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Automation Test
This is a post published through GPT and the proxy.
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Sustainable computing practices: When “clean” tools aren’t clean
Most people think the sustainability fight is about switching to electric cars, ditching plastic straws, or planting trees in some far-off offset program. But the hard truth? Even the tools built to save the planet quietly siphon energy, burn carbon, and leave their own digital soot behind. A focus on sustainable computing practices is the…
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Measure What Matters analytics: Stop measuring what you can’t fix
You launch the sprint review. The metrics deck lands on the screen: customer churn, social media mentions, page load times, net promoter scores. Silence. No one speaks because no one knows what action any of it demands. That’s the quiet killer of analytics culture. We gather numbers, not because they guide us, but because they…
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Digital waste sustainability: Data hoarding is killing the planet
Everyone loves the cloud. It’s sleek, infinite, invisible. Except, it’s not. Somewhere, your old client PDFs, 15 versions of pitch decks, and half-downloaded video files are sitting on a humming server, guzzling electricity. Multiply that by millions of people, and suddenly digital clutter isn’t just a nuisance, it’s a carbon-spewing monster. Digital waste sustainability is…
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AI adoption challenges (and what to do about them)
Your team launches an AI tool. The tech is solid, the data is clean, the hype is high. And then… nothing happens. Adoption flatlines. Users ghost the dashboard. Efficiency gains vanish into the fog of “maybe next quarter.” This is the normal lifecycle for AI adoption challenges. Here’s the part nobody wants to admit: the…
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AI carbon footprint: The green tech myth hiding behind dirty data
They were selling sustainability, but storing customer data like it grew on trees. The AI carbon footprint problem and how to start solving it. I once worked with an AI company touting itself as a green-tech pioneer. Their platform promised to help organizations track and reduce carbon emissions using machine learning. But when I asked…
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RPA process readiness: Facing automation challenges
Before diving into robotic process automation (RPA), uncover the common RPA process challenges and how preparing your process maturity can ensure your RPA process readiness . You sit down to automate a workflow, you hear “we want to reduce manual effort,” and you think, “This is straightforward.” But halfway through the kickoff, the process unravels.…
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Dashboard data decision making is about asking the right questions
Effective dashboard data decision making starts not with visuals, but with questions. There was a client I worked with where every team was flying their own plane. Product had a dashboard. Marketing had a dashboard. Ops had a dashboard. Each one was built on whatever tool the team liked best: Tableau, Looker, Power BI, even…
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Tech stack optimization: When tools become the problem
There was a moment during a client meeting when I looked at their tech stack and thought, “This isn’t a tech stack. It’s a tech Jenga tower. And it’s about to fall over.” My client was in desperate need of tech stack optimization. They were using ten different pieces of software, all proudly listed out…
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Carbon cloud footprint: The hidden cost of cloud data
Have you ever thought about your cloud storage’s impact on the environment? Like most people, I never considered the storage of my data or the negative consequences thereof. The cloud was an ephemeral entity that absorbed my data into lightweight nothingness. It turns out I was very wrong. As my tech prowess grew, so did…
“Smarter Data for a Greener Future”