Mr Dilip Sawhney
Chairman
CII National Committee on Smart Manufacturing
EventConcludedIn-Person
Seminar on Industrial Automation and AI Driven Innovations
Accelerating India's Manufacturing Competitiveness through Frontier Technologies
2 Sep 2025New Delhi, India9:30 am – 5:30 pmEnterprise
Overview
Industrial automation and AI-driven innovation are reshaping the manufacturing landscape, emerging as critical enablers of productivity, precision, and cost efficiency. While automation streamlines repetitive and high-volume operations, AI adds intelligence across the value chain—enabling predictive maintenance, real-time quality monitoring, demand forecasting, and adaptive process optimization. By integrating these technologies, manufacturers can significantly reduce human error, minimize downtime, and enhance the speed and accuracy of decision-making, paving the way for smarter, more agile industrial systems.
In this context, Confederation of Indian Industry (CII) organised the Seminar on Industrial Automation and AI Driven Innovations with the theme “Accelerating India’s Manufacturing Competitiveness through Frontier Technologies” on 2 September 2025 in New Delhi.
Key insights
Key Insights & Takeaways
Industry Speakers
14
Focused Panels
2
Clusters covered
AI & AutomationSmart ManufacturingRoboticsIoT
Key Takeaways
- Factory automation is a critical enabler for accelerating Industry 4.0 adoption and improving productivity, quality and operational agility.
- Collaborative robots (cobots) and autonomous systems enhance productivity, improve consistency and enable flexible manufacturing — particularly in high-mix, low-volume environments.
- Workforce upskilling and change management are as important as technology deployment for driving Industry 4.0.
- Combined deployment of IIoT, digital twins, robotics and edge computing enables Indian manufacturers to build smart, connected, future-ready factories.
- Predictive maintenance, powered by machine learning, enables early detection of equipment anomalies — significantly reducing unplanned downtime and maintenance costs.
- A phased, scalable approach — starting with critical assets and high-impact use cases — is a best practice for process industries embarking on AI-enabled automation journeys.
Agenda
Agenda & Sessions
- Morning session· Panel Discussion -1Panel Discussion on Factory Automation & Smart Technologies: Driving Industry 4.0 in discrete industries
- Afternoon session· Panel Discussion -2Panel Discussion on Process Automation & Predictive Intelligence in oil & gas, chemicals, utilities and energy
Speakers
Event Speakers
Mr CV Raman
Member of Executive Committee & Former CTO
Maruti Suzuki India Ltd
Mr Sameer Gandhi
Managing Director
Omron Automation India Pvt Ltd
Mr Sandeep Chittora
Associate Partner
KPMG Assurance and Consulting Services LLP
Mr Falgun Chokshi
Executive Vice President
L&T Heavy Engineering Ltd
Mr Anil Kumar Satapathy
Executive Director and CTO
DiFACTO Robotics and Automation Pvt Ltd
Mr Gaurav Kataria
Vice President — Digital (Manufacturing) and CDIO
ITC Limited
Mr Sanket Virkar
Vice President and Site Head — Pune Operations
JCB India Ltd
Mr Vikrant Deoras
Chief Digital & Information Officer
Tata Chemicals Ltd
Mr Chandra Sekhar Davuluri
Chief Digital and Technology Officer
ONGC
Mr Aman Kirloskar
Vice President
Kirloskar Pneumatic Co. Ltd
Mr Indradyumna Datta
Group Chief Digital Officer
Jindal Steel & Power Ltd
Mr Sunil Mehta
President, Automation Industry Association; Assistant Vice President
Mitsubishi Electric India Pvt Ltd
Mr Sanjeev Sehgal
Managing Director
Samriddhi Automations Pvt Ltd
Partners
Event Partners
Kirloskar Pneumatic Co. Ltd
Kirloskar Pneumatic Co. Ltd
L&T Heavy Engineering
L&T Heavy Engineering
DiFACTO Robotics and Automation
DiFACTO Robotics and Automation
Learnings
Learnings from the Event
- Understand how factory automation accelerates Industry 4.0 adoption across discrete and process industries
- Learn how cobots and autonomous systems enable flexible manufacturing in high-mix environments
- Identify predictive maintenance strategies using machine learning to reduce unplanned downtime
- Design phased, scalable automation roadmaps starting with critical assets and high-impact use cases
FAQs
Frequently Asked Questions
The programme is intended for manufacturing leaders and teams aligned to the listed audience and outcomes.