Booster Analytics
Agentic AI & Data Consulting for Bold Organizations
recent posts
- Leading Through the Shift: How a Technical Manager Can Manage AI Team Members
- The Agentic AI Strategy: From Vision to Value
- Transforming Retail Operations: A GenAI Management Framework for Business Unit Leaders
- When Every Business Unit Builds Its Tech: Why Lack of Strategy Turns AI Into a Mess
- Guardrails for Generative AI: Why a CTO Must Go Beyond PDPA to Protect Both Consumers and the Company
Category: Analytics
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This misconception is one of the most frustrating misunderstandings concepts for me as a lecturer and a consultant to sort out. In the rapidly evolving landscape of data-driven decision-making, the terms data strategy and data activity plan are often used interchangeably. This conflation can lead to significant misunderstandings and missed opportunities. While both are crucial…
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A Case Study: Strategic Migration from Cloud Services to On-Premises to Manage Rising Operating and Professional Services Costs. The article is based on my past consulting experiences. Not only able to have a full control of the direction of company’s analytics stack, it is also a more direct computing the energy consumption of company’s analytics…
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In 2012, Alex, the director of the first Big Data Engineering program in Asia, proposed an innovative idea to the university president and vice president. He envisioned starting a Big Data Engineering and Data Science consultancy under the university’s umbrella. At that time, Big Data and Data Science was a novel concept in Thailand, and…
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Alex is the Director of Innovation at a prominent university. Recognizing the increasing demand for lifelong learning, Alex envisioned an innovative online platform that would cater to learners of all ages. However, Alex faced significant constraints in both human and financial resources. To overcome these limitations, Alex proposed a strategic partnership with one of Thailand’s…
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In this article, I compare and contrast energy sustainability solutions between centralized and decentralized data architectures, examining their respective strengths and weaknesses in terms of energy efficiency. What I have found is that both patterns have different advantages and disadvantages. Companies will be better served by minimizing the disadvantages of the pattern and also maximizing…
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The focus is on optimizing resource usage, improving efficiency, and reducing energy consumption. The following areas are some of the topics that I will explore further in the subsequent articles. Dynamic Voltage and Frequency Scaling (DVFS): Adjusts the voltage and frequency of a processor based on the workload to reduce energy consumption without significantly impacting…
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Our competitors are using Gen AI. We need to do the same. But we will make it even grander: We will be using Gen AI in ALL OF OUR BUSINESSES. Our New CTO, why don’t you go forth and make it happen? Unable to find a better reply and without a new job lining up,…
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Technical debt is something that I have the most difficulty convincing organizations that the debt will come back to haunt them when they least expect it. I also noticed that the same trend is happening in sustainability practices. In this article, I am investigating sustainable debt under the scope of software engineering. Applying the framework…
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Many companies in Thailand are fear of missing out on GenAI. Unfortunately, integrating GenAI into a business model is not easy, especially when most companies in Thailand ask the Technical team to handle the integration. Many of my students who work in tech companies need help achieving this, so I wrote this article hoping to…
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Porter’s Diamond Model Porter’s Diamond Model is a framework for analyzing national competitive advantage. It can be adapted to create a comprehensive AI strategy for a company, considering both internal and external factors to drive innovation and gain a competitive edge. In this article, I use Porter’s Dimond Model to create an AI strategy that starts…
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