Riddhiman Das, Co-Founder & CEO, TripleBlind
Aoife Sexton, Chief Privacy Officer & Chief of Product Innovation, Trüata
Johannes Jaeckle, Co-Founder & CEO, Heron Data
Dan Scholey, Chief Commercial Officer, Moneyhub
Moderated by: Olivia Minnok, Editor, FinTech Alliance
If nobody likes data silos, why is it so hard to share it?
On June 9, Riddhiman Das, Johannes Jaeclke, and Dan Scholey will explore cross industry data collaboration in financial services during a panel discussion moderated by Mark Walker, Editorial Director of The Fintech Times titled, “If Nobody Likes Data Silos, Why Is It So Hard to Share It?”. The discussion will highlight the evolution of banks and financial institutions into big data companies and how innovative solutions, including privacy-enhancing technologies (PET), can help remove data silos while preserving privacy and enforcing compliance.
Handling data effectively is among the biggest concerns for C-Suite leaders, compliance officers and data scientists in the financial services industry. Issues surrounding data access, data prep, data bias challenges and compliance affect every business that leverages artificial intelligence (AI), machine learning, analytics or collaboration.
The emerging PET category represents a cohort of technological solutions that seek to ease the pains, pressures and risks involved in working with sensitive and protected data.
TripleBlind has created the most complete and scalable solution for privacy enhancing computation. TripleBlind’s innovations build on well understood principles, such as federated learning and multi-party compute, and radically improve the practical use of privacy preserving technology, with support for all data and algorithm types.
Thursday, June 9, 2022
2:10 – 2:45 p.m. (CEST)
M Pulse Stage, RAI
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Combining Data and Algorithms while Preserving Privacy and Ensuring Compliance
TripleBlind has created the most complete and scalable solution for privacy enhancing computation.
The TripleBlind solution is software-only and delivered via a simple API. It solves for a broad range of use cases, with current focus on healthcare and financial services. The company is backed by Accenture, General Catalyst and The Mayo Clinic.
TripleBlind’s innovations build on well understood principles, such as federated learning and multi-party compute. Our innovations radically improve the practical use of privacy preserving technologies, by adding true scalability and faster processing, with support for all data and algorithm types. We support all cloud platforms and unlock the intellectual property value of data, while preserving privacy and ensuring compliance with all known data privacy and data residency standards, such as HIPAA and GDPR.
TripleBlind compares favorably with existing methods of privacy preserving technology, such as homomorphic encryption, synthetic data and tokenization and has documented use cases for more than two dozen mission critical business problems.
For an overview, a live demo, or a one-hour hands-on workshop, firstname.lastname@example.org.