Wed.May 01, 2024

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5 things CIOs must understand about AI infrastructure

CIO

Generative AI has captured everyone’s attention — and for good reason. But getting from potential to profitability does not come without risks, such as assuming that your established processes for deploying mainstream enterprise IT infrastructure will work in the new era of complex AI superclusters.

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Ingesan embraces a new way to approach HRM with AI

CIO

We detected the need to modernize our processes, taking advantage of the capabilities offered by AI to improve efficiency, precision, and personalization in our operations,” she says. One of the main ones was ensuring seamless integration of AI technology into its existing systems and processes.

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GitHub Preview of Copilot Workspaces Advances AI Agenda

DevOps.com

GitHub this week made available a formal technical preview of an approach to building software that uses generative artificial intelligence (AI) to complete tasks on behalf of a software engineering team.

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Postman Makes AI Tool for API Management Platform Available

DevOps.com

Postman today generally made available a generative artificial intelligence (AI) tool for its platform for building and managing application programming interfaces (APIs) that automatically creates tests and documentation.

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.

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AI's Offensive & Defensive Impacts

Palo Alto Networks

{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42, with roles in AI research, product management, consulting, engineering and more.

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10 celebri disastri provocati dall’intelligenza artificiale

CIO

Derek Driggs, ricercatore di ML presso l’Università di Cambridge, insieme ai suoi colleghi, ha pubblicato un articolo su Nature Machine Intelligence [in inglese] che esplorava l’uso di modelli deep learning per diagnosticare il virus. La piattaforma assegnava ai candidati una valutazione a stelle da 1 a 5.