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Open Source vs. Proprietary AI: A Tussle for the Future of Artificial Intelligence

IT Toolbox

The post Open Source vs. Proprietary AI: A Tussle for the Future of Artificial Intelligence appeared first on Spiceworks. The approach to AI development is only getting mired in the same tussle that influenced the development of computing in the 20th century.

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CIOs Start To Rethink Artificial Intelligence

The Accidental Successful CIO

Is it possible that artificial intelligence is not all that smart? Image Credit: Alan Levine Just about every CIO has heard about artificial intelligence (AI) and the wonderful things that it can do. In a certain sense artificial intelligence is a bad name for what it is companies are doing here.

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How CIOs Can Become Artificial Intelligence Experts

The Accidental Successful CIO

Those who use the technology are mostly data engineers, software engineers and business analysts. Some tool companies’ software licenses require clients to work with a dedicated field engineer and a data scientist in the first year, when the automated ML functions are being set up and the algorithms are being deployed.

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Are You Ready For AI And Automation?

Forrester IT

High on the list of those innovations are what we can broadly term robots: artificial intelligence, automation, blockchain, other intelligent software, and even physical robots play a key role in changing how we […].

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

While advancements in software development and testing have come a long way, there is still room for improvement. With new AI and ML algorithms spanning development, code reviews, unit testing, test authoring, and AIOps, teams can boost their productivity and deliver better software faster.

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People And Automation Work Side By Side In Modern Factories

Forrester IT

software automation has also grown, with machine learning and artificial intelligence embedded in more and more processes. From steam-powered looms to cutting-edge industrial robots, hardware automation arrived first and continues to expand. Over the past decade or so of ‘Industry 4.0’ But my […].

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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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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. Democratizing AI through your organization requires more than just software. Aligning AI to your business objectives. Identifying good use cases.