Leveling Up Generative AI

Explore how to stay ahead of the curve in generative AI—from mastering prompt engineering to advanced model tuning. Our experts will discuss why understanding the human-like behaviors of AI models, shaped by data, experience, and context, is essential to aligning outputs with business goals. We also break down the stages of AI maturity, from boosting internal productivity to deploying agentic AI for hyper-personalized customer experiences. Plus, we dive into how to innovate responsibly with AI oversight, continuous training, and safeguards for customer-facing use cases. Finally, we share practical insights on integrating APIs, RAG, and Model Context Protocols (MCP) to build smarter, more transformative AI assistants.

What you’ll learn in this webinar:

• How to stay ahead of the curve by embracing the evolution of generative AI, from prompt engineering to advanced model tuning.
• Why understanding the human-like behaviors of AI models—influenced by experience, data, and context—is key to aligning outputs with business goals.
• A breakdown of the levels of AI utilization, from internal productivity gains to full-scale agentic AI delivering hyper-personalized customer interactions.
• How to balance innovation with responsibility by implementing AI oversight, continuous training, and safeguards for customer-facing use cases.
• Practical insights into integrating APIs, RAG, and Model Context Protocols (MCP) to train smarter AI assistants and unlock AI’s full transformative potential.