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Accelerating AI at scale without sacrificing security

CIO Business Intelligence

Above all, robust governance is essential. Failing to invest in data governance and security practices risks not only regulatory lapses and internal governance violations, but also bad outputs from AI that can stunt growth, lead to biased outcomes and inaccurate insights, and waste an organization’s resources.

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How companies are building sustainable AI and ML initiatives

O'Reilly on Data

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. Data scientists and data engineers are in demand.

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Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

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Recapping the Data Governance Winter Conference and looking ahead to 2018 governance trends

IBM Big Data Hub

The 2017 Data Governance Winter Conference on 4 - 8 December covered topics ranging from how to start a data governance program to attaining data governance maturity to how to improve your organization’s information quality.

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All in the Data: Data Governance Bill of “Rights” Revisited

TDAN

I last published my Data Governance Bill of “Rights” in a TDAN.com article circa 2017. I mentioned in the earlier piece that Data Governance is all about doing the “right” thing when it comes to managing your data. It’s all in the data. That seems like a long time ago.

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What Is Data Governance and Why Does It Matter?

Dataiku

According to Dama , a global organization dedicated to advancing the concepts and practices of information and data management, “data governance is defined as the exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets" ( Henderson, D., &; &; Earley, S.,

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The Market of Data at Strata

David Menninger's Analyst Perspectives

In 2017 Strata + Hadoop World was changed to the Strata Data Conference. That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data.

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