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Video: New Ways to Effectively Manage Risk in Machine Learning

Machine learning (ML) is becoming increasingly prevalent across industries, creating new types and new levels of risk. Managing this risk is quickly becoming the central challenge of major organizations, one that strains data science teams, legal personnel, and the C-suite alike. How organizations approach manage this risk will determine their ability to fully make use...

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...

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,...

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...

AI, Healthcare and Our Friends at the University of Chicago

It’s been a big month for Immuta and our friends at the University of Chicago’s School of Medicine. In early May, our CPO Andrew Burt published a piece with Dr. Samuel Volchenboum, an associate professor of pediatrics and director of the Center for Research Informatics at the University of Chicago, in the Harvard Business Review...

Spark Is Now In Immuta!

ANNOUNCEMENT Immuta is happy to announce our 2.1 release which includes native SparkSQL policy enforcement. With this new capability, Immuta can now enforce all the same policies historically available through Immuta while allowing massive scale processing in Spark. This includes row and column level controls, time windowing, minimization, purpose limitations (critical to GDPR), as well...

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