The Future of Data Science and Machine Learning at Enterprise Scale


This webinar will take you through the most common challenges of utilising your data for modern machine learning and analytics:

Find out how you can use your data warehouse to complement your modernising of data learning and intelligence. We will show you how you can utilise any data from any source for your machine learning and analytical needs and formulas. We will demonstrate how the success of your machine learning and AI is dependent on your data.


Brian Flūg has decades of worldwide demonstrated experience as a pioneering Technologist with expertise in big data, analytical, distributed intelligent cloud computing, HPC, IoT wizard, HPC/ML/AI data storage, data intelligence and CAE/CAD/CAM/CFD. He has experience in life sciences, medical, financial, entertainment, gaming, manufacturing, defense, DOE, DOJ, automotive and consumer goods industries.

Brian is a Solutions Strategist with Qubole who has demonstrated success in computational solutions, from supercomputing, cluster and grid computing, to pre and post cloud computing, research, business intelligence, scientific analytics and engineering. He brings a wealth of knowledge to his role supporting Qubole customers and ensuring they are maximising their return from the tool.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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