This page includes links to articles dealing with subjects close to Information 4.0 or subjects that help understand the environment around our field. They are part of our own search to better understand. They appear in the order in which we discover them.

Making Artificial Intelligence work for you — Part 2: Understanding what the user says

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Making Artificial Intelligence work for you: Part 1 — What is AI?

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Freedom, Permissionless Innovation, and a Successful Internet

This article is fundamental. It helps us this about responsibility and governance. Erik Huizer is presenting at Information Energy 2017 in Utrecht: INTERNET GOVERNANCE AND ONLINE FREEDOM.

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‘It Has To Have A Soul’: How Chatbots Get Their Personalities

“These days, talking to a bot is commonplace. Think Siri, or your chatty banking app. But you wouldn’t talk to your toaster like you talk to a friend — unless your toaster had a great sense of humor.”

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6 Technology Trends That Aren’t AI, Blockchain or VR

“We have AI in art, in finance and healthcare. While these technologies are providing value, the hype is getting a tad bit too much.” Some other major development apart from the hyped ones.

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The Immense Potential, And Limits, Of Our AI Future—Mattermark Daily

This post is a set of links on the subject of the investment potential in and around AI.

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Predictive Thursdays: An AI Shares My Office

This is about predictive AI.

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6 Awesome Facts You Need to Know About AR is a company we follow all the time and often shown in our conferences. This is their vision around AR.

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Will Democracy Survive Big Data and Artificial Intelligence?

 “We are in the middle of a technological upheaval that will transform the way society is organized. We must make the right decisions now”. Obviously, we can only agree with this statement.

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“…better…stronger…faster…”; Building the perfect content creator

“a cautionary tale: a content strategy needs to be much more than buying some tools and adopting your pet theory of structured reusable content.”

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Notes on Representation Learning

  • Published by Zac Kriegman, Senior Data Scientist in the Thomson Reuters Data Innovation Lab on February 2017 on

Learning about learning – this is fundamental for building new user information discovery journeys. Talk to us if you don’t understand that term!

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The state and challenges of Industry 4.0

  • Published in December 2016 on i-scoop.

“Industry 4.0 ranks high on the agenda, yet in practice one or two isolated aspects of Industry 4.0 are implemented, the company says. Examples: big data and/or robotics.

This is really the first stage of maturity whereby there is also a focus on the mentioned optimization and automation goals and gains, which is perfectly normal but it shouldn’t stop there.”

A really good update on the thinking on Industry 4.0. If you are interested in understanding why we are motivated to look at the information Industry 4.0, read this.

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Where machines could replace humans—and where they can’t (yet)

“The technical potential for automation differs dramatically across sectors and activities.” This is an analysis of what sectors will be impacted.

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How AI can bring on a second Industrial Revolution

  • TED talk by Kevin Kelly filmed in June 2016 at TEDSummit.

Kevin Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. “The most popular AI product 20 years from now that everyone uses has not been invented yet,” Kelly says. “That means that you’re not late.”

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A glimpse of the future through an augmented reality headset

“Meta 2, an augmented reality headset that makes it possible for users to see, grab and move holograms just like physical objects” It’s about delivery and user experience. A must see, and maybe must have soon.

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Design principles for Industry 4.0 Scenarios

  • PDF from Technische Universitat Dortmund publish on November 1, 2015 by Mario Hermann,  Tobias Pentek & Boris Otto.

Although this article dates a bit, it is fundamental for understanding the basis of Information 4.0. After all, Industry 4.0 is, initially a German concept.

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What happens when our computers get smarter than we are?

Nick Bostrom asks big questions: What should we do, as individuals and as a species, to optimise our long-term prospects? Will humanity’s technological advancements ultimately destroy us? For us, this poses fundamental questions we all need to deal with.

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