
He set out to build a team tool — but ended up building a review platform for Africa
Drew Houston forgot his USB drive on a bus in 2006 and built Dropbox.

Drew Houston forgot his USB drive on a bus in 2006 and built Dropbox.

The company also moved two previously experimental features — outcomes and multi-agent orchestration — from research preview into public beta, making them broadly available to developers building on the Claude platform. Together, the three features address what Anthropic says are the hardest problems in running AI agents at scale: keeping them accurate, helping them learn, and preventing them from becoming bottlenecks on complex, multi-step work.

Customer relationship management has been a fixture in business software for years. It has also carried a reputation for being tedious. Many platforms depended on constant data entry, rigid fields, and regular cleanup to remain useful.

Big business has found ways to integrate tech for decades. They’ve built increasingly sophisticated digital experiences that often blend seamlessly into in-store experiences.
Deep insights for enterprise AI, data, and security leaders

The product, first announced at Microsoft's Ignite conference in November, positions itself as a unified control plane that lets enterprise IT and security teams observe, govern, and secure AI agents wherever they run: inside Microsoft's own ecosystem, on third-party cloud platforms like AWS Bedrock and Google Cloud, on employee endpoints, and increasingly across a sprawling ecosystem of SaaS agents built by partner software companies.

On its face, the financing is another large AI round in a market still awash in capital. But the deal is more revealing than that. It suggests that a new line is being drawn inside enterprise AI — not between companies that have a chatbot and companies that do not, but between companies that can show AI works in the messy, brittle, heavily governed environments where large businesses actually operate, and those that still mostly shine in demos.

The update is Apple's most significant embrace of AI-assisted software development since introducing intelligence features in Xcode 26 last year, and arrives as "vibe coding" — the practice of delegating software creation to large language models — has become one of the most debated topics in technology.

The release is a pivotal moment for the Paris-based company, which is transitioning its developer tools from a free testing phase to a commercial product integrated with its paid subscription plans. The move comes just days after Mistral CEO Arthur Mensch told Bloomberg Television at the World Economic Forum in Davos that the company expects to cross €1 billion in revenue by the end of 2026 — a projection that would still leave it far behind American competitors but would cement its position as Europe's preeminent AI firm.

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% increase that executives say demonstrates a widening gap between speculative AI hype and deployed enterprise solutions generating measurable returns.

"With volatility now the norm, security and risk leaders need practical guidance on managing existing spending and new budgetary necessities," states Forrester's 2026 Budget Planning Guide, revealing a fundamental shift in how organizations allocate cybersecurity resources.

In the frenzied land rush for generative AI that followed ChatGPT’s debut, the mandate from Intuit's CEO was clear: ship the company's largest, most shocking AI-driven launch by Sept. 2023.

Nvidia reported $46.7 billion in revenue for fiscal Q2 2026 in their earnings announcement and call yesterday, with data center revenue hitting $41.1 billion, up 56% year over year. The company also released guidance for Q3, predicting a $54 billion quarter.

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A new framework from researchers at The University of Hong Kong (HKU) and collaborating institutions provides an open source foundation for creating robust AI agents that can operate computers. The framework, called OpenCUA, includes the tools, data, and recipes for scaling the development of computer-use agents (CUAs).

The enterprise software model was built on siloed apps and integrations, and is beginning to show its age. According to a recent report, the average company now uses more than 100 SaaS applications, each with its own workflows, interfaces, and maintenance needs.