General Information:
Title : AI-Driven Automation: Opportunities, Challenges, and Real-World Applications
Date: Wednesday, 22nd April 2026
Time: 10:30 hrs
Mode: Online (Microsoft Teams)
Resource Person: Dr. Ravi Kiran Inapakurthi (Senior Manager, Advanced Engineering, Engineering Research Center, Tata Passenger Electric Mobility Ltd., Pune, Maharashtra)
Total Participation: 268
Sustainable Development Goal: Quality Education and Industry, Innovation and Infrastructure
Coordinator: Dr. Devendra Rawat, Associate Professor, Department of ECE, ASET
The inspiration behind selecting this topic, “AI-Driven Automation: Opportunities, Challenges, and Real-World Applications,” came from the rapidly evolving role of artificial intelligence in transforming modern industries and everyday life. Automation is no longer limited to repetitive tasks; it is now enabling intelligent decision-making, adaptive systems, and innovative solutions across sectors such as healthcare, manufacturing, education, and services.
The objective was to bridge the gap between theoretical knowledge and practical implementation by exposing students and faculty to real-world applications of AI. Additionally, understanding the associated challenges—such as ethical concerns, data privacy, and workforce implications—has become equally important. This webinar was designed to provide a balanced perspective, helping participants not only appreciate the opportunities but also critically analyze the broader impact of AI-driven automation in society. This expert talk was aimed to introduce participants to these evolving technological trends and encourage them to explore research, innovation, and entrepreneurship opportunities in embedded domains. The webinar was also inspired by feedback from students and faculty who expressed interest in skill-oriented technical training programs that enhance employability and practical expertise.
The guest speaker was Dr. Ravi Kiran Inapakurthi (Senior Manager, Advanced Engineering, Engineering Research Center, Tata Passenger Electric Mobility Ltd., Pune, Maharashtra).
After attending the session, participants will be able to:
- Understand the core principles and architecture of AI-driven automation systems.
- Identify various application areas where AI is transforming traditional automation processes.
- Critically evaluate the benefits and limitations of AI-based automation solutions.
- Recognize key challenges such as data privacy, bias, scalability, and workforce impact.
- Apply conceptual knowledge to analyze real-world automation problems and propose AI-based solutions.
Based on the current event, the future objectives of the Department of ECE will be:
- Conduct follow-up sessions on advanced intelligent techniques for automation.
- Exploration of AI techniques to develop state-of-the-art solutions for industrial problems.
- Students develop prototype projects based on webinar learning.
- Organize competition to encourage prototype development and innovation
- Industry academic relationship will be emphasized for collaborative efforts for Internships and placements.