Category: Management
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Fusing AI Canvas and BADIR: A Unified Approach to Transformative AI Projects
The BADIR (Business Question, Analysis Plan, Data Collection, Insights, and Recommendation) framework and the AI Canvas framework share some common principles as they both provide a structured approach to AI and data science projects. Let’s explore how they can work together: Alignment of BADIR and AI Canvas: Business Question: Both BADIR and AI Canvas…
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Journey to Becoming a Data Scientist: A Comprehensive Guide 2023
Introduction: In today’s data-driven world, the role of a data scientist has gained immense significance. Data scientists play a pivotal role in extracting valuable insights from vast amounts of data, driving business decisions, and solving complex problems across various industries. If you aspire to become a data scientist, this article provides a comprehensive guide to…
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Maintaining Health and Well-being During Long Office Hours: Essential Tips for Every Individual
Introduction: In today’s modern work environment, many individuals spend a significant portion of their day sitting in front of computers, leading to potential health issues. Prolonged sitting, poor posture, and repetitive tasks can contribute to musculoskeletal problems, eye strain, mental fatigue, and overall sedentary lifestyles. This article aims to provide practical suggestions for individuals to…
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5-year Strategic Plan on Data Science Development
This guideline is based on my personal experiences in tens of data analytics & data science projects and consulting works for the last decade. It should be fit for different organizations including corporations, non-profit organizations and institutions. Here is my suggestions on possible actions throughout a 5-year periods: Year 1: Building the Foundation…
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Importance of Real-time Data Analytics
Real-time (or better say near real-time) analytics make sense of all the real-time data that passing around an organization. Once a business is able to analyze data in real-time, they can generate insights during data streaming instead of storing and analyzing it in batches. Traditionally, data analysis happens once the data has been captured and…
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Career Opportunity
My team (SDI) is hiring the position of Assistant Data Engineer (trainee) based in Hong Kong. It is an opportunity to develop your data science career. Our client includes: Fortune 500 Government Departments Listed Corporations Statutory Bodies and … many more Please check the job ads: LinkedIn: https://www.linkedin.com/jobs/view/122773078/ WWW: https://smartdatainstitute.com/jobs
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Different Stages in Data Science Team Building
In general, there are 3 stages of building a data science team. Early Stage Mid Stage Late Stage (Mature Stage) For each stage, the team structure of a data science team should be different in order to meet the needs within the business or organization. Organizational Models Meanwhile, there are 3 different types of Organizational…
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Five Ways to Build a Data Science Team for your Organization
As a data science consultant for years, I would like to share my viewpoints and experiences of developing the capability for a data science team for any organization. (NOTE: this article is aimed to share building data science for general business. However, it is not for helping you to build a Data Science consultancy or…
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Forgettable CentOS Server
There was an announcement from CentOS team. CentOS is going to farewell by the end 2021 and to be replaced by CentOS Stream. CentOS Steam will be no longer positioned as a server OS and releases just ahead of a current RHEL version. Original Announcement: CentOS Project shifts focus to CentOS Stream – Blog.CentOS.org This…
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Bookshelf for a Data Scientist
As a data scientist, reading book is a daily activity and most of my skills are built from reading. However, I am always reading different types of books outside the data science tools and technology. I would like to share some of the books recommended across different areas. Methodology When doing Data Science, many…