accessible in emerging South American, African and Asian markets.

When he has free time you can find him in the studio refining his DJ skills.