The public sector is exploring new ways to improve efficiency. A significant amount of savings can be achieved through the use of AI to eliminate unnecessary administrative work and ensure that resources are allocated where they truly create value.

We are in the midst of a technological revolution. Generative AI is not just changing how we work: it’s changing what we work on and how public authorities can support society.

Welcome to Power BI Café where you can get insights to the most interesting news and updates in Power BI. This time we will look into TMDL View, Visual Calculations, Table View and Style Presets.

Earlier this month, Stockholm hosted the 10th annual Data Innovation Summit: a gathering of over 3,000 professionals pushing the boundaries of data and AI. As the pace of technological advancement accelerates, this year’s event asked a critical question: How do we turn innovation into business impac...

Streamline ways of working with Databricks Assets Bundle Templates

By implementing APIs, energy companies can present personalized real-time data and create a seamless customer experience that builds trust. Learn more about how energy companies can improve customer satisfaction with APIs.

Each year, the Swedish Energy Agency publishes a report providing a detailed analysis of Sweden’s fuel consumption. For the first time, this year’s report is available in an interactive format, developed with support from twoday. Visualized in Power BI, the report offers a dynamic and engaging way t...

We believe that Hybrid AI, which combines Generative and Non-Generative AI, will represent the next advancement in the impact of AI on business and industry.

In today's data-driven world, it's crucial for businesses to be able to collect, analyze, and use data effectively. Microsoft Fabric is a platform that can help companies do just that. In this article, you will learn why Microsoft Fabric is a valuable platform for companies looking to become more da...

In this article, we dive into the dangers of poor data quality in AI systems. We explore various forms of poor data, how it can negatively affect AI systems, and how to avoid these issues. We highlight strategies for identifying and correcting poor data quality problems, and discuss the importance o...