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Adatao Releases Machine Learning Software Stack

The Challenges of Gaining Useful Insight into Data While there is a lot of interest in the potential of machine learning software, tapping into those capabilities is a major undertaking. Looking to make machine learning software more accessible, Adatao today released the Adatao Data Intelligence Platform, a comprehensive stack of software that includes everything from […]

Written By
MV
Mike Vizard
Apr 30, 2015
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The Challenges of Gaining Useful Insight into Data

While there is a lot of interest in the potential of machine learning software, tapping into those capabilities is a major undertaking.

Looking to make machine learning software more accessible, Adatao today released the Adatao Data Intelligence Platform, a comprehensive stack of software that includes everything from a predictive analytics engine to the dashboards needed to query data stored in the platform.

While Adatao is aiming to deliver a comprehensive machine learning platform, Adatao CEO Christopher Nguyen says the company has also made sure that there are open application programming interfaces (APIs) at every level of the stack. That way, organizations that have already invested in other analytics applications can just as readily invoke any component of the Adatao platform as any other module in the stack.

Nguyen says the primary issue with machine learning technologies at this point is not the core technology, but rather making the data from these applications more broadly accessible. Nguyen says we’re moving toward a world where software is intelligent enough to detect patterns and identify anomalies. The challenge will be finding the best ways to make that information available to end users in a way that provides actionable intelligence, says Nguyen.

Adatao

In the case of Adatao, Nguyen says that means integrating with everything from the open source R programming language to Microsoft Office.

While it’s still relatively early in terms of mainstream machine learning software adoption, the fact that IT organizations can now store massive amounts of data relatively inexpensively provides foundational component for artificial intelligence (AI) applications that has been long missing. Combine that with massive amounts of compute horsepower in the cloud and the stage in the years ahead is set for a massive leap forward in the sophistication of enterprise application software.

MV

Michael Vizard is a seasoned IT journalist, with nearly 30 years of experience writing and editing about enterprise IT issues. He is a contributor to publications including Programmableweb, IT Business Edge, CIOinsight and UBM Tech. He formerly was editorial director for Ziff-Davis Enterprise, where he launched the company’s custom content division, and has also served as editor in chief for CRN and InfoWorld. He also has held editorial positions at PC Week, Computerworld and Digital Review.

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