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What you need to know about product management for AI

O'Reilly on Data

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

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Top 7 Data Governance Blog Posts of 2018

erwin

The Top 6 Benefits of Data Governance. www.erwin.com/blog/top-6-benefits-of-data-governance/. GDPR went into effect for businesses trading with the European Union, including hefty fines for noncompliance with its data collection, storage and usage standards. Data Governance Readiness: The Five Pillars.

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AI adoption in the enterprise 2020

O'Reilly on Data

The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses. This year, about 15% of respondent organizations are not doing anything with AI, down ~20% from our 2019 survey. It seems as if the experimental AI projects of 2019 have borne fruit. But what kind? Bottlenecks to AI adoption.

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Pillars of Knowledge, Best Practices for Data Governance

Cloudera

Data governance used to be considered a “nice to have” function within an enterprise, but it didn’t receive serious attention until the sheer volume of business and personal data started taking off with the introduction of smartphones in the mid-2000s. This is essential to delivering data-driven insights.

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Top 10 Key Features of BI Tools in 2020

FineReport

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

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The What & Why of Data Governance

erwin

Like CCPA, the Virginia bill would give consumers the right to access their data, correct inaccuracies, and request the deletion of information. Virginia residents also would be able to opt out of data collection.

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Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

In today’s day and age, data can be found just about anywhere. The volume and types of data are growing by the day, making data processing and generation of data insights more and more complicated. Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction.