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Reading Time: 5 minutesWe often imagine intelligence as the ability to answer questions, but perhaps it is both simpler and more demanding. Before intelligence can answer a question, it must first understand the world in which that question makes sense. A child hearing…
Reading Time: 3 minutesAgentic AI is making headlines, but research shows mixed results for enterprises today, with some sources finding that only 14% have brought agentic AI into production. Why the discrepancy between promise and reality? Many organizations are just not set up…
Reading Time: 8 minutesThis is a version of a post that was originally published on LinkedIn. Agentic AI has a big problem. Not a model problem. Not a prompt engineering problem. Not an agent framework problem. But a data problem. As organizations race…
Reading Time: 5 minutesIn short: Denodo delivers the AI data orchestration foundational layer: the infrastructure that determines what enterprise data every AI application and agent can access, trust, and act on, and it automates the delivery of that data. It dynamically connects, contextualizes,…
Reading Time: 4 minutesAs enterprise AI evolves from assistants that answer questions to agents that plan, retrieve information, call tools, validate results, and take action, token economics become more complicated, and therefore more important to manage. A conventional chatbot might process a prompt…
Reading Time: 3 minutesThis is the last post in my four-part series about AI transformation. The third covered the role of the AI team, the second covered the role of the data team, and the first covered the core ingredient of trust. For…
Reading Time: 2 minutesThis is the third post in my four-part series about AI transformation. The second covered the role of the data team, and the first covered trust. AI innovation is happening at an extraordinary pace. New models, frameworks, and tools are…
Reading Time: 2 minutesThe world of enterprise AI is entering a new phase—one defined not just by chatbots or single-step actions, but by intelligent agents capable of planning, reasoning, and taking action. This shift, from generative AI (GenAI) to agentic AI, represents a…
Reading Time: 3 minutesIn today’s fast-paced, data-driven world, organizations are always looking for new ways to make the most of their data while keeping it accessible, secure, and cost-effective. That’s where combining a logical data abstraction layer with Snowflake’s powerful data capabilities comes…
Reading Time: 2 minutesGenerative AI is rapidly transforming the data landscape, making it more important than ever to understand how to leverage this advanced technology into your organization. That’s why we created this series of posts exploring the powerful combination of data fabric,…
