Practical ML | Virtual event
Virtual Event Tuesday 22nd September 2020
9:00 AM BST | 10:00 AM CEST
Today, more than ever, data science teams can help solve the world’s toughest problems. From better understanding the impact of COVID-19 to responding faster to the extreme volatility of today’s markets across all industries, data scientists hold huge responsibilities toward the communities and businesses around them.
But how can we balance the urgency of business needs with scientific correctness when the entire world is changing so quickly? How can data teams work together to find new and creative solutions in a more agile manner? How can you accelerate time to market when existing processes and pipelines are painfully slow and manual?
Join our interactive virtual event to see real-world examples and demos of how the Databricks Unified Data Analytics Platform can help data teams build the foundation and processes required to respond to business needs faster in a dynamic world. Specifically, we’ll cover the following:
Presentations will be followed by success stories and learnings from experts in the field from a diverse set of industries. Live Q&As and discussions will keep this event engaging for data science leaders and practitioners alike.
Agenda at a glance
9:00-9:20 AM GMT – Building a modern data science and Machine Learning platform for real-time response – Opening Keynote by Clemens Mewald, Director of Product Management, Databricks
9:20-9:50 AM GMT – Operationalizing Data Science & ML on Databricks with MLflow – Product Demo by Sean Owen, Principal Solutions Architect, Databricks
9:50-10:00 AM GMT – Live Q&As
10:00 -10:30 AM GMT – Fireside Chat with Matt Turner, Chief Data Officer at Medical University of South Carolina and Ben Lorica, Chief Data Scientist, Databricks
Director of Product
Science and Machine
Chief Data Scientist,
Chief Data Officer,
Medical University of
Hosted by Ben Lorica, Chief Data Scientist, Databricks