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Experian Launches AI-Driven Experian Assistant for Faster Model Development

Author

Slice of Finance Team
30 Oct

Key Highlights:

  • Reduces modeling time from months to hours through AI-driven support on the Experian Ascend™ platform.

  • Enhances productivity by up to 75% by streamlining model development and deployment processes.

  • Supports data accessibility for analysts and data scientists using natural language processing.

  • Promotes regulatory compliance with insights on credit data, identity management, and transaction monitoring.

  • Optimizes cost efficiency with faster and less resource-intensive model builds.

Notable Quotes:

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“With Experian Assistant, there is a lot of efficiency and improvement in productivity. We have reduced the time spent on data building by almost 75%, so we can build a model much quicker, and the code being generated by Experian Assistant is very high quality, enabling us to move forward much faster.”

Victor Rwenhumbiza, EVP, Chief Data Scientist at Continental Finance Company
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“Using natural language processing to help with complex use cases, Experian Assistant radically changes the workflow of data scientists and data analysts alike, enabling our customers to garner insights and make business decisions with less staff time invested and with faster turnaround.”

Scott Brown, Group President Financial and Marketing Services at Experian North America

Our Take:

Experian Assistant represents a notable advancement in AI application for the finance industry, specifically addressing the demand for rapid data-driven insights while navigating complex regulatory environments. By enabling efficient, high-quality model development, Experian is responding to the industry’s need for adaptable, time-saving technology amidst increasing competition for analytics talent. The integration with Experian Ascend™ and natural language interface underscores the push for accessibility, empowering both seasoned data scientists and newer analysts to achieve faster model deployment and reduce operational costs.