Blog Tags: Manufacturing
Why India-Targeted AI Matters: Exploring Opportunities and Challenges
The scope for AI-focused innovation is tremendous, given India’s status as one of the fastest-growing economies with the second-largest population globally. Explore the challenges and opportunities for AI in India.
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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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From Awareness to Action: Private Equity’s Quest for Data-Driven Growth
Data analytics is crucial for Private Equity (PE) firms to navigate a diverse client portfolio and complex data. Despite challenges such as data overflow and outdated strategies, a data-driven approach enables better decision-making, transparent valuation, and optimized investment opportunities, ensuring competitiveness in a dynamic market.
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Waste No More: Making a Difference with Tiger Analytics’ Data-Driven Solution for a Greener Tomorrow
Improper commercial waste management devastates the environment, necessitating adherence to waste management protocols. Tiger Analytics’ solution for a waste management firm enhanced accuracy, efficiency, and compliance, promoting sustainable practices.
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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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