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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

With an experience of over twenty years in the Artificial Intelligence (AI) space, Alex Champandard is the co-founder of Creative.ai, a startup that aims at building AI/ML-powered tools for designers and artists. He has recently co-authored Rebooting AI: Building Artificial Intelligence We Can Trust along with Ernest Davis.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

With an experience of over twenty years in the Artificial Intelligence (AI) space, Alex Champandard is the co-founder of Creative.ai, a startup that aims at building AI/ML-powered tools for designers and artists. He has recently co-authored Rebooting AI: Building Artificial Intelligence We Can Trust along with Ernest Davis.

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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 331
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What you don’t know about data management could kill your business

CIO

But at the other end of the attention spectrum is data management, which all too frequently is perceived as being boring, tedious, the work of clerks and admins, and ridiculously expensive. Still, to truly create lasting value with data, organizations must develop data management mastery. And here is the gotcha piece about data.

Data 329
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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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AIMMO bags $12M Series A to advance data labeling technology  

TechCrunch

Most artificial intelligence models are trained through supervised learning, meaning that humans must label raw data. Data labeling is a critical part of automating artificial intelligence and machine learning model, but at the same time, it can be time-consuming and tedious work.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.). Temporal data and time-series.