Many asset management firms struggle to scale their data science efforts due to fragmented data. Data scientists spend huge amounts of time preparing and wrangling data across different systems—creating huge data and compute bottlenecks.
In this live demo, we show how different data roles in an asset management firm, including the global head of trading, data engineering, data science, and business analytics, can all leverage the Snowflake Financial Services Data Cloud to:
- Generate more alpha
- Develop new investment products
- Implement new investment strategies faster
Speakers
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Shireen Irani
Strategic Client Executive, Snowflake
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Allen Wong
Senior Sales Engineer, Snowflake
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Michael Stead
Sales Engineer, Snowflake
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Aswinee Rath
Senior Sales Engineer, Snowflake
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John Scrivener
Senior Sales Engineer, Snowflake