To progress as whole, holistically, as an advanced knowledge community, beyond boundaries, “Learning” accomplished either by Human or Machine has to be measured, objectified, quantified, qualified, summarized, contextualized, governed, actualized and lived. Many human discoveries were also because of organization of knowledge, best example I could think of could be Periodic Table, which lead to…
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Feb 12-13, 2020 The Sixth Annual Big Data & Analytics Canada Summit took place on Feb 12-13, 2020, in Toronto. I flew in the night before and met the amazing team at Strategy Institute. The first day of the conference, we heard from several amazing speakers. Jim Love – CEO of IT World Canada was…
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In my opinion there are many different ways & techniques to analyze the data and every individual brings in their own flavor to it which is unique & exciting to learn from. Through this article I wanted to focus more on the key ground rules (non-technical ones, as per me) to keep in mind before…
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There are so many new trends in the field of data science and AI. In my opinion, the one that would impact all future AI and systems would be – voice recognition. There has been a huge amount of work that had been done in this area in the past decade. With the increase in…
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Due to regulations (GDPR) it seems to get more and more difficult to set up data lakes to train AI, use data for a brother range of research then it was initially collected for or use it in line for valuebased healthcare. How can we be inventive to act in line with the GDPR but…
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