Democratizing and Monetizing Data at M Science with the Data Intelligence Platform
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Strategy and Lakehouse Implementation |
INDUSTRY | Enterprise Technology, Financial Services |
TECHNOLOGIES | GenAI/LLMs, Marketplace, SQL Analytics / BI / Visualizations |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
Examine the transformative role of the AI & Serverless Data Intelligence Platform in democratizing data and analytics on petabytes of data at M Science. Central is the integration of the Data Marketplace, enabling users as well as prospects and customers to discover and analyze data, extending data collaboration beyond traditional boundaries. Delve into the robust security and management features, detailing Unity Catalog high-level security and efficiency at data management. Securely import billions of records per day from hundreds of external sources. Tag, enrich, process, analyze and productize, driving a catalog of hundreds of data delivery endpoints and close to a 1000 customer facing analyst curated dashboards. The migration from siloed data lake and warehouse to a unified Data Intelligence Platform on the Lakehouse architecture sets up M Science for the next 5-10 years, underlining the Databricks partnership is as important as the platforming to build a data-empowered future!
SESSION SPEAKERS
Benjamin Tallman
/CTO
M Science
Michael Marrale
/CEO
M Science