The increasing pressure on every business to derive more value from their data is accelerating the adoption of edge computing, machine learning and many associated technologies. Increasingly, this requires a combination of public cloud alongside specialised hardware and ML algorithms in customer data centres to achieve the best balance of agility vs efficiency. This session looks at the various approaches and lessons learned in generating large and/or IoT datasets, and how companies have used them to evolve, improve or transform their capabilities using HPC or AI techniques.