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Weaponized AI can dismantle patches in 72 hours — but Ivanti’s kernel defense can help

Adversaries from cybercrime gangs to nation-state cyberattack squads are fine-tuning weaponized AI with the goal of defeating new patches in 3 days or less. The quicker the attack, the more time to explore a victim’s network, exfiltrate data, install ransomware or set up reconnaissance that will last for months or years. Traditional, manual patching is …

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Nvidia researchers boost LLMs reasoning skills by getting them to ‘think’ during pre-training

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates RL into the initial training phase rather than saving it for the end. This approach encourages the model to “think for itself before predicting what comes …

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Capturing the trillion dollar opportunity with autonomous professional services

Presented by Certinia Every professional services leader knows the feeling: a pipeline full of promising deals, but a bench that’s already stretched thin. That’s because growth has always been tied to a finite supply of consultants with finite availability to work on projects. Even with strong market demand, most firms only capture 10-20% of their …

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The next AI battleground: Google’s Gemini Enterprise and AWS’s Quick Suite bring full-stack, in-context AI to the workplace

The friction of having to open a separate chat window to prompt an agent could be a hassle for many enterprises. And AI companies are seeing an opportunity to bring more and more AI services into one platform, even integrating into where employees do their work.  OpenAI’s ChatGPT, although still a separate window, is gradually …

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Zendesk launches new AI capabilities for the Resolution Platform, creating the ultimate service experience for all

Presented by Zendesk Zendesk powers nearly 5 billion resolutions every year for over 100,000 customers around the world, with about 20,000 of its customers (and growing) using its AI services. Zendesk is poised to generate about $200 million in AI-related revenue this year, double than some of its largest competitors, while investing $400 million dollars …

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The most important OpenAI announcement you probably missed at DevDay 2025

OpenAI’s annual developer conference on Monday was a spectacle of ambitious AI product launches, from an app store for ChatGPT to a stunning video-generation API that brought creative concepts to life. But for the enterprises and technical leaders watching closely, the most consequential announcement was the quiet general availability of Codex, the company’s AI software …

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Echelon’s AI agents take aim at Accenture and Deloitte consulting models

Echelon, an artificial intelligence startup that automates enterprise software implementations, emerged from stealth mode today with $4.75 million in seed funding led by Bain Capital Ventures, targeting a fundamental shift in how companies deploy and maintain critical business systems. The San Francisco-based company has developed AI agents specifically trained to handle end-to-end ServiceNow implementations — …

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Together AI’s ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can’t keep up with shifting workloads. Speculators are smaller AI models that work alongside large language models during inference. They draft multiple tokens ahead, which the main model then verifies in parallel. This technique (called speculative decoding) has become essential …

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What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

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What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI

Check your research, MIT: 95% of AI projects aren’t failing — far from it. According to new data from G2, nearly 60% of companies already have AI agents in production, and fewer than 2% actually fail once deployed. That paints a very different picture from recent academic forecasts suggesting widespread AI project stagnation. As one …

What MIT got wrong about AI agents: New G2 data shows they’re already driving enterprise ROI Read More »