Category Archives: Blog-Analytics and Artificial Intelligence

Big Data and Artificial Intelligence Conference, St Lawrence College!

With the SLC Business Analytics student volunteers that led the organization of the SLC Big Data and AI Conference 2019!

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AI Ethics

I predicted towards the end of the year that AI Ethics will be a hot topic this year and, my prediction is gradually becoming reality. Below is a link to a good read on AI Ethics. https://www.theverge.com/2019/4/3/18293410/ai-artificial-intelligence-ethics-boards-charters-problem-big-tech

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AI and Data Analytics Workshop with High School Students

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AI and The Future of Work – St Lawrence College

Had a great opportunity speaking to students about AI and The Future of Work

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AI and Bias

I came across an interesting read on how the tech industry is advancing practical ideas for ensuring that Artificial Intelligence is ethical and fair. https://www.bloomberg.com/opinion/articles/2019-03-07/ai-researchers-are-pushing-bias-out-of-algorithms

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AI and The Future of Human Resources

Had a great time speaking at the annual HRPA conference on “AI and The Future of Human Resources”.

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AI and Impact on Business Analysts

Had a great time speaking to the BA community at EDC (Export Development Canada), Ottawa, Ontario.

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Artificial Intelligence and 2019

2018 was a great year for Artificial Intelligence (AI) and Machine Learning (ML) applications! According to Gartner, “Global business value derived from artificial intelligence (AI) was projected to total $1.2 trillion in 2018, an increase of 70 percent from 2017. AI-derived business … Continue reading

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IBM Africa and Hello Tractor pilot AI/blockchain agtech platform

A good read on how a startup is leveraging AI, blockchain and IoT to help farmers in Africa. Interesting to see how these emerging technologies can be leveraged within a singular platform to enhance lives. https://techcrunch.com/2018/12/20/ibm-africa-and-hello-tractor-pilot-ai-blockchain-agtech-platform/

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Generative Adversarial Network

Generative Adversarial Networks (GANs)  were introduced in 2014 by Ian Goodfellow  and his colleagues (at the University of Montreal) and has been called the most interesting idea in the last 10 years in Machine Learning. According to Wikipedia, “Generative adversarial … Continue reading

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