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AI Agents: The Agentic AI Future with Salesforce's Manjeet Singh

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Manage episode 466763576 series 3203753
Content provided by Arun Trivedi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arun Trivedi 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://ppacc.player.fm/legal.

The podcast captures a conversation with Manjeet Singh, a product executive at Salesforce, discussing AI agents. He defines AI agents as software performing tasks on your behalf, differentiating them from traditional chatbots by their autonomous decision-making capabilities. Singh elaborates on the use of large language models (LLMs) as the "brains" behind AI agents, enabling complex reasoning and problem-solving. He offers CRM-focused use cases in sales and customer service, explaining how agents streamline processes like lead qualification and personalized customer interactions. The conversation also explores the future of AI agents, including single versus multi-agent systems, workforce dynamics, ethical considerations, and the impact of AI on various industries.

  continue reading

60 episodes

Artwork
iconShare
 
Manage episode 466763576 series 3203753
Content provided by Arun Trivedi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arun Trivedi 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://ppacc.player.fm/legal.

The podcast captures a conversation with Manjeet Singh, a product executive at Salesforce, discussing AI agents. He defines AI agents as software performing tasks on your behalf, differentiating them from traditional chatbots by their autonomous decision-making capabilities. Singh elaborates on the use of large language models (LLMs) as the "brains" behind AI agents, enabling complex reasoning and problem-solving. He offers CRM-focused use cases in sales and customer service, explaining how agents streamline processes like lead qualification and personalized customer interactions. The conversation also explores the future of AI agents, including single versus multi-agent systems, workforce dynamics, ethical considerations, and the impact of AI on various industries.

  continue reading

60 episodes

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