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Agentic AI is gaining traction as major tech companies unveil new platforms. Salesforce's Agentforce, ServiceNow's Xanadu, Workday's AI agents, and Oracle's role-based AI agents exemplify this trend. The technology promises to enhance automation and decision-making across various business functions.
Despite the excitement, the definition of agentic AI remains unclear, and enterprises must approach its implementation thoughtfully. The article emphasizes the need for a robust AI-native architecture and integration with existing systems to fully leverage agentic AI's capabilities. A strategic focus on autonomy and deep reasoning will be essential for organizations to realize the potential benefits.
• Agentic AI is characterized by autonomy and real-time decision-making.
• Salesforce predicts one billion AI agents will exist by 2026.
Agentic AI refers to systems that autonomously initiate and complete tasks with minimal human supervision.
Generative AI is effective for content generation but lacks the ability to take direct actions.
LLMs are foundational AI models that struggle with complex reasoning and direct actions.
Salesforce's Agentforce provides AI-powered conversational agents for CRM and marketing.
ServiceNow's Xanadu automates customer service and IT workflows using agentic AI.
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