The World Economic Forum recently featured Tata Steel in it’s Reimagining Operations for Growth white paper, for the application of predictive analytics in procurement of coking coal. Tata’s “agile buying strategy” leveraged Quantum Data Technologies’ core product, Quantum ML, to mitigate market risk and reduce commodity acquisition costs.
From the white paper:
Global disruptions and instabilities impose a pressing need and opportunity for quantitative and qualitative growth amid shifts in supply, demand and increasing market complexity. This is a time of unparalleled industry transformation; the future belongs to those companies willing to embrace disruption and capture new opportunities. Ever more manufacturing companies are showing that it is possible to unlock unprecedented capacity, realize entirely new revenue streams and gain market share.– World Economic Forum, Reimagining Operation for Growth white paper, 2021
If you’d like to read more about what the World Economic Forum had to say about Tata and our project you can find it here.
Digital innovation is no longer optional, and at QDT we strive to push the boundaries of what’s possible with machine learning and artificial intelligence to improve your business processes and outcomes. The technology can be applied to other commodities and also other end-users like traders, exchanges or brokerage institutions who manage risk and interact with markets in similar ways.
Additionally, this application of Quantum ML for Tata has been entered into Tata’s internal business unit competition (of over 300 subsidiaries), Innovista. The outcome of that competition is to be announced soon!
Quantum Data Technologies is an engineering company with a passion for using advanced technology to solve complex business problems. We are fascinated with the pursuit of innovation and to constantly push the boundaries of what’s possible with AI, Big Data, and Machine Learning. Our core product, Quantum ML, is a data platform that uses machine learning to predict the movement of financial instruments such as stocks, bonds, indices, fiat currencies, cryptocurrencies, commodities, ETFs, and more. Quantum ML utilizes data from 150,000+ unique sources such as global exchanges, financials, macroeconomics, and fundamentals, to automatically generate and backtest ML-driven strategies that inform financial and trading decisions.