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Articles onMachine learning

WaveAccess is now a member of the MindSphere World Association

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.

December 15, 2020

A Q&A with Vladimir Rybakov Head of Data Science at WaveAccess

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.

May 18, 2020

CIO Applications: interview with Ilya Feigin. Part 2

In the second part of his interview with CIO Applications, Ilya Feigin, CTO and founder of WaveAccess shared his vision on the actual role of customization in the product life cycle, and outlined what differentiates WaveAccess from its peers.

April 28, 2020

CIO Applications: interview with Ilya Feigin. Part 1

CIO Applications, a technology magazine, has interviewed Ilya Feigin, CTO and founder of WaveAccess on the company’s response to leading trends – in terms of technologies and project management methodologies.

April 23, 2020

WaveAccess featured on the Top 10 AI Solution Providers list

WaveAccess is excited and honored to be featured in the list of Top 10 AI Solution Providers - 2019 compiled by CIO Applications Europe.

December 5, 2019

Machine Learning to assist Sales, Marketing and Customer Service

In the age of the consumer, are there actually new ways to optimize the customer experience design processes and approaches to provide delightful customer service and remain efficient from a business perspective?

June 20, 2019

We focus on unique solutions: interview with Stefan Pedersen

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.

June 7, 2019

Four steps to bring success to your Machine Learning project

When considering Machine Learning as a part of your company’s IT toolbox, there are certain things that are pivotal to address. We will touch upon how your approach to ML projects may impact the outcome.

May 31, 2019

WaveAccess helps Danish agriculture prepare for the future

The Danish company SKOV A/S, supplier of climate and farm management solutions for livestock production, has partnered with WaveAccess to develop Episcope – the analytical platform that will revolutionize the agricultural market.

May 15, 2019

Text mining 101: what it is and how it works for business

Text mining is essentially the automated process of deriving high-quality information from text. Let’s explore what business challenges can be addressed by this technology and what related applications WaveAccess has developed.

February 4, 2019

WaveAccess at key industry events in Copenhagen

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.

October 8, 2018

17% sales growth by ML module for flights booking platform

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.

June 19, 2018

Microsoft Partner Awards 2018 Winner in Artificial Intelligence

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.

June 8, 2018

Case Study: ML-based module to detect users’ fraudulent activity

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.

March 6, 2018
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