Presented by CelonisAfter a year of boardroom declarations about “AI transformation,” this was the week where enterprise leaders came together to talk about what actually works. Speaking from the stage at Celosphere in Munich, Celonis co-founder and co-CEO Alexander Rinke set the tone early in his keynote:“Only 11 % of companies are seeing measurable benefits from AI projects today,” he said. “That’s not an adoption problem. That’s a context problem.”It’s a sentiment familiar to anyone who’s tried to deploy AI inside a large enterprise. You can’t automate what you don’t understand — and most organizations still lack a unified picture of how work in their companies really gets done.Celonis’ answer, showcased across three days at the company’s annual event, was [...]
For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and [...]
Presented by CelonisAI adoption is accelerating, but results often lag expectations. And enterprise leaders are under pressure to prove measurable ROI from the AI solutions — especially as the use o [...]
Presented by CelonisWhen tariff rates change overnight, companies have 48 hours to model alternatives and act before competitors secure the best options. At Celosphere 2025 in Munich, enterprises demo [...]
Facebook and Instagram parent company Meta’s agreement to acquire Manus for more than $2 billion — announced last night by both companies and reported in The Wall Street Journal — marks one of t [...]
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 [...]
Web infrastructure giant Cloudlflare is seeking to transform the way enterprises deploy AI agents with the open beta release of Dynamic Workers, a new lightweight, isolate-based sandboxing system that [...]
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 [...]
Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up dynam [...]