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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We are no longer dealing with narrow AI use cases that optimize conversion rates or automate customer service responses. The era of general AI is here, where models can understand context, reason across multiple domains, and make decisions with minimal supervision. This model massively changes the game. And as CTOs, our data strategies must evolve — or…
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This scenario is why my colleague and I started a graduate program in Management of Analytics and Data Technologies four years ago. The technological tide of Generative AI is undeniably reshaping the landscape of data teams. We must confront a stark reality: there is a highly likely chance that Gen AI, wielded by senior team…
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Agentic AI is here – not in theory, not in beta, but in production. As a CTO and educator, I see the greatest challenge ahead isn’t in the tech stack – it’s in the org chart. Photo by Andy Kelly on Unsplash We’re no longer talking about AI as just a tool. We’re talking about autonomous…
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As both a CTO and an academic, I’ve watched the agentic AI movement evolve from cutting-edge experimentation to corporate adoption at a dizzying pace. Businesses are racing to build autonomous decision-making pipelines, cost-cutting operations, and AI-generated workflows. The vision is seductive: eliminate human error, accelerate scale, and reduce labor costs. Photo by Brian McGowan on Unsplash…
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A data strategy is a comprehensive plan that defines how an organization will collect, manage, use, and govern data to achieve its business objectives. It’s not just about technology — it’s a business capability that aligns data initiatives with corporate goals. Photo by Maarten van den Heuvel on Unsplash In my dual role as a CTO and an…
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When I stepped into the CTO role, I assumed my technical strategy would speak for itself. Clean architecture, cloud-native stack, reusable components, LLM-ready pipelines, and a scalable data lake — what’s not to love? But I quickly realized: a technically sound strategy without alignment to the corporate vision is like having a compass without knowing where the…
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I was inspired by my younger colleague, whom I had recommended read a summary MBA book, so he could better understand business units. Photo by Adam Nowakowski on Unsplash A year later, he messaged me, thanking me — the book had indeed helped him a lot in understanding business unit requirements. That short message confirmed something I’ve been…
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When I walked into the company for the first time, I could smell the fear of due diligence. Photo by Mariana Alves on Unsplash You know, the kind — half-built dashboards, duplicated datasets, undocumented pipelines, and a team that had somehow made it all work just enough to avoid a full meltdown. But the founders had a bigger…
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By Someone Who’s Lived Through It Photo by Mikael Kristenson on Unsplash Let me be blunt: building a data-driven university in Asia is not just difficult – it’s borderline impossible under current institutional constraints. Especially, if you came from a more business environment. I’ve tried. I’ve proposed dashboards. I’ve pitched enterprise data platforms. I’ve presented to…
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I crafted this just for a kick. If Dante was a data engineer, using the framework of The Divine Comedy (Inferno, Purgatorio, and Paradiso): ⸻ Photo by Art Institute of Chicago on Unsplash Inferno (Ingestion): Ingestion is the chaotic hell where all data arrives, unfiltered, unstructured, and unapologetic. Logs, APIs, streams, CSVs – all pouring in…
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