The article shares insights from a discussion on agentic AI, reflecting on the evolving conversations surrounding AI in enterprises over the past eight years. Initially, decision-makers were frustrated about how to leverage data effectively. Now, the focus has shifted from merely creating intelligent applications to developing intelligent agents that can interact with and utilize enterprise data more efficiently. The speaker emphasizes the importance of data-driven beliefs as foundational in the journey towards transforming AI capabilities within organizations, underscoring the ongoing challenges they face as technology advances.
Eight years ago, we didn't have a lot of answers regarding AI, with many CIOs questioning how to transition data to intelligent apps. This initiated my quest.
Today, enterprises are keen to understand how to evolve their existing data and AI capabilities from applications to intelligent agents, marking the next frontier in AI.
The enthusiasm around AI, especially with innovations like ChatGPT, is undeniable, yet businesses still grapple with the critical question: how to convert enterprise data into intelligent insights.
Believing in data is essential. Looking back at the trends of transformative technologies like PCs and the internet can help us understand the trajectory of AI adoption.
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