Today we are going to share a story where we participated in a project that included low quality data and failed the expected model’s accuracy rate. But in the end, both us and the client see this experience as a success - and let’s see why.
Companies have been accumulating data and customer information for years, but extraction of value from large amounts of data still remains the greatest challenge. Artificial Intelligence (AI) and Machine Learning (ML) specifically allow you to get the most out of your dat...
We proudly announce that WaveAccess became a member of the MindSphere World Association. It is a global and independent user association that aims to promote the IoT to shape the future of the digital economy, and promotion of the Siemens MindSphere® platform.
In his interview with Neptune, Vladimir Rybakov, Head of Data Science at WaveAccess, shared how to solve problems fast under extreme pressure, how taking responsibility can help progress in career and much more. Get the interview's key takeaways in our blog post.
In his interview with Berlingske newspaper, Stefan Pedersen, Managing Director at WaveAccess Nordics, outlined how can Life Science companies benefit from digitalization, what challenges might they face and how to deal with them.
In September 2018, delegates from WaveAccess attended three leading tech events hosted in Copenhagen: TechBBQ summit, Danish-Russian IT conference, and the AI conference organized by Computerworld. Here is what we learned.
Wholesale Flights, an American airline tickets booking agency, increased its sales by 17% after the introduction of WaveAccess’ Machine Learning module. Its algorithms use the data to predict the chance of a lead conversion.
In June 2018, Microsoft announced WaveAccess as the 2018 Artificial Intelligence Partner of the Year in Russia. For the second year in a row, WaveAccess has won the category proving the company’s expertise in Machine Learning and AI.
WaveAccess developed an anti-fraud system to protect telecom companies from fraud attacks. The solution is based on Machine Learning and fuzzy logic algorithms. The security module recognizes suspicious actions as threats.
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