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When natural disasters strike Japan, ?ita University’s EDiSON is ready to act

CIO Business Intelligence

In 2017, the university created its Education and Research Center for Disaster Risk Reduction and Redesign that focuses on disaster relief – including disaster medicine, prevention education, and reconstruction design.

IoT 108
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National Grid’s energy transformation is fueled by IT

CIO Business Intelligence

That’s what some people asked of Adriana “Andi” Karaboutis, the former CIO of Dell who left the computer giant and was named National Grid’s global chief information and digital officer in 2017. Optimizing with machine learning. Her answer? She gets to change the world.

IT 105
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Is Big Data the Saviour of the Aging Telecommunications Industry?

Smart Data Collective

However, it has been slow to invest in machine learning and other big data tools, until recently. A 2017 analysis by MapR showed that telecommunications industries can benefit from big data more than almost any other company. The telecommunications industry could benefit from big data more than almost any other business.

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Internet of Things in Healthcare – Three Examples of How IoT is Ushering in Advanced Healthcare

Cloudera

Most of us have seen the news stories and forecasts about the Internet of Things (IoT) and what a vast market and field of opportunity it will be. This article was originally published in RTInsights on October 12, 2017. For more information: Learn more about Cloudera’s data management platform for IoT.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. billion in 2017 to $190.61 Get the inside scoop and learn all the new buzzwords in tech for 2020! Internet of Things.

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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. 2018-06-21).

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud.