Powering Proprietary Models and Platforms with S&P Global Data and Snowflake

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Powering Proprietary Models Sandp Session

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Presentation Description:

Join us as David Coluccio, Managing Director, Data Management Solutions at S&P Global Market Intelligence, sits down with Noel Calhoun, Chief Technology Officer at Interos, to discuss how Interos is utilizing the power of S&P Global data via Snowflake to fuel their Business Relationship Intelligence Platform. During this presentation you’ll hear firsthand how Interos is streamlining their processes, feeding their machine learning models, building risk factors, and creating advanced visualizations to provide real-time risk awareness for manufacturing, federal agencies, financial services, insurance organizations and more. Additionally, you will learn how Interos is utilizing S&P Global’s Kensho Link, a machine learning-based solution build to reduce manual processes associated with data linking, to companies such as Interos to improve efficiencies and help solve the challenges associated with linking big data.

Presentation Track: Build Data Apps and Data Products
Presentation Date: November 29, 2020
Presentation Speaker(s): David Coluccio
Frank’s Comment: This looks really interesting. Looks like it is more for advanced practictioners

Overview ITS:

In this session, we learn how collectively the S&P Global Data and Snowflake are powering proprietary models and platforms. Specifically focusing on the company Interos, we learn how they used these two in fueling their business relationship intelligence platform to overcome their challenges. By having seamless access to leading data via the Snowflake Data Marketplace, it was easier for Interos to build machine learning models and analyze them alongside other contextual data.
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