In a surprising convergence of technology and traditional industry, Tata Steel, a prominent player in the steelmaking sector, has leveraged the power of data and artificial intelligence (AI) to optimize its operations and generate substantial profits. The company has recognized that data, in addition to essential raw materials such as iron ore and coke, plays an equally crucial role in ensuring profitability and sustainability.
Tata Steel embarked on this data-driven journey in 2018 and set an ambitious target to achieve EBIDTA (Earnings Before Interest, Depreciation, Taxes, and Amortization) savings of $2 billion, primarily by leveraging its data resources. As of today, the company is proud to have achieved $1.4 billion in savings, a testament to the effectiveness of their data-driven strategies.
Jayanta Banerjee, Chief Innovation Officer at Tata Steel, sheds light on this unlikely alliance between AI and steel manufacturing. He explains how data and AI have become integral components, comparable in importance to traditional raw materials such as iron ore and coke.
This transformative approach illustrates how industries are evolving in the digital age, where data-driven insights and AI technologies are being deployed to optimize processes, reduce costs and improve profitability in sectors previously considered 'physical' in nature, such as steel production.
86
499
520
1000
399
599
30325
32325
499
1299
1110
0
7589
15199
1622
1999
298
990
260
450