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The most important OpenAI announcement you probably missed at DevDay 2025

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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

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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

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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

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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 »

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

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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 »

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

Leave a Comment / Non classé

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 »

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

Leave a Comment / Non classé

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 »

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

Leave a Comment / Non classé

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 »

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

Leave a Comment / Non classé

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 »

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

Leave a Comment / Non classé

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 »