Category: AI & Automation


  • 2025 was supposed to be the year of "AI agents," according to Nvidia CEO Jensen Huang, and other AI industry personnel. And it has been, in many ways, with numerous leading AI model providers such as OpenAI, Google, and even Chinese competitors like Alibaba releasing fine-tuned AI models or applications designed to focus on a…

  • Breaking the bottleneck: Why AI demands an SSD-first future

    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…

  • Visa just launched a protocol to secure the AI shopping boom — here’s what it means for merchants

    Visa is introducing a new security framework designed to solve one of the thorniest problems emerging in artificial intelligence-powered commerce: how retailers can tell the difference between legitimate AI shopping assistants and the malicious bots that plague their websites. The payments giant unveiled its Trusted Agent Protocol on Tuesday, establishing what it describes as foundational…

  • Salesforce bets on AI 'agents' to fix what it calls a $7 billion problem in enterprise software

    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…

  • Self-improving language models are becoming reality with MIT's updated SEAL technique

    Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underpinning ChatGPT and most modern AI chatbots — to improve themselves by generating synthetic data to fine-tune upon. The technique, known as SEAL (Self-Adapting LLMs), was first…

  • Researchers find that retraining only small parts of AI models can cut costs and prevent forgetting

    Enterprises often find that when they fine-tune models, one effective approach to making a large language model (LLM) fit for purpose and grounded in data is to have the model lose some of its abilities. After fine-tuning, some models “forget” how to perform certain tasks or other tasks they already learned.  Research from the University…

  • This new AI technique creates ‘digital twin’ consumers, and it could kill the traditional survey industry

    A new research paper quietly published last week outlines a breakthrough method that allows large language models (LLMs) to simulate human consumer behavior with startling accuracy, a development that could reshape the multi-billion-dollar market research industry. The technique promises to create armies of synthetic consumers who can provide not just realistic product ratings, but also…

  • 7 Best Inventory Programs for Small Businesses

    When managing inventory, selecting the right software can greatly influence your business’s efficiency. Various programs cater to different needs, such as Sortly’s user-friendly approach or inFlow Inventory’s advanced B2B features. Comprehending the benefits and unique offerings of each solution helps you make informed decisions. This discussion will explore the top seven inventory programs, their features,…

  • 5 Innovative Employee Training Ideas That Boost Engagement

    Employee training is crucial for enhancing productivity and engagement in the workplace. Innovative methods, such as hands-on workshops, gamification, and multimedia content, can make learning more effective and enjoyable. On-the-job training provides immediate feedback, whereas microlearning offers quick, digestible lessons. These strategies not just improve knowledge retention but likewise encourage collaboration among employees. Comprehending how…

  • Here's what's slowing down your AI strategy — and how to fix it

    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…