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Agentic AI: Revolutionizing Automation with AWS

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Manage episode 468373171 series 3648424
Content provided by Business Compass LLC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Business Compass LLC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Agentic AI: Revolutionizing Automation with AWS

Agentic AI is an emerging paradigm in artificial intelligence where models exhibit autonomous decision-making, goal-setting, and problem-solving capabilities. Unlike traditional AI, which relies on predefined prompts and responses, agentic AI can proactively initiate actions, refine strategies, and adapt dynamically to changing environments. This enables businesses to automate complex workflows, enhance efficiency, and achieve new levels of innovation.

Key Components of Agentic AI
  1. Autonomous Agents: AI models that can perform tasks without human intervention.
  2. Goal-Oriented Learning: The ability to break down complex objectives into actionable steps.
  3. Adaptive Decision-Making: The capability to adjust strategies based on real-time data.
  4. Multi-Agent Collaboration: Coordination between multiple AI agents to achieve a common goal.
  5. Integration with Cloud Infrastructure: Leveraging cloud computing for scalability and deployment.

https://businesscompassllc.com/genai/

  continue reading

37 episodes

Artwork
iconShare
 
Manage episode 468373171 series 3648424
Content provided by Business Compass LLC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Business Compass LLC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Agentic AI: Revolutionizing Automation with AWS

Agentic AI is an emerging paradigm in artificial intelligence where models exhibit autonomous decision-making, goal-setting, and problem-solving capabilities. Unlike traditional AI, which relies on predefined prompts and responses, agentic AI can proactively initiate actions, refine strategies, and adapt dynamically to changing environments. This enables businesses to automate complex workflows, enhance efficiency, and achieve new levels of innovation.

Key Components of Agentic AI
  1. Autonomous Agents: AI models that can perform tasks without human intervention.
  2. Goal-Oriented Learning: The ability to break down complex objectives into actionable steps.
  3. Adaptive Decision-Making: The capability to adjust strategies based on real-time data.
  4. Multi-Agent Collaboration: Coordination between multiple AI agents to achieve a common goal.
  5. Integration with Cloud Infrastructure: Leveraging cloud computing for scalability and deployment.

https://businesscompassllc.com/genai/

  continue reading

37 episodes

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