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Mine, Mine, All Mine

John Battelle's Searchblog

Author’s musical preferences not included… No Longer Mine When I write, I like to listen to music. I Want To Mine This raises much larger issues about how – or whether – we are intelligently architecting the possibilities that define our interaction with knowledge. The original MusicPlasma interface.

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Security Affairs newsletter Round 450 by Pierluigi Paganini – INTERNATIONAL EDITION

Security Affairs

Every week the best security articles from Security Affairs are free for you in your email box. A new round of the weekly SecurityAffairs newsletter arrived! Enjoy a new round of the weekly SecurityAffairs newsletter, including the international press.

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Using Data De-Identification to Protect Companies

Data Matters

Many companies hope to benefit from amassing large amounts of data by mining it for market insights, creating internal business models, and supporting strategic, data-driven decisions. VIEW ARTICLE. This article originally appeared in Bloomberg Law. litigation discovery obligations.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

In the context of DT, this article defines content as information or data that has context and is consumable by humans and automated systems that allow them to make decisions, support operations, take actions, and monetize value by delivering products and services. Artificial Intelligence (AI) and Auto-Classification.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. Information Governance (IG). Discussions of IG often lead to a discussion of data governance (DG) and whether the two are different.

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Eli Manning and the power of AI in ESPN fantasy football

IBM Big Data Hub

But we needed someone who could help us tell the story; someone who could grab the attention of fantasy football enthusiasts, introduce them to the artificial intelligence of Watson, and encourage them to embrace the era of data-driven decision making. check out Eli’s visit to IBM Research here ).

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. What is machine learning?