As we’ve entered into the data and AI industrialisation and stabilisation decade, and leaving behind us the pioneering/piloting phase, working to become Data/AI Ready is the next logical step for one data-driven enterprise.
Errol Koolmeister, Head of AI Tech & Architecture at H&MXAI, talks about the changes with AI and data analytics as well as the future of the retail industry.
Mats Stellwall, Data Scientist at Oracle and a Data Innovation Summit 2019 speaker, shared his observations on the developments with AI, machine learning and deep learning.
Peter Jönsson, a Solutions Architect at Tableau Software and two-times Data Innovation Summit speaker, shares his views on the most notable breakthroughs with data analytics, as well as the current challenges decision-makers are dealing with, and his predictions for data analytics.
Clair demonstrated a deep learning method that can be used to detect duplicate code at GitHub, which is more than half of all the code on the platform.
Boris Volavicius in his interview talked to us about the benefits of IIoT, some challenges that are still to be tackled and his prediction for the industry.
The prolific career of a data scientist can have its roots in an innocent child’s dream to predict soccer results. Or at least that was the case for Gábor Stikkel, an accomplished Senior Data Scientist at HID Global and speaker at the Data Innovation Summit 2019.
Kim Næss, the person regularly representing Hitachi Vantara at our summits, talked through his views on the state of AI and data science.
Adrian Badi sees AI developing into two extremes, but the path it takes depends on how we choose to develop these principles moving forward.
Amer Mohammed is a Data Innovator with a strong impetus to lead companies on the data road and prepare them for the digital economy.
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