GenAI and Agentic AI in Indian IT for development and support work

Date: 12th Sept 2025

Time: 10 AM – 12:00 PM

Venue: Jyothy Institute of Technology-Auditorium

Audience: 7th Semester ISE Students

The Evolution of AI in Indian IT

Introduction to AI in Indian IT

Dr. Nagaraju began by tracing the evolution of Artificial Intelligence (AI) in the Indian IT industry, emphasizing its transformative impact on development and support functions. He highlighted how AI has progressed from rule-based systems to more sophisticated forms, enabling businesses to automate complex tasks and enhance decision-making processes.

Generative AI (GenAI): The Creative Force

Dr. Nagaraju introduced Generative AI as a pivotal technology in the modern IT landscape. He explained that GenAI refers to AI systems capable of generating new content—such as text, images, and videos—by learning patterns from existing data. In the context of CME, he illustrated how GenAI is revolutionizing content creation, enabling personalized media experiences, and streamlining content production workflows.

Agentic AI: Autonomous Decision-Making

Shifting focus, Dr. Nagaraju delved into Agentic AI, describing it as a class of AI that not only provides insights but also autonomously takes actions to achieve predefined goals. Unlike traditional AI, which relies heavily on human input, Agentic AI systems can make decisions, plan tasks, and execute actions independently. He provided examples from various industries, including autonomous customer service bots and AI-driven content moderation tools, to demonstrate the practical applications of Agentic AI. Impact on Development and Support Work Dr. Nagaraju discussed how the integration of GenAI and Agentic AI is reshaping development and support work in Indian IT. He noted that these technologies are automating routine tasks, enhancing the efficiency of support operations, and enabling developers to focus on more strategic initiatives. The ability of Agentic AI to handle multi-step processes and make real-time decisions is particularly beneficial in dynamic environments like CME.

Strategic Implications and Future Directions

Enhancing Customer Engagement
Dr. Nagaraju emphasized the transformative role of Generative AI (GenAI) and Agentic AI in enhancing customer engagement strategies. He explained that these technologies enable businesses in the Communications, Media, and Entertainment (CME) sector to deliver personalized content recommendations, real-time customer interactions, and proactive support services. Such AI-driven capabilities significantly improve customer satisfaction while contributing to business growth and stronger customer relationships.

Operational Efficiency and Cost Optimization
The speaker highlighted that GenAI and Agentic AI improve operational efficiency by automating repetitive and routine tasks. This reduces the dependence on manual intervention, streamlines business processes, and allows organizations to utilize their resources more effectively. As a result, companies can achieve substantial cost savings while enhancing productivity and maintaining a competitive advantage in the Indian IT industry.

Challenges and Ethical Considerations
Dr. Nagaraju also discussed the challenges associated with the adoption of AI technologies. He pointed out concerns related to data privacy, ethical use of AI, and the possibility of biased decision-making. He stressed the importance of establishing robust governance frameworks, responsible AI practices, and ethical guidelines to ensure the safe, transparent, and fair implementation of AI solutions.

Future Outlook
Concluding the session, Dr. Nagaraju shared his perspective on the future of Artificial Intelligence in the Indian IT sector. He expressed confidence that continuous advancements in GenAI and Agentic AI would accelerate innovation in the Communications, Media, and Entertainment industry, creating more intelligent, immersive, and interactive digital experiences. He encouraged students, professionals, and organizations to embrace these emerging technologies, continuously upgrade their skills, and remain informed about evolving AI trends to stay competitive in the rapidly changing technology landscape.

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