The eScience Center’s Technology Forecast highlights transformative trends in artificial intelligence (AI), computing, data processing and data analytics . Key Points: AI-powered innovations : AI advancements in natural language processing (NLP) and computer vision promise to revolutionize data analytics, with efficiency gains and cost reductions expected. Computing challenges: addressing limitations through hardware specialization and exotic architectures like quantum computing poses programming challenges, potentially leading to a shortage of experts. Cloud solutions : cloud-based access to high-performance computing (HPC) hardware is increasing, emphasizing the need for portable libraries to prevent vendor lock-in. Data explosion and edge computing : improved sensors and Internet of things (IoT) devices result in a data explosion, leading to efforts to process data closer to sources for cost reduction and enhanced privacy. FAIR principles : adherence to FAIR data principles is crucial for a highly distributed infrastructure, promoting findability, accessibility, interoperability and reusability. Data analytics : to meet challenges in extracting value from massive amounts of unstructured data, recent developments focus on techniques like dimensionality reduction and incremental learning. Augmented analytics and edge insights : augmented analytics targets accessibility for non-experts, while edge analytics ensures real-time insights closer to data sources.