Al in Quality Management:
Enables predictive analytics, real-time monitoring and process automation.
Importance of Data Integrity:
Al effectiveness relies on accurate, secure and reliable data.
Ensures trustworthy and actionable insights.
Key Strategies for Al Success:
» Robust Data Governance
» Quality Control Enhancement
» Efficiency Optimization
Dr. S. Rajkumar,
President, Rane Madras Limited ECD
His insightful introduction as Session Chairperson set the perfect foundation for the theme. He reminded the audience that AI is already woven into everyday life and, through the Kodak story, powerfully illustrated the importance of embracing technology before it is too late. Drawing on practical examples from Rane Madras—in inspection, process optimization, and decision-making—he demonstrated how AI is transforming manufacturing at the ground level. His emphasis on cybersecurity was especially timely, reinforcing that trust and protection must advance hand in hand with technological progress.
His closing reflections tied the session together with remarkable clarity. Recalling his mentor’s words—that nothing in manufacturing works without touching the process, the machine, and the people—he reminded everyone that AI is an augmentation, not a replacement. His account of the Wuhan experience, where entire townships are dedicated to laser technology, offered a striking vision of how ecosystems built around institutes, industries, and MSMEs can accelerate national growth. It was a compelling call for India to foster such collaborative models, ensuring that AI becomes a true engine of inclusive and sustainable transformation.
Col. Gaurav Singh,
Chief Consultant- Technical, Pinkerton
His address was both profound and practical, underscoring that in today’s world, quality has become a strategic enabler and true resilience emerges from predictive intelligence. His call for trustworthy, repeatable, and explainable AI resonated deeply, as did his caution against the risks of biased datasets.
Through compelling case studies—from auto plants cutting downtime by 30%, to pharma companies reducing non-compliance by 40%, and airports like Changi doubling throughput—he provided powerful evidence of AI’s transformative potential across industries. His structured roadmap—organizing data, piloting AI, integrating digital twins, and scaling with resilience—offered organizations a clear pathway to responsible and effective digital transformation.
His closing words captured the spirit of the session and the future ahead: “Build with integrity, lead with agility, and scale with resilience.”
Mr. Chandrashekar Bharathi,
Managing Director, AceMicromatic MIT
His presentation offered a compelling vision of the future of physical AI. He vividly demonstrated how machines, robots, AGVs, and cobots can work in harmony to create truly lights-out factories—an inspiring glimpse into the next frontier of manufacturing.
His examples of AMG Mitra, the intelligent co-pilot, alongside applications such as vision AI, genetic AI for scheduling, and invisible vision-based safety systems, illustrated how technology can simultaneously empower operators and make shopfloors smarter, safer, and more adaptive.
His closing thought—comparing scaled AI deployment to a “UPI for manufacturing”—brilliantly captured the spirit of accessibility, scalability, and national innovation, leaving the audience with a powerful message about India’s potential to lead the next industrial revolution.
Mr. R Abilash Chakravarthy,
Managing Director, ACE Robotics Pvt. Limited
His presentation illuminated the real-world challenges and opportunities of robotics adoption in India. He emphasized that integration, cost, and workforce readiness remain critical success factors, while underscoring that the true value of automation lies in upskilling people to work alongside machines.
By linking robotics directly to productivity and competitiveness, he demonstrated India’s vast potential to become a global leader in collaborative automation.
His message combined optimism with pragmatism—reminding everyone that AI and robotics must ultimately serve people, strengthen organizations, and drive sustainable growth.
Ms. Hamseswari Renganathan,
Principal Product Strategy Manager, Oracle
Her presentation reinforced a vital truth — that good data is the foundation of meaningful AI. She highlighted the risks of fragmented systems and external dependencies, emphasizing the importance of maintaining a single, reliable source of truth.
By articulating the three pillars of transparency, traceability, and trust, she offered a simple yet powerful framework for achieving data integrity in digital transformation.
Her call to action — urging manufacturers to build the data-driven technologies of the future — left the audience with a clear sense of direction and conviction, reminding that every successful AI journey begins with disciplined, trustworthy data.
Dr. R Srinivasan,Former Chairman, NIQR Chennai Branch coordinated the session.
Dr. S. Rajkumar
Mr. Chandrashekar Bharathi
Col. Gaurav Singh
Mr. R Abilash Chakravarthy
Ms. Hamseswari Renganathan
The National Institution for Quality and Reliability (NIQR) is India’s premier professional body committed to advancing excellence in Quality, Reliability, Innovation and Sustainability.
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