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Have we reached the end of ‘too expensive’ for enterprise software?

CIO

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. While useful, these tools offer diminishing value due to a lack of innovation or differentiation. This will fundamentally change both UI design and the way software is used.

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Integrate foundation models into your code with Amazon Bedrock

AWS Machine Learning - AI

In this post, we explore how to integrate Amazon Bedrock FMs into your code base, enabling you to build powerful AI-driven applications with ease. For this post, we run the code in a Jupyter notebook within VS Code and use Python. This client will serve as the entry point for interacting with Amazon Bedrock FMs.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize their growing cloud environments. This time efficiency translates to significant cost savings and optimized resource allocation in the review process.

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Levity is a ‘no-code’ AI tool to let anyone create workflow automations

TechCrunch

Levity , which has been operating in stealth (until now), is the latest no-code company to throw its wares into the ring, having picked up $1.7M Typical repetitive tasks that can be automated includes reviewing and categorizing documents, images, or text. This, of course, is where machine learning come into play. “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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Are you ready for MLOps? 🫵

Xebia

The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. Why is that? … that does not make things easier.

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Weights & Biases raises $135M Series C to keep building MLOps software

TechCrunch

ML, or machine learning, is a big market today. In product terms, Weights & Biases plays in the “MLOps” space, or the machine learning operations market. According to Weights & Biases co-founder Lukas Biewald , the software world has a set of tools built for developers to write and deploy code well.