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A Former Chief Operational Risk Officer for a Global Fortune 300 Bank on Why He Joined Immuta

“How does working for a software start-up compare to working for a massive financial institution?” I’ve been asked this question countless times since joining Immuta a few months ago as its Vice President of Governance, Risk, and Compliance. Well, two months isn’t a lot of time to base a conclusion, but superficially, it’s not all...

4 Privacy, Risk, AI, and Machine Learning Predictions for 2019 from Immuta CEO Matthew Carroll

Data Privacy Legislation in the U.S. Will Become a Real Conversation The run-up to the 2020 U.S. presidential election will dominate news cycles in 2019. While residual issues from 2016, such as the manipulation of media, the use of propaganda on social channels, and the influence of third parties on our politics, will be central...

Data Governance Anti-Patterns [Part III]: The Copy & Paste Data Sharing Method

(This Is Part Three of Our “Data Governance Anti-Patterns Series,” Part II Can Be Found Here). Anti-patterns are behaviors that take bad problems and lead to even worse solutions.  In the world of data governance, they’re everywhere. Today’s anti-pattern probably isn’t thought of as a “pattern” at all because it feels so obvious, and (on...

Insight From an Immuta Engineer: 3 Events, 3 Countries, & 3K Photos in 3 Months

A standard day at Immuta is anything but standard. As an engineer on our Applied Engineering team, I develop software solutions that help our customers deploy and scale Immuta successfully, no matter their data challenges. One of the things that enables Immuta’s leap forward in the data management and governance field is the opportunity to...

What the Vectaury Case Means for the Future of Data Sharing

In light of global laws like the EU’s General Data Protection Regulation (GDPR) and California Data Privacy Act, there’s no question that data governance must be at the core of all data sharing activities. A universal challenge for all data-driven enterprises is how to support existing business processes while also accelerating innovation – without violating...

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 managing this risk will determine their ability to fully make use...

AI + Regulations + Data = A Big Opportunity for Cloud-Based Data Science

Now that I’m a month into my Boston-based tenure at Immuta, and we’ve just launched some powerful cloud-centric platform additions, I thought I’d shed some light on the mission I chose to accept, and why it’s important to our current and prospective customers and partners. First, some background… Observing things has always been a hobby...

Immuta 2.3: A Low-Risk, Low-Cost Way to Move Data Science Ops to the Cloud

Lifting and shifting data science operations to the cloud is expensive and risky. Immuta 2.3 – available today – can help save you over 60% of cloud infrastructure costs while enforcing privacy controls across all of your enterprise data.   How do we do it? As part of Immuta’s 2.3 release, we’ve expanded Database/Hadoop/Spark data...

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