Presented by ZendeskZendesk 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 in R...
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 introducing more integrations into its platform. Rivals like Google and...
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 of the world’s largest crowdsourced software review platforms, G2’...
The same connectivity that made Anthropic's Model Context Protocol (MCP) the fastest-adopted AI integration standard in 2025 has created enterprise cybersecurity's most dangerous blind spot. Recent research from Pynt quantifies the growing threat in clear, unambiguous terms. Their analysis exposes the startling network effect of vulnerabilities that escalate the more MCP plugins are used....
Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a memory bank, helping them get better at complex tasks over time.The framework, called ReasoningBank, distills “generalizable reasoning strategies” from an agent’s successful and failed attempts to...
Many organizations would be hesitant to overhaul their tech stack and start from scratch.
Not Notion.
For the 3.0 version of its productivity software (released in September), the company didn’t hesitate to rebuild from the ground up; they recognized that it was necessary, in fact, to support agentic AI at enterprise scale.
Whereas traditional AI-powered workflows involve explicit, step-by-...
In a packed theater at Fort Mason, after a whirlwind keynote of product announcements, OpenAI CEO Sam Altman sat down with Sir Jony Ive, the legendary designer behind Apple's most iconic products. The conversation, held exclusively for the 1,500 developers in attendance and not part of the public livestream, offered the clearest glimpse yet into the philosophy and ambition behind their secretive...
The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement.Alexia Jolicoeur-Martineau, Senior AI Researcher at Samsung's Advanced Institute of Technology (SAIT) in Montreal, Canada, has introduced the Tiny Recursion Model (TRM) — a neural network so small it contains...
The latest addition to the small model wave for enterprises comes from AI21 Labs, which is betting that bringing models to devices will free up traffic in data centers. AI21’s Jamba Reasoning 3B, a “tiny” open-source model that can run extended reasoning, code generation and respond based on ground truth. Jamba Reasoning 3B handles more than 250,000 tokens and can run inference on edge devices. ...
In a packed hall at Fort Mason Center in San Francisco, against a backdrop of the Golden Gate Bridge, OpenAI CEO Sam Altman laid out a bold vision to remake the digital world. The company that brought generative AI to the mainstream with a simple chatbot is now building the foundations for its next act: a comprehensive computing platform designed to move beyond the screen and browser, with...