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Why a Professor in Information Technology Law & Data Governance Joined Immuta

I joined the Immuta team last Monday and, since then, have been asked several times: “Why join Immuta?” and “After a successful career in academia, why go and work for a data management company?” There are many reasons, but it boils down to this one: We now live in a profoundly data-driven economy and society....

Post-Event Reflections: Gartner Data & Analytics Summit (Frankfurt, Germany)

My favorite question to ask to fellow attendees last month at the Gartner Data & Analytics Summit in Frankfurt, Germany: “So, what are you hoping to get out of this week? I enjoyed meeting with a wide variety of professionals across the data and analytics spectrum at the event, all of whom had different reasons...

Immuta’s HIPAA Playbook and the Changing Nature of Health Data

It’s been 15 years since the U.S. Department of Health and Human Services (HHS) began enforcing the Health Insurance Portability and Accountability Act’s “Privacy Rule,” which set forth two main strategies to de-identify, and thereby legally use and disclose, protected data. The first is what’s called the “Safe Harbor” method, which requires entities to remove...

Cognoa Chief AI Officer: How Immuta Helped Us Overcome Data Challenges of AI-Based Medical Diagnostics

Here at Cognoa, we train algorithms – to diagnose behavioral health conditions, including autism and ADHD – with highly sensitive data from a production database that lives in a Health Insurance Portability and Accountability Act (HIPAA) environment containing patient identifiers and electronic protected health information (ePHI). Data privacy and security are therefore paramount to Cognoa,...

Highlights From Strata Data Conference New York 2018

Our team is coming off an exciting week at the Strata Data Conference where we were fortunate to have met with hundreds of prospects, and unveiled several major company initiatives during the week in New York City. The week started with an announcement that Matt Zames, current President of Cerberus Capital Management, L.P. (“Cerberus”), and...

Homomorphic Encryption Alone Is Security, Not Privacy

I’ve seen written many times that “Privacy can be improved with techniques like differential privacy and homomorphic encryption”.  Sure, but for totally different reasons.   Homomorphic encryption is an added layer of security that allows computation against encrypted data without decrypting it.  Without homomorphic encryption, databases must first decrypt the data before they can answer...

How Will The GDPR Impact Machine Learning?

The GDPR contains a host of forward-leaning data provisions, but none are thornier than the so-called “right to explainability” and the constraints the GDPR imposes on machine learning. With fines of up to four percent of global revenue, organizations using EU data will literally not be able to afford to ignore these issues. Questions created by the GDPR include: What types...

Data Privacy vs Machine Learning at ODSC East

Machine learning is seemingly incompatible with data privacy. I gave a talk on this topic at ODSC East this Spring and my argument is that if you take the appropriate steps to data privacy and governance, it can actually be an enabler for your machine learning initiatives. We’ll dive into some history of data privacy...

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