Desktop calendar, December

TripleBlind Thought Leaders Share Insight into Genomic Data, Decentralized Data and Alternative Data Collaboration at Industry Events in December

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KANSAS CITY, MO., Nov. 30, 2021 – TripleBlind, the data sharing solution that enables enterprises to freely collaborate using their most sensitive data and algorithms without ever compromising privacy, will share industry insights and trends at three events in November. 

TripleBlind will participate in the following events:

  • The Data Monetization Opportunity (And How to Do It Securely!), Wednesday, Dec. 1 at 12 p.m. CT, Virtual.

TripleBlind and Eagle Alpha will host a joint webinar that will discuss the alternative data market and how companies can externally monetize their data. Click here to register.

In this free webinar, the below thought leaders will discuss the external data market and opportunities, ways to safely monetize data and how to supercharge external data monetization efforts:

    • Sam Abadir, Director of Partnerships at TripleBlind
    • Chris Barnett, VP of Partnerships & Licensing at TripleBlind
    • Ronan Crosson, Director of Data Strategy & Analytics at Eagle Alpha
    • Enrique Garcia-Ayesta, Co-Founder & CEO at Apeiron Insight
    • Toby Dayton, CEO at LinkUp
  • The AI Summit New York, Dec. 8-9, Javits Center, New York City, NY.

TripleBlind co-founder and CEO Riddhiman Das will present on the topic, Globalizing Premier Healthcare Through Blind Learning, on Wednesday, Dec. 8 from 10:20-10:45 a.m. EST.

Using insight from TripleBlind’s work with Mayo Clinic and other healthcare luminaries, Das will share insight into how TripleBlind’s private data sharing solution can accelerate AI and collaboration in this space. Click here to register.

  • NeurIPS, Dec. 6-14, Virtual.

TripleBlind submitted a tool demonstration paper, titled “TripleBlind: A Privacy-Preserving Framework for Decentralized Data and Algorithms,” that was accepted to NeurIPS 2021, Demo Track. TripleBlind will present the paper at the event on Friday, Dec. 10 at 11:20-11:35 a.m. CT. 

The demo session will focus on three major concerns when it comes to privacy-preserving AI using decentralized data and algorithms: accuracy, privacy, and communication cost. Click here to register.

 

About TripleBlind

TripleBlind offers proprietary cryptographically-enforced privacy for data and algorithms, allowing institutions to collaborate around the most private and sensitive data without it ever being decrypted or leaving their firewall. TripleBlind provides one-way encryption and allows only authorized operations on any type of data, any algorithm, computable by third parties in real-time. TripleBlind never hosts or accesses shared data.  

TripleBlind’s Private Data Sharing Solution unlocks the estimated 43ZB of data that are not commercialized today. The company’s patented breakthroughs in advanced mathematics enable organizations to secure larger and more diverse data sets for innovating enhanced algorithms for medical diagnoses and improved anti-fraud initiatives in financial services. TripleBlind enforces international and regional data privacy standards, including HIPAA, GDPR, PDPR, and CCPA.

 

Helpful links:
TripleBlind Two Minute Overview Video
Background on Competing Solutions

 

TripleBlind technology significantly differs from existing solutions and is not based on homomorphic encryption, secure enclaves, tokenization/masking/hashing and differential privacy, synthetic data, federated learning and blockchain. For an overview, a live demo, or a one-hour hands-on workshop, contact@tripleblind.ai.

 

Contact
mediainquiries@tripleblind.ai