We proposed a Proof of Concept (PoC) project to demonstrate the potential of Large Language Models (LLMs) in automating data extraction from contracts.
We developed a solution that leverages Large Language Models (LLMs) to enable natural language querying of structured databases.
An AI system that helps the process engineers identify anomalies in energy consumption and review energy consumption outliers for specific production lines. That leads not only to a decrease of the energy consumption, but also to prevention of machine failure incidents.
Scrap ration decreased thanks to AI prediction if the produced unit is scrap before it is fully finished. Cost reduction, time efficiency and opportunity to investigate which settings and test results lead to scraps in production.
Private sellers and buyers, real estate professionals, banks, insurance companies, investment funds and other stakeholders oftentimes depend heavily on the accurate value estimation of their real estate properties.
Electricity suppliers work hard to deliver the right amount of power to the grid at the right time to cover consumption of their customers. Every deficit or excess of energy causes additional expenses so accurate consumption forecasts are crucial.
Aluminium production is a complex process requiring huge amounts of electricity, so the process has to be strictly controlled and optimized to avoid any unnecessary expenses for energy and chemicals. Fortunately, machine learning can assist here.
Regardless of the product, one thing is common for every marketing campaign - the more tailored the campaign is to the profile of the customer, the higher the chance of conversion. Therefore every company tries to get to know their customers better.
AI is one of the key driving technologies in digital transformation. Machine learning pilot project for churn modelling on consumer loans data was an important step that shaped the way how machine learning is implemented in Erste Group.
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