Natural Language Generation Engine(NLG)
- 12.09.2017
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One of the main problems the analytics department in corporate business faces is the sheer volume of incoming and outgoing data, meaning the analysts have to write LOTS of text (most of which is never read). This is particularly painful for writing monthly or quarterly reports, especially if they are intended to be actually useful. We came up with a solution that lowered the quantity of human errors by 58% and provided a 71% faster report writing.
Read MoreNLP Job board
- 12.09.2017
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There is another solution we built from scratch for a high-tech start-up — an innovative job board for Asian market. This job board must serve the healthcare and medical science industry and is oriented at top-tier researchers and scientists. There was a dual challenge — both the employers and the applicants cannot describe their skills precisely (either because they cannot lift the NDA or the project descriptions involve highly specific terminology).
Read MoreFinancial Quantitative Analytics
- 08.09.2017
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We have developed a backbone of the Machine Learning platform for financial quantitative analytics. The core problem of existing manual analytics modelling methods is that they take a long time to build a model, while the data remains relevant only for 30 days or even less. Thus said, building a model should happen fast in order for it to remain relevant for long.
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