Machine learning

Let’s explore real-world examples of how AI is making a measurable impact in treasury for cash flow forecasting, AR automation and reporting. You’ll see under what conditions AI works best and when standard automation methods might be the better choice.

Explore our two new expert-led workshops aimed at guiding you through developing a solid AI strategy and uniformly applying one of the popular AI-powered tools, GitHub Copilot.

ValueXI, our proprietary platform for the rapid deployment and integration of AI projects, has introduced new features: support for the Large Language Models ChatGPT and LlaMA for data management challenges, and intelligent RAG-based searches across corporate knowledge bases.

Drawing on years of experience in Artificial Intelligence development, we've discerned patterns in AI projects and crafted an approach that enables us to create and implement a high-quality MVP (Minimal Viable Product) within just one month. Which significantly reduces costs, time, and risks associated with development. Let us share how we reached this point and what results it has brought to our clients.

Let’s unveil how to build a centralized request management system and solve the problem of inefficient request processing using Artificial Intelligence.

The MLOps concept helps optimize and automate AI/ML infrastructure maintenance, saving resources. Let’s break down the benefits and functionality of this approach, and observe the industries where it shows the greatest effectiveness.

Marketplaces pick out products for customers that perfectly meet their needs, and streaming services create personalized music and video compilations. This is possible thanks to recommendation systems. Let’s unveil how to develop one.

Futurology, an online magazine covering Machine learning, Artificial Intelligence, Predictive Analytics and Natural Language Processing topics featured WaveAccess in their latest Innovative Companies list. 

WaveAccess took part in the development of the MyPlasticDiary web application MVP, which aims to make it possible to track and control your level of plastic consumption, find the nearest recycling points and thus reduce your plastic footprint.

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 data and make the data work or you, producing profits. But the ideal basis – of realistic, correct, and properly labeled data in the right quantity – is almost never the case.

SKOV is the world's leading supplier of climate and farm management solutions for livestock production. SKOV has been collaborating with WaveAccess for over 3 years. Here we talk with Esper S. Riis, Project Manager of SKOV, who kindly shares our success story. 

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 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.