We built a system to conduct intrinsic value analysis on the stock market using GPT and analyzed how performant the system was in differentiating overvalued companies from undervalued ones. We found moderate evidence that indicated large language models can have an influential role in the fundamental analysis of corporate stock data.
Read MoreTraditional approaches to intelligent document processing (IDP) often require a great deal of time and effort, particularly during the data labeling stage. But what if you could reduce weeks of document labeling to just a few hours?
Read MoreIt is estimated that nowadays companies process nearly 750 billion invoices yearly and this number is expected to grow up to 2200 billion by 2035.
Read MoreIt is a profound mistake: according to the research provided by McKinsey & Company, only 17% of enterprises realized benefits of automation tools’ implementation within the first 6 month.
Read MoreSo as not to be depended only on factors which are beyond banks’ control (liquidity, support from the government, interest and inflation rates), banks shall step on the path of digitalization and accelerate on hyperautomation
Read MoreIn our November version we have implemented a combination of user requested features along with a set of planned product features we have been working on since day 1.
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