Introduction Causal AI represents a paradigm shift in artificial intelligence, moving beyond traditional correlation-based machine learning to models that explicitly understand cause-and-effect relationships. Unlike conventional AI, which excels at pattern recognition but struggles with explaining decisions, Causal AI leverages structured … Read More
Use Cases
Applying Causal AI Across Industries with Geminos Causeway
Causal AI is revolutionizing decision-making by enabling organizations to move beyond correlation-based analytics and uncover the true cause-and-effect relationships within their data. This advanced approach empowers businesses, governments and institutions to make smarter, more impactful decisions by understanding not just what is happening, but why. … Read More
Use Case: Causal AI for Oil and Gas
AI is Driving Value in the Oil and Gas Sector Faced with changing regulations, emerging competition and continuous market volatility, businesses in the oil and gas industry are putting a priority on transforming their operations. These market pressures are not … Read More
Use Case: Advancing Demand Planning Decisions Through Causal AI
Our client is a multinational consumer goods manufacturer with a highly complex supply chain. The demand planning department oversees thousands of SKUs and places production orders 12 months in advance, based on customer indications and historical data. The stakes are incredibly high, with the manufacturing process initiating 18 months before products actually reach retail shelves. At this stage, there is a risk-laden gamble of committing to large-scale orders before actual demand is fully understood. … Read More
Marketing Campaign ROI with Causal AI
This discussion highlights how a beauty and lifestyle product company was able to dramatically improve their marketing campaigns through the use of the power of causal AI. The objective of this project was to harness the power of Causal AI technologies to bring a new level of precision to our client’s marketing campaign ROI analysis. By transcending the constraints of traditional analytics, we aim to unlock dynamic, nuanced insights that inform smarter strategies, optimize budget allocation, and drive impactful sales increases. … Read More
Improving Predictive Maintenance with Causal AI Digital Twins
Causal AI in Predictive Maintenance Reducing unplanned equipment downtime is a top priority for manufacturing and heavy industries, especially given its high cost—estimated at $50 billion annually. Traditional predictive maintenance methods, reliant on historical data, often fall short. Our latest … Read More
Eliminating Deforestation in the Palm Oil Supply Chain with Causal AI
Problem Definition Palm oil is widely consumed, making up 40% of global vegetable oil from just 10% of oil-producing land. It’s primarily grown in equatorial regions like Indonesia and Malaysia, which are also home to sensitive rainforests. Expanding palm oil … Read More