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Disruption at the Scale of AI: Don’t Get Left Behind

Remember when the fear of disruption by technological innovation was a constant undercurrent in the business world? Companies watched as [...]

From RAGs to Riches: Why Implementing AI is Crucial to Avoid Being Left Behind in the Age of AI Disruption

What does AI disruption look like? Will it come with a loud bang, like a new competitor storming into the [...]

Boosting Workforce Efficiency

A COMPREHENSIVE APPROACH TO TRANSFORMING FP&A REPORTING Overview Businesses are currently struggling with a significant challenge in their financial planning [...]

Improving productivity in Metal Fines production

OVERVIEW A $75M USD alumina manufacturer was living with inconsistent production schedules due to constraints in measuring a key process [...]

End customer side failures solved with ML

The final optimization model considered cathode inventory and quality, intermediate process parameters, to the coil quality data and customer requirements.Overview [...]

Improving coal consumption efficiency with data management and machine learning

OBJECTIVES A national aluminum and copper manufacturing company wanted to improve efficiency in their coal utilization. The standard test process [...]

Annual Recurring Revenue Dashboard

https://pangeatech.azurewebsites.net/wp-content/uploads/2023/08/ARR-Dashboard.mp4

Unveiling Microstructural Mysteries: Computer vision based Image Analysis of Microstructures (from Optical Microscopes) – Grain Size Analysis

Introduction Microstructures, the tiny patterns and arrangements of materials at the microscopic level, hold valuable insights into the properties and [...]

Enhance efficiency through FP&A reporting

Harnessing the Power of Data Analytics: How FP&A Enhances Performance Measurement

Optimizing Warehouse Labor Management: Solving Workforce Challenges with AI-Powered Demand Forecasting

Unlocking Success: Demystifying Demand Forecasting in Supply Chain Management Efficient supply chain management hinges on the ability to accurately predict [...]

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