The biggest problems facing healthcare and finserv professionals in 2022? Data problems.. We hear from C-Suite and compliance officers, data scientists and even cloud architects that if your work includes machine learning or analytics, you’re likely facing data access, prep, and bias challenges –– along with a host of compliance requirements and more. What if emerging privacy-enhancing technologies could reshape and catalyze your organizations’ data-based innovations?
The emergent category of privacy-enhancing technologies (PET), also referred to as privacy-enhancing computation (PEC), represents a cohort of technological solutions which seek to ease the pains, pressures, and risks involved in working with sensitive and protected data.
In this webinar, hear TripleBlind’s experts discuss how to choose the optimal PET technique(s) for your business problem and how to evaluate and implement solutions that will have the greatest impact. Techniques covered include:
- Differential Privacy
- Federated Learning
- Homomorphic Encryption
- Secure Enclaves (aka Confidential Compute or Trusted Execution Environment)
- Secure Multi-party Computation
- Synthetic Data
- Tokenization (along with data masking and data hashing)