Data to decisions examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multi-disciplinary approach that combines performance monitoring with traditional business intelligence and analytic technologies. In addition, data-driven decisions are increasingly delivered in the context of business applications rather than in separate, analytic interfaces.
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.
Amazon Web Services launched Kiro, an integrated development environment (IDE) that uses AI agents to move from prompt to prototype to production.
DisrupTV episode 403 takeaways: AI is going to rewrite how businesses operate and enterprises are going to avoid chasing existing markets to create new categories, drop the obsession with transformation and add-on approaches, treat AI as a co-founder and cut the latency from idea to prototype to near zero.
The view from the C-suite is increasingly gloomy as executives navigate policy, inflation and the economy that's a reality show with two-week story arcs. It's hard to plan when your conditions change every other day. Yet, technology companies--including a few that barely have revenue--live in a world full of unicorns and rainbows.
Christopher Lochhead and Sunil Karkera on the market myths, mindset shifts, and the future of AI-native business.
Apple needs to jump start its AI strategy and the only way it's going to get there is through acquisitions. Here's why a purchase of Perplexity makes sense and why Apple may want to keep shopping.
