The new capabilities, called App Builder and Workflows, mark Microsoft's most aggressive attempt yet to merge artificial intelligence with software development, enabling the estimated 100 million Microsoft 365 users to create business tools as easily as they currently draft emails or build spreadsheets.
The problem, according to Habib, isn't the technology. It's that business leaders are making a category error, treating AI transformation like previous technology rollouts and delegating it to IT departments. This approach, she warned, has led to "billions of dollars spent on AI initiatives that are going nowhere."
China is on track to dominate consumer artificial intelligence applications and robotics manufacturing within years, but the United States will maintain its substantial lead in enterprise AI adoption and cutting-edge research, according to Kai-Fu Lee, one of the world's most prominent AI scientists and investors.
The feature, called Skills, enables users to create folders containing instructions, code scripts, and reference materials that Claude can automatically load when relevant to a task. The system marks a fundamental shift in how organizations can customize AI assistants, moving beyond one-off prompts to reusable packages of domain expertise that work consistently across an entire company.
Deep insights for enterprise AI, data, and security leaders
One year after emerging from stealth, Strella has raised $14 million in Series A funding to expand its AI-powered customer research platform, the company announced Thursday. The round, led by Bessemer Venture Partners with participation from Decibel Partners, Bain Future Back Ventures, MVP Ventures and 645 Ventures, comes as enterprises increasingly turn to artificial intelligence to understand customers faster and more deeply than traditional methods allow.
As 50,000 attendees descend on Salesforce's Dreamforce conference this week, the enterprise software giant is making its most aggressive bet yet on artificial intelligence agents, positioning itself as the antidote to what it calls an industry-wide "pilot purgatory" where 95% of enterprise AI projects never reach production.
The San Francisco-based company has developed AI agents specifically trained to handle end-to-end ServiceNow implementations — complex enterprise software deployments that traditionally require months of work by offshore consulting teams and cost companies millions of dollars annually.
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 engineer. This release signals a profound shift in how software—and by extension, modern business—is built.
The company announced Wednesday that its new real-time search API and Model Context Protocol server will give third-party developers secure, permission-aware access to Slack's vast troves of workplace conversations, messages, and files. The move assumes that conversational data—the informal discussions, decisions, and institutional knowledge that accumulates in workplace chat—will become the fuel that makes AI agents truly useful rather than generic.
The round was led by Nat Friedman and Daniel Gross of NFDG, with participation from Menlo Ventures and Anthropic's Anthology Fund. The San Francisco-based company has attracted users from hundreds of companies including Google, Uber, DoorDash, Tesla, Salesforce, and Reddit in just two months since launching.
The Open Semantic Interchange (OSI) initiative brings together fierce competitors who have concluded that inconsistent data definitions across enterprise systems block AI scalability. The effort includes backing from BlackRock and participation from companies including Alation, Atlan, Blue Yonder, Cube, Hex, Honeydew, Mistral AI, Omni, RelationalAI, Select Star, Sigma, and ThoughtSpot. Together, they will establish the first vendor-neutral specification for semantic metadata — a Rosetta Stone for business data.
Generative AI is moving so fast since the blockbuster release of ChatGPT in November 2022 that even one of its creators — OpenAI — admits it’s hard to keep up. That’s the premise of a new report the company released today, Staying Ahead in the Age of AI: A Leadership Guide, which distills lessons from OpenAI's work with large, recognizable enterprises including pharma giant Moderna, cosmetics signature Estée Lauder, Notion, and multinational banking/financial services firm BBVA.