Fidji Simo, incoming CEO of Applications at OpenAI and Instacart CEO, penned her first missive and laid out an optimistic vision for AI.
Verizon has rolled out AI customer experiences and is betting that the move will win accounts in a hotly contested wireless services market. The company announced a partnership with Google Cloud in April to deliver AI experiences with Gemini models and Verizon went live June 24.
Large language models (LLMs) have reached the phase where advances are incremental as they quickly become commodities. Simply put, it's the age of good enough LLMs where the innovation will come from orchestrating them and customizing them for use cases. That's great news for enterprises.
Systems integrators and services companies are launching AI agents, releasing frameworks and trying to help enterprises build multi-agent systems. The big question is whether AI agents turn out to be a boon or a bust for systems integrators in the long run.
Delta Air Lines is pricing about 3% of its domestic fares with an artificial intelligence system and plans to get to 20% by the end of 2025.
There’s a method to AWS' meat-and-potatoes focus on agentic AI and fundamentals: Enterprise adoption of AI agents will trail the technology advances and vendor marketing speak. AWS is meeting customers where they are right now.
Zoho has launched its own large language model called Zia LLM, 40 pre-built Zia Agents, a no-code agent builder with Zia Agent Studio and a model context protocol (MCP) server that will connect its AI actions with third-party agents. The combination means Zoho is looking to democratize and differentiate with an AI strategy that revolves around developing its own right-sized models, optimizing and passing on the savings to customers.
Intuit's Chief Data Officer Ashok Srivastava Ph. D said the company is now deploying AI agents across its platform, GenOS and products.
AWS is aiming to be the best place to build and run AI agents that can carry out tasks with minimal human involvement. AWS is also looking to give enterprise customers tools that can give them stability in a rapidly changing AI environment.
Anthropic is best known for its Claude large language model (LLM), but its enterprise software ambitions are clear as the company builds out its go-to-market team.
The US Department of Defense has awarded contracts to Anthropic, Google, OpenAI and xAI with a ceiling of $200 million to each vendor to leverage AI models for national security.
Amazon Web Services launched Kiro, an integrated development environment (IDE) that uses AI agents to move from prompt to prototype to production.
