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Most scientific data never reach their full potential to drive new discoveries. Out of every 100 datasets produced, about 80 stay within the lab, 20 are shared but seldom reused, fewer than two meet FAIR standards, and only one typically leads to new findings. The consequences are significant: slower progress in cancer treatment, climate models […]

As 50,000 attendees descend on Salesforce's Dreamforce conference this week, the enterprise software giant is making its most aggressive bet yet on artificial intelligence agents, positioning itself as the antidote to what it calls an industry-wide "pilot purgatory" where 95% of enterprise AI projects never reach production. The company on Monday launched Agentforce 360, a

Salesforce announced Monday the latest version of its AI agent platform as the company looks to lure enterprises to its AI software in an increasingly crowded market. The customer relations manager giant unveiled the new platform, branded Agentforce 360, ahead of its annual Dreamforce customer conference that kicks off October 14. This newer version of

Presented by Solidigm As AI adoption surges, data centers face a critical bottleneck in storage — and traditional HDDs are at the center of it. Data that once sat idle as cold archives is now being pulled into frequent use to build more accurate models and deliver better inference results. This shift from cold data

Imagine you do two things on a Monday morning. First, you ask a chatbot to summarize your new emails. Next, you ask an AI tool to figure out why your top competitor grew so fast last quarter. The AI silently gets to work. It scours financial reports, news articles and social media sentiment. It cross-references

No company has capitalized on the AI revolution more dramatically than Nvidia. Its revenue, profitability, and cash reserves have skyrocketed since the introduction of ChatGPT over two years ago — and the many competitive generative AI services that have launched since. Its stock price has soared, making it a $4.5 trillion market cap company.  The

Your best data science team just spent six months building a model that predicts customer churn with 90% accuracy. It’s sitting on a server, unused. Why? Because it’s been stuck in a risk review queue for a very long period of time, waiting for a committee that doesn’t understand stochastic models to sign off. This

Thinking Machines Lab, the AI startup led by former OpenAI CTO Mira Murati, has lost one of its co-founders to Meta. The Wall Street Journal reportsthat AI researcher Andrew Tulloch announced his departure to employees in a message on Friday. A Thinking Machine Labs spokesperson confirmed Tulloch’s departure to the WSJ, saying he “has decided

AI tools are revolutionizing software development by automating repetitive tasks, refactoring bloated code, and identifying bugs in real-time. Developers can now generate well-structured code from plain language prompts, saving hours of manual effort. These tools learn from vast codebases, offering context-aware recommendations that enhance productivity and reduce errors. Rather than starting from scratch, engineers can

This has been a big week for AI companies signing enterprise deals, withZendesk unveiling new AI agentsthat are supposed to be able to resolve 80% of customer service issues,Anthropic and IBM announcing a strategic partnership, and Deloitte alsoannouncing a deal with Anthropic. Plus,Google announced a new AI-for-business platform. That doesn’t mean it’s going to be