Despite lots of hype, "voice AI" has so far largely been a euphemism for a request-response loop. You speak, a cloud server transcribes your words, a language model thinks, and a robotic voice reads the text back. Functional, but not really conversational. That all changed in the past week with a rapid succession of powerful, fast, and more capable voice AI model releases from Nvidia, Inworld, FlashLabs, and Alibaba's Qwen team, combined with a massive talent acquisition and tech licensing deal by Google DeepMind and Hume AI.Now, the industry has effectively solved the four "impossible" problems of voice computing: latency, fluidity, efficiency, and emotion.For enterprise builders, the implications are immediate. We have moved from the era of "chatbots that sp [...]
Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]
The enterprise voice AI market is in the middle of a land grab. ElevenLabs and IBM announced a collaboration just this week to bring premium voice capabilities into IBM's watsonx Orchestrate plat [...]
Active Directory, LDAP, and early PAM were built for humans. AI agents and machines were the exception. Today, they outnumber people 82 to 1, and that human-first identity model is breaking down at ma [...]
In the race to deploy generative AI for coding, the fastest tools are not winning enterprise deals. A new VentureBeat analysis, combining a comprehensive survey of 86 engineering teams with our own ha [...]
Voice AI is moving faster than the tools we use to measure it. Every major AI lab — OpenAI, Google DeepMind, Anthropic, xAI — is racing to ship voice models capable of natural, real-time conversat [...]
Unrelenting, persistent attacks on frontier models make them fail, with the patterns of failure varying by model and developer. Red teaming shows that it’s not the sophisticated, complex attacks tha [...]
For the past year, the enterprise AI community has been locked in a debate about how much freedom to give AI agents. Too little, and you get expensive workflow automation that barely justifies the &qu [...]
While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new customers in a single quarter — a 48% [...]