HYDERABAD — Accelerating the integration of Industry 4.0 technologies within the defense manufacturing sector, Mishra Dhatu Nigam Limited (MIDHANI), a Miniratna Public Sector Undertaking under the Ministry of Defence, hosted an advanced AI workshop titled “Data Strategy for Metallurgical Industry’s AI Journey.”
The high-profile event converged top-tier scientists, administrative heads, academic researchers, and technology leaders to establish a roadmap for utilizing data analytics, machine learning, and digital twins to advance India’s defense manufacturing capabilities.
Industrial Vision and Governance Synergy
The workshop highlighted how cross-sector collaboration and enterprise-wide digitization can drive cost efficiencies and technological self-reliance:
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Process Evolution via AI: Dr. S.V.S. Narayana Murty, Chairman & Managing Director of MIDHANI, detailed the structural evolution of metallurgy into a digital science. He emphasized using machine learning models for predictive maintenance, process optimization, and high-performance alloy engineering.
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State-Led Innovation Ecosystems: Delivering the keynote address, Chief Guest Shri T. Ravi Kiran (IFoS), Commissioner (ESD), Government of Telangana, drew parallels with regional governance models, highlighting the Telangana Data Exchange (TGDeX) as a pioneer state-led Digital Public Infrastructure fostering secure AI development.
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Cross-Functional Digitization: The company’s functional directorate underscored the multi-dimensional impact of data capture:
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Finance & Supply Chain: Smt. K. Madhubala (Director, Finance) focused on deploying analytics to minimize operational costs.
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Production Decisions: Shri P. Babu (Director, Production & Marketing) focused on using data insights for real-time shop floor decision-making.
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Enterprise Transparency: Smt. Spoorthy Reddy (IRS) (Chief Vigilance Officer) advocated for deep digitization across core process lines and support functions like HR, procurement, and corporate marketing.
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Advanced Analytics and Collaborative Sessions
Technical segments during the forum focused on shifting from standard machine-level telemetry to comprehensive, network-wide big data utilization:
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Domain Research: Specialized technical frameworks regarding power-efficient AI architectures, secure computing, and material informatics were presented by a panel comprising Dr. G. Phani Kumar (IIT Madras), Dr. Alankar Alankar (IIT Bombay), Dr. Abirami Sukumaran (Google India), and Shri K.N.S. Pavan Kumar (DYSL-SM).
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Strategic Panel: A focused panel session on “AI in Core Metallurgical Industries” analyzed methods to boost operational efficiency and manufacturing yields across the industrial footprint.
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Internal IT Roadmap: Coordinated by Ms. Manali Hingrajiya (Senior Manager, IT), the seminar featured a dedicated briefing on MIDHANI’s active AI projects portfolio presented by Ms. Lakshmi Prasanna (Manager, IT), before concluding with an official vote of thanks from Ms. Sravathi Chitikesi (DGM, IT).
