Blog Tags: Data Science
Cracking the Code of Polymorphism in Organic Crystals: A Breakthrough in Pharmaceutical Research
Explore the intricate world of organic crystal polymorphism in drug development as researchers decode surface and bulk nucleation rates, unveiling the key to preventing unwanted crystallization. A breakthrough in understanding molecular packing dynamics sheds light on preventing drug failures such as Abbott Laboratory’s Norvir® recall.
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Data-Driven Disruption? How Analytics is Shifting Gears in the Auto Market
The presence of legacy systems, regulatory compliance issues and sudden growth of the BEV/PHEV market are all challenges the automotive industry must face. Explore how Analytics can help future-proof their growth plans.
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Data Science Strategies for Effective Process System Maintenance
Industry understanding of managing planned maintenance is fairly mature. This article focuses on how Data Science can impact unplanned maintenance, which demands a differentiated approach to build insight and understanding around the process and subsystems.
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Maximizing Efficiency: Redefining Predictive Maintenance in Manufacturing with Digital Twins
Tiger Analytics leverages ML-powered digital twins for predictive maintenance in manufacturing. By integrating sensor data and other inputs, we enable anomaly detection, forecasting, and operational insights. Our modular approach ensures scalability and self-sustainability, yielding cost-effective and efficient solutions.
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