SEMINARS AND WORKSHOPS

The Department of Computer Science and Engineering (Data Science) organised a workshop on “Foundations of Agentic AI: Concepts and Business Applications” on 06 March 2026. The session was delivered by Mr Venkat Surendra, Technical Architect at Adobe, who provided deep insights into the emerging paradigm of agentic AI.

He introduced the concept of agentic AI as a shift from traditional “AI as a service” models towards “AI as a collaborator”, capable of autonomous decision-making. The talk covered the fundamentals of autonomy, contextual reasoning, and proactive action as the core pillars that enable AI systems to perceive, decide, and execute tasks independently.

Students gained a clear understanding of how agentic AI enhances efficiency, scalability, and productivity in modern IT environments. The speaker explained real-world applications across IT operations, customer service, supply chain management, cybersecurity, finance, and enterprise automation.

He highlighted how agentic AI predicts failures, detects anomalies, optimises resources, and orchestrates workflows with minimal human intervention. The session emphasised the benefits of adopting agentic AI, including faster incident resolution, improved service reliability, and intelligent decision-making driven by contextual awareness.

At the same time, the challenges of high implementation costs, skill shortages, legacy system integration, and ethical concerns around bias and transparency were critically discussed. Students were encouraged to approach AI adoption responsibly by understanding governance, safety, and accountability factors.

The workshop effectively bridged industry relevance with academic learning, offering practical perspectives on intelligent, collaborative AI systems. Overall, the session inspired learners to explore emerging career paths in AIOps and enterprise automation while preparing them for the future of AI-driven innovation.