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Our Latest Thinking
From Our Blog
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3
min read
June 16, 2025
Barchart: How QDT Manages Market Risk, Optimizes Asset Allocation, and Increases Profits for Their Users
8
min read
June 16, 2025
How QDT got its start: challenges, learnings and product evolution
3
min read
June 4, 2025
QDT Wins Most Innovative New Product in the 2021 Technical Analyst Awards!
Quantum Data Technologies was awarded Most Innovative New Product in 2021 by The Technical Analyst for Quantum ML—our core product combining AI, ML, and an extensive data lake to make advanced financial forecasting accessible and easy to use.
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Impact Studies
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1
min read
2025-02-27
Category and Brand Forecast for a Leading CPG Company
Objective sales forecasts with an average accuracy of 95%
1
min read
2025-02-27
Media Optimization for a Leading CPG Company
15% uplift in sales due to media optimization across channels
1
min read
2025-02-27
Pricing Optimization for a Leading CPG Company
Drove 5% sales increase with pricing optimization
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Press Releases
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1
min read
June 4, 2025
Tata Steel Named Finalist in Tata InnoVista 2021 for ‘Agile Based Buying’ using QDT's Predictive Analytics Tool, Quantum ML
Tata InnoVista is Tata Group’s annual innovation competition recognizing impactful, collaborative solutions across its companies, where Tata Steel and Quantum Data Technologies won top honors for their machine learning-driven $11 million cost-saving solution in coking coal procurement.
2
min read
June 4, 2025
QDT Partners With Lloyd's List Intelligence, to Bring Extensive Trade Flow and Shipping Database to Data Lake
Quantum Data Technologies is leveraging Lloyd’s List Intelligence’s extensive maritime data to significantly enhance the predictive accuracy of their Quantum ML platform for commodities like coking coal and crude oil.
2
min read
June 4, 2025
Tata Steel featured by World Economic Forum for industrial application of QDT's predictive analytics tool, Quantum ML
The World Economic Forum highlighted Tata Steel’s use of QDT’s Quantum ML in its “agile buying strategy” to reduce commodity costs and manage market risk through predictive analytics in coking coal procurement.