[Webinar] Interpretable ML for Enterprise Applications

Join us for a virtual event to hear industry experts share the best ML and Data Science practices for enterprise applications.

RSVP here: https://bit.ly/3iHrXdy

August 6 webinar themed "Interpretable Machine Learning for Enterprise Applications" will focus on showing how leading companies leverage Machine Learning and Data Science in multiple industries.

Speakers:

Ilya Katsov, Head of Data Science, Grid Dynamics
Prabhakar Narasimhadevara, Director of Data Science, Advanced Analytics, and Data Engineering, Stanley Black & Decker (Atlanta, GA)

Our speakers will:

• show how to build interpretable time series models
• cover the most common problems in enterprise operations
• discuss the ways to use a demand forecasting system to help drive strategic actions

Agenda:

11:00-11:20 AM PDT :

AI/ML driven improvement of demand forecasts by Prabhakar Narasimhadevara, Director of Data Science, Advanced Analytics and Data Engineering, Stanley Black & Decker

11:20-11:55 PM PDT :

Interpretable Forecasting Models: Decomposition of Demand and Other Enterprise Time Series by Ilya Katsov, Head of Data Science, Grid Dynamics

11:55-12:05 PM PDT :

QnA session

To join us register here: https://bit.ly/3iHrXdy

Data Points by Grid Dynamics is a series of online events, conferences, and meetups around Data Science, Artificial Intelligence, and Machine Learning in enterprise applications. Join other senior practitioners and executives for an immersive afternoon of talks on use cases, trends, and the technical infrastructure powering the most sophisticated data practices.practices.