Automatically manage assets, detect fraudulent behavior or profile and segment clients.
Machine learning has had fruitful applications in finance well before the advent of mobile banking apps, proficient chat bots, or search engines. Given high volume, accurate historical records, and quantitative nature of the finance world, few industries are better suited for artificial intelligence. There are more uses cases of machine learning in finance than ever before, a trend perpetuated by more accessible computing power and more accessible machine learning tools.
The main application are:
- Portfolio Management
- Algorithmic Trading
- Fraud Detection
- Loan / Insurance Underwriting
- Customer Service
- Sentiment / News Analysis
|Load curves decomposition
Here in Cathedral we can create models that can analyze and decompose load curves to understand electricity consumption. Optimizing energy consumption is a crucial concern for the future, but knowing exactly how to take action is often a difficult task. From a subset of buildings where precise consumptions are known, our engine can generalize to any other building and predict the detailed electricity usage, without installing costly sensors.
Analyze trends and events to predict, everyday, how many clients will come in your stores. Prepare your promotional campaigns, optimize your stores supply chain, or better manage your revenues, We open a window into your future. Our models analyzes the history of your stores, as well as local and national events to predict, up to several months in the future, precise estimations of sales.
Cathedral predicts the consumption trends of all your products and inventories. You can know precisely which product, at what time, will be more in demand and optimize your organization and supply operations. Our engine analyzes the history of your stores and warehouses and predicts consumption trends.
Our artificial intelligences read and classify your emails automatically. E-commerce allows you to reach an unprecedented amount of client. With this amount also comes the headaches of managing more complex client relationships. Our alghoritms can automatically determine a client's message and reroute it to the appropriate department. Using a mix of statistical textual analysis and natural language processing, our engine can instantly understand the meaning and the subject of a very large number of messages.
Our engine analyze the description of a product to automatically detect the category in which it best fits. Managing a massive portfolio of products in a marketplace, especially when it is community sourced, can quickly become very complicated. For you, as well as for the users, that can end up finding neither products to buy nor buyers for their products. We can make statistical analysis of the text description of a product to automatically classify in which category it should end up.