Image by MythologyArt from Pixabay

Hello,

Here are the footnotes I wrote on my real Frameless Notebook this March.

Haven’t read the Footnotes of February? Click Here

This month, I watched two amazing series that prove intensive, relatable stories are key to driving spectators to streaming platforms. I also continued my learning on blogging in 2025 and improving my professional identity online. It was fascinating to analyze successful bloggers—their content strategies, promotion tactics, and productivity hacks.

On another note, AI continues to disrupt creative work, and data is overrated.

On Personal

Between Shōgun and Adolescence

On one side, a historical series about japan, the Samurais and Europeans, featuring a strong plot centered on strategy, power, and all the intrigue we love about political conflicts from another era.

On the other side, a realistic drama about teenagers, with a gripping plot centered on crime, parenting, and all the existential risks we dread in today’s hyper-connected society.

I really enjoyed both series for different reasons.

In Shōgun, everything is visually stunning—the cinematography is breathtaking, the actors deliver outstanding performances, and each faction is well-represented. So far, there are no plot holes, and the tension is palpable—you can feel it right from the couch. Every scene is a spectacle, making it an absolute pleasure to watch.

As for Adolescence, we binge-watched it in one evening. It’s the kind of “long”-format storytelling that makes you want to keep going at the same pace as the show. What amazed me the most was the depth of the characters and the incredible performances from the actors, especially as the episodes were filmed in a single shot.

Both are absolutely worth watching if you enjoy their respective genres.

Blog Development Endeavours

I knew that just having a blog wouldn’t be enough to build an audience, so I’ve been working on the bigger picture. I improved the site’s analytics, set up SEO, and started building my Instagram and LinkedIn accounts as key pillars of my online branding.

In the last seven days, I had six unique readers—real humans! Hehe… A small but nice start. Tracking these again feels good.

On Professional

AI Continues to disrupt creative work

I’m not sure how I feel about the new ChatGPT model and its ability to let anyone generate animated visuals in styles like Ghibli, Pixar, or The Simpsons. This takes fanfiction to a whole new level but also raises serious concerns about copyright and intellectual property.

If I were an artist with a unique style, why would I risk having it easily stolen by AI? Never!

Like everyone else, I tested the Ghibli-style animation on a personal photo, and yeah, it looked awesome. But at the same time, I felt a bit… dirty. Dishonest. And deeply worried about the future of original creative work. How can it survive if anyone, anywhere, can instantly replicate it? Today, it’s just images—tomorrow, it’ll be entire motion pictures.

And unfortunately, regulation and lawmaking are moving way too slowly to protect the victims—the artists, the authors, and the brilliant creative teams behind these works.

If you’re interested, check out these articles:

Furthermore, it really feels like just a gimmick to get people to voluntarily upload personal photos and videos—essentially giving AI more training data on a silver platter.

I asked ChatGPT about this, here’s what it says:

(…)Regulation is slow, and even when it comes, enforcement will be another challenge. Meanwhile, artists and creators will have to find ways to stand out and protect their work in a world where imitation is increasingly effortless.

If AI could “think” the way humans do, I’d probably say, Oops, my bad. But since I’m just a tool shaped by the way people use me, the real issue is how society decides to implement and regulate AI—not the tech itself.

I’d love to hear your take: Do you think there’s a way for AI and original creativity to coexist fairly? Or is it a losing battle?

Data is Overrated

Just a hot take I’ve been thinking about lately. You’ve probably heard that too much information can jeopardize decision-making. That’s why it’s crucial for any decision-maker to act before reaching the point where additional data becomes more of a burden than a benefit.

I recently encountered this firsthand—not in the analysis itself, but in the decision-making around it. We already had enough data to confirm our hypotheses, cross-check them, and make solid recommendations. Then, a stakeholder requested the addition of a new dataset. It didn’t change our findings or recommendations in any way, yet its introduction at that stage planted doubt among key stakeholders. Suddenly, we had to go back and revalidate everything from the ground up to realign on methodology and results. It was stressful, time-consuming, and, honestly, unnecessary.

So yeah, data is overrated. At some point, we need to recognize that more data won’t always improve an analysis in a business setting. Instead, we should ask: Are we focusing on the right problem? Are we investigating it properly? Data should support decision-making, but it should never be the only driver.

That was March for me—not exactly fun, but full of insights. I gained a better understanding of how to navigate this challenge in future projects, and I’ll definitely be applying these learnings in April.

How about you? How was your March?

Hey, spring is here—enjoy it! 🌱☀️

Daniel M's avatar

By Daniel M

One with a curious mind.. Sharing my journey as a lifelong business analyst through the timeless art of writing.