Tata Steel has invested a lot in cutting-edge generative AI platforms which are now powering automated insights, conversational interfaces and addressing hard-to-solve use cases by combining the abilities of conventional (mathematical) AI with the creative capacities of Generative AI. 

Feb 11, 2025

Making significant investments in cutting-edge generative Artificial Intelligence (AI) platforms, Tata Steel has built over 550 AI models across its value chain in the past five years to enhance yield, energy, throughput, quality and productivity (YETQP), while reducing emissions.

Tata Steel was at the forefront of technological transformation through the integration of AI and Industry 4.0 technologies. AI solutions aid operators in better process control, while predictive models assess the remaining useful life of assets, preventing unplanned downtime by predicting and pre-empting equipment failures.

The adoption of Industry 4.0 technologies is also creating unique, hyper-personalised experiences for customers and stakeholders. This digital transformation is improving business KPIs, optimising operations and facilitating timely & effective decisions, reaffirming the technological leadership of Tata Steel.

Machine-aided insights have enabled process predictability across the value chain, enhancing stakeholder experience, employee health & safety and equipment maintenance. 

Tata Steel has invested a lot in cutting-edge generative AI platforms which are now powering automated insights, conversational interfaces and addressing hard-to-solve use cases by combining the abilities of conventional (mathematical) AI with the creative capacities of Generative AI. 

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Huge investments were made in Generative AI to unlock the potential of the scale and quality of its organisational data and used more than 35 million generative AI tokens across the enterprise, driving a culture of AI-enhanced productivity. The company has completed over 100 projects using AI, including a CO₂ emissions prediction model.