Blog

AI transcription automates speech-to-text conversion for faster, more detailed documentation, voice analytics, and multilingual content creation. Leverage advanced machine learning models, large language models, and speaker recognition technology to improve user experience and stay competitive.

Understanding and acting on tabular data, such as CRM and ERP exports, SQL databases, Excel sheets and comma separated values, remains challenging for large language models. In this post we show how an agentic workflow can take on the challenge of understanding tabulated data.

An AI engine acts as a versatile toolkit, enabling businesses to automate tasks previously requiring human intellect. It transforms messy data into structured, actionable insights, streamlining business processes and enhancing decision-making speed.

The first event focused on the tools and infrastructure that enable productive data science, machine learning and analytics projects.

Our second data science meetup of the year was held on 21.3.2023, and it was great!

Here we give a roadmap to creating an effective NLP service, and list some of our favourite tools.

Here, we're demonstrating a new transformer architecture called MEGABYTE, and training it on a new interesting dataset called TinyStories, on a laptop!

An example of applied AI was witnessed by over half a million Finns during a live special broadcast of the Arto Nyberg talk show: we had the opportunity to implement a real-time talking and moving AI avatar for the program.