As we head toward 2025, the AI landscape is shifting from simple chatbot interfaces to highly autonomous, multi-agent systems. For Chief Technology Officers (CTOs) and technology leaders, staying ahead requires understanding not just the models, but the infrastructure, security, and orchestrations that make AI viable at scale.
In this upcoming webinar, Dr. Rupesh Chandra will break down the structural changes expected in next-generation generative AI models. We will discuss why raw parameter scaling is yielding to agentic scaling, and how businesses can design their systems to leverage these workflows effectively without incurring runaway cloud costs.
We will also cover critical governance themes. As models process increasingly sensitive corporate data, securing vector databases, setting up prompt-guard gates, and structuring clean audit trails become essential requirements. The session will conclude with a practical model to measure AI implementation ROI.