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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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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. AI for Business. These industries accumulate ridiculous amounts of data on a daily basis.

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Deliver AI-Powered Analytics Apps on Cloud-Native Sisense

Sisense

Introducing Sisense Release Q3 2019. And while cloud-native architecture is paramount to drive the future of analytics apps, AI is also a critical component in order to reduce manual, repetitive steps during data prep and give business users the ability to gain new insights from which they can take action.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

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What Is Embedded Analytics?

Jet Global

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.