AWS Data Exchange Webinar: Maintain competitive edge with third-party financial services data

Join this webinar, Nov 11, to learn how leveraging third-party financial services data can facilitate faster, intelligence-based decision-making that propels your company's business outcomes and digital transformation.

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How to achieve faster time to insight with third-party financial services data
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Thursday, Nov 11
11am pt | 2pm et
60 min session
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Join this webinar to learn how leveraging third-party financial services data can facilitate faster, intelligence-based decision-making that propels your company's business outcomes and digital transformation.
In this webinar:
In this virtual session, AWS Data Exchange and FactSet will share key third-party data integration strategies that inform investment decisions, mitigate risk, increase sales, and drive business growth. Learn how to use these datasets in AWS services and begin the next phase of your company's digital transformation to support its future growth and success.
Key takeaways include:

Why FactSet makes their data available on the cloud and how they're using AWS Data Exchange features to make data more accessible


How companies are using FactSet data to make smarter decisions


How to use AWS Data Exchange newest features to easily consume and analyze data


How to discover, find, and use third-party data with AWS Data Exchange

Matthew Napoli
Customer AWS Data Exchange - Consumer Markets, AWS Data Exchange
AWS Data Exchange
Matt helps AWS's Financial Services customers more easily integrate external data into their investment research processes. Prior to AWS, Matt was a Business Developer for Two Sigma's Alpha Capture Division (2007-2016) and managed Data Distribution for 1010data (2017-2020). Matt holds a BA in Economics from New York University.
Peter Dorsey
FDP, Product Strategist, Cloud and Managed Services, FactSet
Peter is a Product Strategist at FactSet. In this role, he oversees the strategy and development around FactSet's cloud and managed services. Since joining FactSet in 2015, Peter has built extensive experience working with data feed solutions across a variety of workflows in asset management, wealth management, insurance, pension funds, corporates, and brokerage firms. He earned a BA in Economics from the University of Virginia.
Brenden Grace
Chief Technology Officer, Demyst
Brenden is responsible for product strategy as well as development of Demyst's technology platform and infrastructure. Prior to joining Demyst in 2015, Brenden was Vice President of Engineering for Collective where he was responsible for all of engineering and infrastructure as well as the product development processes which coordinated over 80 product managers, engineers, and data scientists. Before Collective, Brenden helped grow a number of early-stage startups in AdTech (acquired) and network security and is currently named on two patents related to behavioral and contextual advertising. Brenden graduated with a Bachelor of Science in Computer Science and Data Network Communications from James Madison University.
Kanchan Waikar
Solutions Architect, AWS
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Kanchan Waikar is a Senior Partner Solutions Architect at Amazon Web Services with AWS Marketplace for machine learning group. She has over 14 years of experience building, architecting, and managing NLP and software development projects. She has a master's degree in computer science (data science major), and she enjoys helping customers build solutions backed by AI/ML-based AWS services and partner solutions.
Colin Marden
Solutions Architect, AWS
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Colin is a Solutions Architect in the financial services industry supporting AWS Enterprise Greenfield customers in their journey to modernize, transform, and migrate workloads to the AWS Cloud. Colin is a champion and specialist for Amazon QuickSight and AWS Data Exchange, regularly speaking at AWS and partner events on subjects like data engineering and visualization.
About AWS Data Exchange:
AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Once subscribed to a data product, you can use the AWS Data Exchange API to load data directly into Amazon S3 and then analyze it with a wide variety of AWS analytics and machine- learning services. Click here to browse thousands of data products now available from more than 80 qualified data providers in AWS Marketplace. Visit to learn more.
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