Remove 2019 Remove Data Governance Remove Data Integration Remove Modeling
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What’s the Current State of Data Governance and Automation?

erwin

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Most have only data governance operations.

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Who to Follow in 2019 for Big Data, Data Governance and GDPR Advice

erwin

Experts are predicting a surge in GDPR enforcement in 2019 as regulators begin to crackdown on organizations still lagging behind compliance standards. to driving revenue through proactive data governance initiatives and Big Data strategies, these accounts cover it all. Big Data Batman (@BigDataBatman) January 29, 2019.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In this post, I’ll describe some of the key areas of interest and concern highlighted by respondents from Europe, while describing how some of these topics will be covered at the upcoming Strata Data conference in London (April 29 - May 2, 2019). Data Platforms. Data Integration and Data Pipelines.

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Building Trust in Public Sector AI Starts with Trusting Your Data

Cloudera

These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and automation are the norm. Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment.

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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

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A 5D model to assess your IoT readiness

Cloudera

The report created a readiness model with five dimensions and various metrics under each dimension. The five dimensions of the readiness model are –. Data readiness – These set of metrics help you measure if your organization is geared up to handle the sheer volume, variety and velocity of IoT data. See you there!

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At the Top of Everyone’s List

Alation

IDC Innovators: Data Intelligence Software Platforms, 2019 Report. In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.