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

IT Toolbox

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

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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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SAP names Philipp Herzig as chief artificial intelligence officer

CIO Business Intelligence

Philipp Herzig, formerly head of cross-product engineering and experience, now leads a new “end-to-end growth area” focused on AI as the company’s chief artificial intelligence officer (CAIO). With this new structure, SAP aims to accelerate the pace of its AI development, according to a statement from the software manufacturer.

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How is Generative AI Forcing Software Development to Evolve?

IT Toolbox

The post How is Generative AI Forcing Software Development to Evolve? AI’s revolution is upon us. Here’s what it means for IT leaders. appeared first on Spiceworks.

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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

It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.

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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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No Testing, No Artificial Intelligence !

Forrester IT

AI is being infused into new and classic software everywhere. However, only one-third of developers claim to know how to test AI-based systems. The research related to this post is the first in a series of documents on testing AI-based software. Read the second in the series, "No Testing Means No Trust In AI: Part 2," next.