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Japan Times Indicates Japan considers using AI for speedy policy decisions

CTOvision

The government is considering introducing an artificial intelligence-based big data analysis system developed by an American firm in order to enable speedier policy decisions, according to government sources. It has started […].

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How CIOs Can Become Artificial Intelligence Experts

The Accidental Successful CIO

CIOs Need To Prepare For The Arrival Of AI CIOs can remember not all that long ago that AI was the exclusive domain of data scientists. All people have to do is to plug data into standardized AI templates. Automated ML can be used to ease the pain of data science.

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Artificial Intelligence in practice

CIO Business Intelligence

The world has known the term artificial intelligence for decades. Until recently, discussion of this technology was prospective; experts merely developed theories about what AI might be able to do in the future. In some cases, the data ingestion comes from cameras or recording devices connected to the model.

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Google’s Greenhouse Gas Emissions Surge by 48% in Five Years Due To Artificial Intelligence

IT Toolbox

Learn more about the development and what it means for the tech giant. The post Google’s Greenhouse Gas Emissions Surge by 48% in Five Years Due To Artificial Intelligence appeared first on Spiceworks Inc.

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The Role of Artificial Intelligence in Pandemic Response: Lessons Learned From COVID-19

Download this whitepaper to learn about: Development of AI standards for pandemic models that will be used in future pandemic responses. This whitepaper reviews lessons learned from applying AI to the pandemic’s response efforts, and insights to mitigating the next pandemic. Modernization of U.S. health reporting standards.

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Rethinking AI’s Impact on Software Development and Testing

Information Week

Adoption of artificial intelligence isn’t just about learning from customer data or supporting line workers. It’s already making an impact in software development processes.

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The 37 Major Machine Learning Tools For 2020

Forrester IT

Enterprises need more artificial intelligence (AI) and machine learning (ML) solutions to drive value, transform their businesses, and outperform the competition. But firms find it challenging to navigate the lifecycle of developing, deploying and maintaining their ML models and AI solutions. A key problem?