Banks can reduce bad debt levels by using ML and AI to predict loan delinquency. In this use case, we explore how the Engine can help with this.
With the influx of data, accurate property price prediction is more important than ever. Learn how you can leverage ML to predict property prices.
No bank wants its valuable customers to churn. Retaining customers with customer churn prediction is the most cost-effective way to bring in revenue.
Retailers can proactively plan retail inventory needs with supply and demand forecasting using the AI & Analytics Engine.
Insurers can leverage AI/ML and stay competitive by switching to a dynamic policy pricing strategy with the AI & Analytics Engine.
Using the AI & Analytics Engine, companies in the financial services industry can improve the speed and accuracy of fraud detection with Machine...
Facility optimization to maximize energy efficiency is a challenging concern. ML can be applied to AI-enabled BMS systems and facility management...
Price optimization is becoming increasingly important as a significant driver of competitive advantage for today's retailers. Leverage AI price...
The AI & Analytics Engine optimized and productionized predictive maintenance strategies, for mission-critical assets so they ran reliably &...
The AI & Analytics Engine helps physical space optimization projects be developed, providing decision-makers with rich insights to best utilize space.
In this article, we look at the use of AI in trading, in the finance industry. PI.EXCHANGE built a predictive model to quantify the risks and returns...
By leveraging the highly scalable automation and technology available within their AI & Analytics Engine, firms can leverage AI for cybersecurity.
A use case for AI in logistics: The AI & Analytics Engine predicted regional trade-flow of competitors in useful time horizons for a trading company.
Predicting fluctuations in global shipment volumes for demand forecasting with machine learning.
