1 week ago
Industrial AI Moves From Factory Pilots to Boardrooms
Industrial companies in India are trying to use AI for more than running machines on factory floors.
They want it to help design products, manage supplies, predict demand and reduce costs.
Business leaders at a summit in Pune said AI projects should solve clear business problems.
They also said company leaders and boards must be involved in deciding how AI is used.
Some AI systems can now make recommendations or take actions within set limits.
This creates a question about who is responsible if an AI decision causes a problem.
Experts said companies need records, reliable data and rules built into AI systems from the beginning.
They also said connected computer systems and steady government policies can help AI projects grow.
An Industrial Leadership Summit in Pune examined how AI can deliver measurable business outcomes for Indian industrial companies.
PwC India said industrial leaders expect highly automated processes to rise from 18% today to 50% by 2030.
Executives urged companies to begin AI investments with business problems and consider the competitive cost of inaction.
Examples included Adani Group using AI to forecast component availability for large solar projects and anticipate supply constraints.
Speakers said scaling AI requires connected data, governance, audit trails, decision ownership and consistent technology policy.
- Who
- Indian industrial companies, executives, technology leaders and AI experts, including representatives from PwC India, Dassault Systèmes, Adani Group, Havells India and Ashok Leyland.
- What
- The Industrial Leadership Summit discussed moving industrial AI from pilot projects to measurable business results across design, engineering, manufacturing, supply chains and operations.
- Where
- Pune, India.
- When
- 21–22 August; the articles do not specify the year.
- Why
- Companies are seeking faster product development, shorter manufacturing cycles, lower costs, stronger supply-chain resilience and new revenue opportunities through AI.
Key facts
- Event
- Industrial Leadership Summit
- Host
- Mint CIO Circle and Dassault Systèmes
- Location
- Pune, India
- Current automation level
- 18% of industrial leaders currently expect highly automated processes.
- 2030 automation expectation
- 50% of industrial leaders expect highly automated processes by 2030.
- Advanced technology use
- The share expecting heavy reliance on advanced technology is projected to rise from 26% currently to 68%.
- Governance needs
- Speakers highlighted audit trails, data lineage and clear decision ownership for AI-driven decisions.
Quotes
Manpreet Singh Ahuja
Chief clients and industries officer at PwC India
“AI fundamentally is transforming intelligence. And if you don't rewire your factory around that intelligence, you're missing the opportunity.”
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“Governance will not be a bolt-on. Governance will not be an add-on. It has to be in the core design.”
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