How financial organizations can use synthetic data to overcome data inertia

On-demand webinar

45 minutes

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 presents a way for banks and financial institutions to regain their ability to work with data safely and efficiently. It shows how privacy-preserving synthetic data helps enterprises gain agility in data operations while complying with the financial industry's data constraints. It also presents real-life applications for privacy-preserving synthetic financial data

Key takeaways

  • Learn what are the costs of data inertia;
  • how synthetic data can help data teams tackle internal data restrictions;
  • and about real-life applications for privacy-preserving synthetic financial data.

speakers

Benjamin Nolan, Head Of Business Development at Statice

Ben 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.

Sven Guhr, Associate Director at Sopra Steria

Sven Guhr is Associate Director at Sopra Steria Consulting 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.

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