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Moody’s Analytics Accelerates Modeling with Domino Data Lab & AWS Technology


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Over the last several years, financial institutions have had to delicately balance managing demands from regulators and stakeholders.  Increased governance and need for transparency around custom credit risk and finance analytics have prompted institutions to focus investments in such areas.

To help meet market demand, Moody’s Analytics offers custom client solutions through a centralized, cloud-based data science platform.

Domino Data Lab and AWS have helped Moody’s Analytics significantly accelerate the pace of model building. Learn how the firm’s centralized, cloud-based data science platform is empowering new, customized client solutions that are pushing the envelope in the financial services market.

You'll find out:
  • Why Moody’s Analytics chose a central, cloud-based data science platform.
  • How to bring a software engineering discipline to data science without constraining innovation.
  • How data scientists at Moody’s Analytics are aligning with business goals and improving competitive differentiation.
  • Why data-driven companies should be worried about data scientists’ Shadow IT.

When: Available On Demand (please register to view)

Who Should Attend:
CIOs, Chief Risk Officers and Chief Compliance Officers of large financial institutions with a strong investment in data science or quantitative research should attend this webinar.

AWS Speaker:  Pratap Ramamurthy, Partner Solutions Architect

Domino Data Lab Speaker:
  Mac Steele, Director, Product

Customer Speaker:  Jacob Grotta, Managing Director, Risk Measurement, Moody's Analytics