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Data Governance Anti-Patterns: Start From Scratch; Rinse, Repeat

This is part IV of our “Data Governance Anti-Patterns Series.” You can find part III here. Anti-patterns are behaviors that take bad problems and lead to even worse solutions. In the world of data governance, they’re everywhere. This blog’s anti-pattern again serves as an example of how initial intuition does not lend itself to a...

Recommendation in Favor of Google Allows for Balkanization of Data Governance

The chief privacy officer and legal engineer of data management company Immuta said that this was only a recommendation and there will still need to be a final ruling by the court. Click here to read the full article.

AI Governance: Seeking Clarity and Structure

The spread of artificial intelligence and machine learning is prompting more insistent calls and proposals for oversight and governance – and not just from the risk managers and compliance professionals who are on alert for new threats to business enterprises. The Future of Privacy Forum, a nonprofit focused on privacy and data governance issues, has teamed...

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...

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...

Machine Learning’s Dirty Secret

Underneath all the hype and the headlines and the money pouring into artificial intelligence and machine learning, there’s a dirty secret. That secret? Almost no one knows how to utilize the technology at scale. More precisely, only a very small handful of organizations truly understand how to manage the risks of machine learning (ML) when...

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