Blog

Glimpse into the Sixth Annual Big Data & Analytics Canada Summit

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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My Ground Rules – Data Analysis “Before & After”

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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The trend which will have an impact on all future AI

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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Data use in care

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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Conversational AI

Conversational AI has revolutionized Artificial Intelligence and had a potential impact. I think this has really helped in resolving customer issues in all domains like- Booking flights, hotels and so on. This basically helps in all domains and it was about time we got this technology in all domains. It seems trivial but it’s extremely…
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A One in a Billion Face

Is Your Face One in a Billion? Is your face one in a billion?  This is a question you might not have ever asked yourself yet it is one that is worthy of some consideration.  Facial recognition accuracy has been rapidly improving over the last several years.  If these improvements continue at their current rate…
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What I learned from over 100 Data Science Interviews at Amazon

Interviewing is a very subjective process. Each role, candidate, and interviewer is different, and therefore there can’t be a strict set of “rules” that specify how it is best done. This article is purely a set of learnings gained from interviewing many candidates throughout my career to date, including over 100 Data Science & Analytics…
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Automation and Displacement: The Economic Fears of AI

Hollywood and modern media have taken creative philosophical license in promoting either the benefits and/or dangers of automation. However, from an economic point of view, there are some who are grumbling about the potential impact of AI, displacing millions of people into unemployment and into other safety net programs that strike fear into the heart…
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Difference between Machine Learning and Deep Learning

A machine’s ability to mimic human behavior is ARTIFICIAL INTELLIGENCE (AI). Machine Learning (ML) is a subset of AI, & Deep Learning (DL) is a subset of ML.  ML provides systems the ability to automatically learn from experience without being explicitly programmed.  Examples: Spam email detection, Online fraud detection, YouTube video recommendations DL is ML…
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A Human Journey

The true inspiration of AI ( Artificial Intelligence ) is the never ending quest to discover human himself, and the process of discovery can be to make something, which can enact with Human Intelligence. For examples lets recollect our journey as a kid, and how excited we were when we saw the wild animals. Filled…
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