AI & Analytics

Generative AI vs Agentic AI: From Creating Content to Taking Action

Analytics Vidhya
Generative AI vs Agentic AI: From Creating Content to Taking Action

Summary

Generative AI is giving way to agentic AI, where technology not only creates content but also takes action.

The shift towards action-oriented AI

Generative AI tools like ChatGPT and Gemini have defined technology over the past two years by producing content. The discussion is now evolving towards agentic AI, systems that not only generate data but also make decisions and take action based on the generated content.

Impact on the BI market

This shift marks an important trend in the business intelligence landscape. While generative AI focused primarily on content creation, agentic AI creates opportunities for automation and decision-making, enabling BI professionals to translate real-time insights into actions effectively. Competitors like IBM and Microsoft are also developing their solutions, indicating a potential acceleration in the adoption of agentic AI.

Key takeaway for BI professionals

For BI professionals, it is essential to keep an eye on the rise of agentic AI and evaluate how these technologies can optimize current processes. Identifying opportunities for automation and action-oriented decision-making will help them remain competitive in a rapidly changing market.

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