website: https://dataplatr.com/blog/age....ntic-ai-use-cases?ut

Artificial Intelligence is growing smarter and more capable. With agentic AI, machines don’t just wait for commands anymore. They take action on their own, choose what to do next, and complete tasks across different tools and systems. This shift is helping businesses work faster and more efficiently.

Discover how Agentic Al is transforming finance, call centers, healthcare, manufacturing, and IT with real-world use cases and practical examples.

Website : https://dataplatr.com/blog/wha....t-is-agentic-ai?utm_

What is Agentic AI?

When people ask, “What is Agentic AI?”, the answer lies in its autonomy. Unlike rule-based systems or generative AI (which creates content), Agentic AI analyzes data, learns dynamically, and makes decisions without human intervention. For instance, while AI in automation might streamline workflows, Agentic AI goes further—predicting risks, personalizing customer interactions, and executing actions in real time.

Website: https://dataplatr.com/blog/gen....erative-ai-in-data-a

What is Generative AI in Data Analytics?
Generative AI refers to artificial intelligence systems that create new and original data by analyzing and learning patterns from vast datasets. Unlike traditional AI, which primarily processes and classifies information, generative AI can synthesize new insights, automate report generation, and provide contextual data-driven recommendations.

What is Agentic AI Architecture

Website: https://dataplatr.com/blog/age....ntic-ai-architecture

Agentic AI architecture allows AI systems to set objectives, make choices, and take action without constant guidance, instead of being told what to do every step of the way.
In agentic AI architecture, the system perceives its environment, plans its next steps, remembers past experiences, and executes tasks, all with minimal human input. This makes the AI more goal-driven and adaptable.

Importance of Data Analytics

Website : https://dataplatr.com/blog/imp....ortance-of-data-anal

The importance of data analytics in today’s business world cannot be overstated. Every second, companies generate vast amounts of data, but without proper analysis, it remains just raw information. By leveraging data analytics, businesses can uncover valuable insights that drive growth, efficiency, and customer satisfaction.