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Topic
How financial organizations can use synthetic data to overcome data inertia
Description
Strict data regulations and cumbersome data governance processes are causing innovation inertia in banks and financial institutions. Where data should drive product development and fuel analysis, we see slow and tedious processes preventing teams from accessing, sharing, and leveraging data.
This webinar will present a way for banks and financial institutions to regain their ability to work with data safely and efficiently. We will show how privacy-preserving synthetic data is now being used to gain agility in data operations while complying with the data constraints of the financial industry.
We will discuss:
- What is at stake and what the inability to use data is costing to the financial industry
- How synthetic data can help data team tackle internal data restrictions
- Real-life applications for privacy-preserving synthetic financial data
Time
Sep 17, 2020 04:00 PM in
Amsterdam, Berlin, Rome, Stockholm, Vienna
Webinar is over, you cannot register now. If you have any questions, please contact Webinar host:
Elise Devaux
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Hi there, You are invited to a Zoom webinar. When: Sep 17, 2020 04:00 PM Amsterdam, Berlin, Rome, Stockholm, Vienna Topic: How financial organizations can use synthetic data to overcome data inertia Register in advance for this webinar: https://zoom.us/webinar/register/WN_jzDjb5z5SwuotAwqRECOJA After registering, you will receive a confirmation email containing information about joining the webinar. ---------- Webinar Speakers Sven Guhr (Associate Director @Sopra Steria) Sven Guhr is Associate Director at Sopra Steria and has been working on the topics of data analytics & artificial intelligence for many years. He holds a degree in business information technology and supports companies in setting up innovative data-driven solutions. Benjamin Nolan (Head of Business Development @Statice) Benjamin heads up commercial efforts at Statice. He works with Statice's partners to help them overcome their data access and privacy challenges with privacy-preserving synthetic data. He gets excited about data-driven innovation and has spent the last 8 years working in data focussed startups and scaleups.
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