As technology continues to advance, we are witnessing a transformation in how we approach problem-solving. In particular, artificial intelligence (AI) is reshaping the landscape of urban innovation, empowering individuals and communities to collaborate in creating smarter, more inclusive cities. The Evolution of Problem-Solving Tools In the past, challenges were tackled by specialists working in silos, […]

In the fast-evolving world of data science and AI, ensuring that workflows are reproducible, portable, and scalable is essential for success. However, many modern tools prioritize ease of use over standardization, making it difficult to share and execute workflows across different environments. The SEDIMARK team tackled this challenge by creating a transformation methodology to convert […]

1. Introduction As part of the SEDIMARK toolbox that Users will use for configuring AI and Data Processing pipelines for their use case, AI tasks such as forecasting are made readily available for inferencing on Data Assets. Time series forecasting has a wide range of applications across various fields, including financial market prediction, weather forecasting, […]