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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I want to share this practice that I believe will make you a better manager and a better person. I might not be able to do these all the time, but I am trying. If you catch me failing these, do not hesitate to let me know. In the realm of management, we often focus…
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These are some challenges that I have experienced myself in consulting companies implementing data projects. I have students on both sides of the fence, and I have heard they complained about each other often enough. In this article, I correlate these challenges into ten challenges. In the modern corporate environment, the synergy between Data and…
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I have many students whose backgrounds are in IT, so I have heard many horror stories about the problems they have with the data team. I also heard similar stories from my students in data teams who have to work with the IT team. In today’s data-driven world, organizations increasingly rely on seamless collaboration between…
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“Jack, a director at TechPR, was thrilled by the potential of artificial intelligence after reading several articles praising its transformative capabilities. Convinced it was the perfect solution to streamline their customer service operations, he hastily decided to implement an AI system, expecting it to be a straightforward process. Confidently, he instructed his team to proceed…
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As a technical advisor, I have witnessed this scenario happen a lot in Asia. In today’s data-driven business landscape, integrating technical insights into strategic planning is essential for maintaining a competitive edge. However, a significant problem arises when upper management lacks data technical skills and makes strategic decisions without incorporating the input of data engineers…
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Lately, I have attended several data meetups in Asia, and I have observed a problematic situation. Many upper management are letting engineers and technical people run the company’s technical strategy. This scenario is understandable as many upper managers need to gain new data technical skills and must rely on technical people for the issue. The…
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My last story was about empowering Universities with the data mesh, such that faculty can easily build data products that students and upper administrators can consume. Unfortunately, this is rather complex and very challenging, and your data mesh project can easily turn into a mess. While the concept of Data Mesh has gained traction in…
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I had a vision that every faculty would have data products where these products are geared toward providing a better student experience. However, getting the project through upper management is not an easy task, and I have the experience firsthand. Convincing a university president to invest in a Data Mesh project involves presenting a compelling…
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One of the most difficult tasks that I have experienced as a data consultant is helping companies build an effective and economically sensible data team. The main reason for this difficulty is that companies do not understand the importance of building a data team systematically so that the team can grow and scale with the…
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I have seen so many companies in Southeast Asia trying to get on board the Gen AI and ML train. Unfortunately, many companies are not choosing appropriate applications on which to focus their Gen AI and ML resources. In this article, I will focus only on using Gen AI and ML to improve customer experiences…
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