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Machine Learning techniques combined with processing power of Graphics Processing Units (GPU) revolutionized AI. Deep Learning evolved as most efficient technology to recognize patterns. GPU databases combine highly parallel processing capability of GPU with fast GPU memory to decrease time to ingest large data sets and to squeeze time to analyze “Big Data” below one second. Discussion Points · How can I use GPUs in a database to visualize results? · Is it possible to connect a GPU database with traditional in-memory databases or Hadoop? #HyperightDataTalks is a video podcast of best presentations, discussions and interviews with some of the most innovative minds, enterprise practitioners, technology and service providers, start-ups and academics, working with Data Science, Data Management, Big Data, Analytics, AI, IOT and much more. All presentations are taken from Hyperight´s Data summits and now available for you. For more interviews, audio podcast and videos from some of the best presentations from our Data Summits, please visit http://www.hyperight.com Presentation recorded during: Nordic Data Science Summit 2016 - http://www.nordicdatasciencesummit.com/ Follow us on Twitter: / datanordics More information about Hyperight: http://www.hyperight.com/ Subscribe to our channel: / @hyperight