Agentic AI is equally as daunting as it is dynamic. So…… how do you not screw it up? 

After all, the more robust and complex agentic AI becomes, the more room there is for error. 

Luckily, we’ve got Dr. Maryam Ashoori to guide our agentic ways. 

Maryam is the Senior Director of Product Management of watsonx at IBM. She joined us at IBM Think 2025 to break down agentic AI done right. 

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Topics Covered in This Episode:

1. Agentic AI Benefits for Enterprises
2. Watson X's New Features & Announcements
3. AI-Powered Enterprise Solutions at IBM
4. Responsible Implementation of Agentic AI
5. LLMs in Enterprise Cost Optimization
6. Deployment and Scalability Enhancements
7. AI's Impact on Developer Productivity
8. Problem-Solving with Agentic AI

Timestamps:
00:00 AI Agents: A Business Imperative

06:14 "Optimizing Enterprise Agent Strategy"

09:15 Enterprise Leaders' AI Mindset Shift

09:58 Focus on Problem-Solving with Technology

13:34 "Boost Business with LLMs"

16:48 "Understanding and Managing AI Risks"

Keywords:
Agentic AI, AI agents, Agent lifecycle, LLMs taking actions, WatsonX.ai, Product management, IBM Think conference, Business leaders, Enterprise productivity, WatsonX platform, Custom AI solutions, Environmental Intelligence Suite, Granite Code models, AI-powered code assistant, Customer challenges, Responsible AI implementation, Transparency and traceability, Observability, Optimization, Larger compute, Cost performance optimization, Chain of thought reasoning, Inference time scaling, Deployment service, Scalability of enterprise, Access control, Security requirements, Non-technical users, AI-assisted coding, Developer time-saving, Function calling, Tool calling, Enterprise data integration, Solving enterprise problems, Responsible implementation, Human in the loop, Automation, IBM savings, Risk assessment, Empowering workforce.

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