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Agentic AI Is Key To Unlocking Real, Scalable Impact Across Enterprises, Says IBM’s Siddhesh Naik
- Agentic AI, a strategic technology trend, is forecasted to autonomously resolve 80% of common customer service issues by 2029, saving 30% in operational costs.
- Agentic AI, unlike traditional AI like chatbots, is goal-driven, capable of planning, acting, reflecting, and improving over time, enhancing enterprise scalability.
- Examples of agentic AI benefits include hyper-personalized product recommendations in retail, real-time risk monitoring in banking, and lead qualification in sales for improved productivity.
- IBM leverages agentic AI to create the 'agentic enterprise,' embedding AI agents to enhance autonomy and efficiency across various tools and systems.
- Security considerations for agentic AI involve securing APIs, preventing adversarial attacks, maintaining transparency, and addressing ethical challenges for responsible deployment.
- IBM addresses ethical concerns through AI sandboxing, governance agents, stress testing, and specialized metrics in watsonx.governance for responsible AI performance.
- The future of AI lies in agentic systems, offering scalable impact for enterprises by combining generative AI, automation, real-time data integration, and ethical governance.
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