"Enterprise AI is entering a more mature phase. Raw capability still matters, but it is no longer enough. Customers want fit: how well AI plugs into their workflows, knowledge, controls, and day-to-day operations, and how effectively it can be deployed, trusted, and improved over time."
"We are building that system: the best models for work, a platform for agents, deep integration with business context, and the ability to deploy and improve at scale. And customers are validating that direction in the clearest possible way."
"The opportunity ahead is massive, and our biggest constraint right now is not demand. It is capacity. That is why talent remains a top priority in Q2. We will keep hiring deliberately, keep the bar high, and keep building a team that matches the excellence our customers expect from us."
As Q2 begins, customer engagement reveals a strong desire for deeper insights into AI roadmaps. Enterprise AI is maturing, with customers prioritizing how well AI integrates into their workflows and operations. Trust and scalability are essential for customers. The company is focused on building a robust system with high-quality models and deep business integration. There is significant demand, evidenced by large multi-year deals and expanding customer relationships. Talent acquisition remains a priority to meet this growing demand and maintain excellence.
Read at The Verge
Unable to calculate read time
Collection
[
|
...
]