Tata Steel has made significant investments in advanced generative AI platforms, developing over 550 AI models to enhance output, productivity, and quality. The company positions itself at the forefront of technological transformation by integrating AI across its operations.
Over the past five to six years, Tata Steel has deployed AI models to improve yield, energy efficiency, throughput, quality, productivity, stakeholder experience, safety, and sustainability. Its investment in generative AI is driving automated insights, conversational interfaces, and solving complex challenges by combining traditional mathematical AI with the creative capabilities of generative AI.
“We approach AI with realism, ensuring every initiative aligns with our business needs and long-term goals. Technology should serve the business, not the other way around, so our investments are always tied to clear KPIs and tangible value,” said Tata Steel Chief Information Officer Jayanta Banerjee.
AI applications are enhancing workplace safety with real-time detection systems that monitor potential hazards such as missing PPE, unsafe practices, and deviations from standard procedures. AI also analyzes safety data to predict and mitigate risks, creating a safer work environment.
On the operational side, AI-driven digital tools optimize supply chain logistics, improve energy management, enable remote operations, and enhance decision-making. Additionally, Tata Steel is implementing Enterprise Gen AI, allowing employees to securely access organizational data and insights efficiently. A key example is a Gen AI-based maintenance troubleshooting assistant, which provides shop floor managers with real-time insights and corrective action recommendations, minimizing downtime and maximizing operational efficiency.
