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Immuta Personalizes Data Access to Accelerate the Deployment of Machine Learning and AI

By   /  September 22, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Immuta today unveiled its advanced data management platform for data science, providing new features that accelerate the creation, deployment and control of machine learning and artificial intelligence (AI). With this release, Immuta is the first company to deliver personalized data access and automated differential privacy for data science, providing enterprises with unprecedented control and visibility into the data driving algorithmic decision making – shrinking manual, month-long processes down to seconds.”

The release goes on, “According to IDC, the widespread adoption of cognitive systems and AI across a broad range of industries will drive worldwide revenues from nearly $8 billion in 2016 to more than $47 billion in 2020. Businesses are increasingly relying on these algorithms for decision making, rendering organizations more susceptible to risks, such as bias, error, fraud and more. To both accelerate the development towards algorithm-centric business models, as well as understand how decisions are being made, organizations require greater control over the data being used by machine learning and AI models.”

Matthew Carroll, CEO of Immuta, commented, “As organizations rely more heavily on algorithms to make critical business decisions, they will be required to demonstrate exactly how and why these decisions are being made, especially when it’s concerning important consumer choices, like credit, loans, healthcare and more… The key to explaining decisions made by machine learning and AI models starts by gaining a deeper understanding of the underlying data being used by the systems. Our new platform provides organizations with greater control over the data being fed into the algorithms, allowing them to deploy AI and machine learning faster and with greater visibility.”

Read more at Business Wire.

Photo credit: Immuta

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