Beyond De-identification:  Enabling compliant computational data pooling with meaningful privacy

Beyond De-identification: Enabling compliant computational data pooling with meaningful privacy

Monday, November 9, 2020 12:30 PM to 1:10 PM · 40 min. (Africa/Abidjan)
AI/ML
Panel Discussions
BioData World Congress

Information

  • Current trends in data sharing and privacy regulations
  • Why many use cases, which need to pool data, have been hard to implement thus far
  • Why differential privacy, a modern cryptographic technique, is especially suited to sharing life sciences data
  • Discuss what is actually possible today vs perception – it’s more than most people think
  • How modern technologies change the need for a “trusted third-party data steward”
Leapyear TechnologiesThe need to be data-driven is well-understood in the life sciences space. However, successful use of data is not simple, and often comes at a significant time and data quality costs. Regulatory and customer privacy obligations continue to expand, creating significant headwinds against maximizing commercial value of data initiatives. High performing organizations are seeking competitive differentiation by meeting these stringent obligations without sacrificing the business value that lies at the heart of their most sensitive data assets. LeapYear plays a pivotal role in transforming data use for life sciences companies. The LeapYear platform, based on the mathematical standard of differential privacy, provides a future-proofed approach for companies to safely compute on data without the need to mask, aggregate or devalue data. The technology enables data sharing across geographic and organizational boundaries while preserving data locality, confidentiality, and value—powering top line growth and critical data-driven initiatives across the life sciences ecosystem. Key use cases for LeapYear include: Cross border data access - driving the ability to analyze clinical data and generate real world evidence from any jurisdiction, without needing to move or aggregate data Cross line of business data sharing - connecting commercial, R&D and operational teams to safely share and analyze data which drive key strategic initiatives Streamlining data governance - granting immediate access to high value, granular data without risk of data exfiltration or mis-use The company is exclusively focused on enabling the high value and compliant use of data.  The platform powers customers in life sciences, healthcare and most major verticals, and holds more than 10 patents in the domain of differential privacy, and its applications to large enterprises.

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