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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 455 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.

Security 103
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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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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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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 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Now the Fourth Industrial Revolution [2] is “digitizing the farm”— that is, radically reimagining agriculture through big data analytics that help farmers increase crop yields and using artificial intelligence (AI) to monitor pests, plant diseases, soil nutrients, and other growing conditions. Artificial Intelligence.

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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?