Daniel Kraft, Suraj Kapa, Brian Anderson

Experts from TripleBlind, Singularity and MITRE to Address Challenges of Bias in Big Data in June 22 Webinar


Suraj Kapa, SVP Healthcare, TripleBlind
Daniel Kraft, Faculty Chair for Medicine at Singularity, Chair XPrize Pandemic Alliance Task Force
Brian Anderson, Chief Digital Health Physician, MITRE



How can enterprises enable cross institutional data marketplaces for secure data collaboration and genomic information while decreasing bias? How much data do we need and is there a better approach for vetting this data? 

On June 22, TripleBlind will host a webinar joined by healthcare experts from Google Cloud, Singularity and MITRE. 



Common obstacles among statisticians, data scientists and AI developers stems from three challenges: data access, data prep and the hidden biases in big data. This has prevented collaboration between healthcare enterprises, which is also stymied by regulated global data privacy protections, such as HIPAA. Learn how privacy enhancing technologies (PET) are enabling broader, diverse data engagement when it comes to data prep and enabling secure cross-institutional data exchange.



Wednesday, June 22, 2022, “How to Overcome Bias in Big Data”
11 a.m. CT



Virtual, via Zoom
Participants can register here


Additional Resources:



About TripleBlind

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 technology, by adding true scalability and faster processing, with support for all data and algorithm types. TripleBlind natively supports major cloud platforms, including availability for download and purchase via cloud marketplaces. TripleBlind unlocks the intellectual property value of data, while preserving privacy and ensuring compliance with HIPAA and GDPR. 

TripleBlind compares favorably with other privacy preserving technologies, 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, contact@tripleblind.ai.