Large language models hallucinating non-existent developer packages could fuel supply chain attacks

Large Language Models (LLMs) have a serious “package hallucination” problem that could lead to a wave of maliciously-coded packages in the supply chain, researchers have discovered in one of the largest and most in-depth ever studies to investigate the problem. It’s so bad, in fact, that across 30 different tests, the researchers found that 440,445…

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Zenlytic’s $9 Million Funding Round Aims to Transform Data Analytics for Non-Technical Users

Zenlytic, a fast-emerging self-service business intelligence (BI) platform, has announced the successful closure of a $9 million early-stage funding round.  Funds from this Series A round will be used to fuel its ambitions of bringing artificial intelligence-powered BI to every office worker. This investment will support the company’s growth by enhancing its platform capabilities and…

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Zenlytic’s $9 Million Funding Round Aims to Transform Data Analytics for Non-Technical Users

Zenlytic, a fast-emerging self-service business intelligence (BI) platform, has announced the successful closure of a $9 million early-stage funding round.  Funds from this Series A round will be used to fuel its ambitions of bringing artificial intelligence-powered BI to every office worker. This investment will support the company’s growth by enhancing its platform capabilities and…

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Explained: How Salesforce Agentforce’s Atlas reasoning engine works to power AI agents

Salesforce’s recently launched Agentforce suite of low-code tools is betting on a human-like reasoning engine called Atlas that could be a game-changer in building AI agents. What that essentially means is that this engine makes the AI agents created via Agentforce autonomous or in other words allows them to think like human beings and take…

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How to succeed with Kubernetes

Kubernetes, the open source orchestration platform for automating the deployment and management of containerized workloads and services, continues to gain popularity. Maintained by a worldwide community of contributors, the platform’s potential benefits include increased resource efficiency, improved scalability, and high availability. “In the past few years, Kubernetes and related cloud-native technologies have become the reference…

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Crescendo makes AI boring—and profitable

There’s money in AI, but not where you think. Sure, Nvidia and the clouds are cleaning up, but they’re primarily selling to enterprises that are mostly kicking tires, not running mission-critical AI applications. Others, like the Financial Times, suggest that AI startups are cleaning up but, again, this could simply be a matter of reselling…

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6 ways to apply automation in devsecops

The goal of devsecops is to integrate security throughout the software development life cycle. To do this, the security team can’t focus on just the most obvious software development vulnerabilities or just the processes that are the easiest to secure. Instead, every step of the end-to-end development life cycle needs to be understood and properly…

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Microsoft gives enterprises new reasons to adopt Fabric

Microsoft is working to make its cloud-based Fabric combined offering of data warehousing, data science, data engineering, and data analytics services more attractive, previewing a host of new features at its first annual European Microsoft Fabric Community Conference last week. Fabric, released in May 2023, brings together six “workloads”: Data Factory, Data Engineering, Data Warehouse, Data…

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AAA Webinar: Intelligent Automation with AI

Download the slides here>> About the Webinar In this webinar, we discuss the best practices for automating repetitive tasks with AI and automation platforms. We will learn how to design and integrate AI and automation components, how to optimize and monitor their efficiency and effectiveness, and how to handle exceptions and errors. About the Speaker…

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Microsoft adds safety tools to Azure AI Studio

Now that the initial euphoria about generative AI’s capabilities has worn off, reality is setting in: Large language models without appropriate safeguards can be remarkably naïve and are all too willing to share all they know. That exposes applications built on them, and enterprises using them, to risks including hacking and lawsuits for copyright infringment….

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