Category: Big Data
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Trends in Data Science for 2020 & 2021
I have not published any article for more than 2 months. It was extremely busy for the re-work on different project schedules and additional administrative work due to the coronavirus crisis. For this time, I would like to share an article planned to published by the end of January 2020. It’s about the coming trend…
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AI Canvas to Work out AI
In this article, I would like to share the simple decision-making tool named AI Canvas and being used in MBA graduates at the university of Toronto’s Rotman School of Management, by professor Ajay Agrawal, University of Toronto. Before going into further details, it is vital to declare that AI / Data Science / Prediction…
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Hardware Investment on Data Science in 2019/20
In this article, I would like to share some technical staff rather than high level data science topic for managers. There are more and more organizations investing in Machine Learning (mostly TensorFlow) including the installation and configuration of new servers and GPU for the intensive computations. Different hardware or cloud service will be discussed. Development…
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Data Science & Design Thinking
Data Science is always being a hot topic in the market. Many people are seeking for Data Scientists to help their businesses. However, there are lots of failure cases in different industries. Why? Many technical people including data scientists are always focused on their own technical aspects like statistical model, machine learning algorisms, etc. On…
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How does an organization choose a Data Science consultant company?
First of all, you may say that the writer of this article is a consultant himself. With my experiences in the industry, I have been worked at “in-house” for risk management in a subsidiary of a bank and working as a consultant in most of my life including SAS Institute (HK) and other different consulting…
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The Road to Analytic Success – 5 Steps BADIR Approach
This article is aimed to share the BADIR approach by Piyanka Jain, who is running a data science consulting company in the state. My data analytic career was started the SAS Institute consulting team and I was applying Six Sigma – DMAIC approach for projects. After studying this approach by Piyanka, my project team is…
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Data Science Interest Group @ LinkedIn
Recently, I have created a new “Data Science Interest Group” on LinkedIn. Joining this group will allow you to find and contact other people interested in the Data Science, so you can stay in touch, gain knowledge, and view other attendees’ LinkedIn profiles. https://www.linkedin.com/groups/10469946/ Hope to see you in the group! Samuel…
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IoT Security – Issues & Suggestions
In recent years, there are more & more IoT devices being introduced in the business environments and households. Personally, I am running a real-time environment monitoring platform on the Data Science / Computer Lab in Hong Kong. With the data produced by IoT devices, it has to be transmitted, processed and then stored in somewhere…
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Only 1 Project Management Approach in my Data Science Journey
As working in a leader role of a data science company, I would like to share my experience in managing different projects under different scales across industries. It could be concluded by one single word Iteration There is only one single project management approach being employed by our team. For this approach, it helps me…
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10 Myths of Data Science Exploded Totally
There are multiple myths floating around that add a false aura around data science roles and the related industry. The myths are built by people highlighting or even magnifying the benefits of data science with a number of use cases. I am always using my own term “verbal experts” to classify such people in the…