Product Leadership
We’re witnessing a pivotal moment in the world of computing. It’s not every day that a single breakthrough can redefine our perception of what’s possible. Yet that’s precisely what Google’s Willow chip represents—a quantum leap that promises to reshape how we solve problems, build
Product Leadership
It’s that time of year again—Spotify 'Wrapped' season. Everywhere you look, people are sharing colorful snapshots of their listening habits: the Top Artists they couldn’t stop streaming, the Most-Played Song that got them through the tough days, even quirky trends like “Your Listening Mood at
Agile Development
In an era where inflation is eroding the availability of cheap capital, designing efficiently has never been more critical. As product managers and technologists, we're challenged to optimize resources, innovate under constraints, and deliver maximum value with minimal waste. SpaceX's recent successes offer a vivid illustration
AI
With the rapid evolution of generative AI (Gen AI) and AI Agents, companies are rethinking the balance between in-house capabilities and specialized SaaS solutions. Klarna, the global financial services platform, recently severed ties with certain SaaS providers, opting instead to leverage AI to build tailored solutions internally. This decision underscores
AI
Remember the not-so-distant past of telecommunications. There was a time when making a phone call meant planning your day around finding a phone booth, ensuring you had change in your pocket, and hoping the person you were calling was near a phone. Fast forward to today, and telecommunications are no
Tools & Technologies
The past few years have made one thing abundantly clear: tech companies, like many industries, go through cycles of expansion and contraction. In this context, we often talk about two distinct phases—lean times, where resources are constrained and companies must focus on doing more with less, and buffered times,
Agile Development
There’s a powerful scene in the movie Jobs that perfectly illustrates a common mistake product teams make. In the scene, a group of technical experts is trying to sell a store clerk on a "computer." To the engineers and developers, the computer is a marvel of technology—
Product Leadership
I remember early in my career, sitting down with one of my mentors for a chat. He ordered a coffee—his third of the day, I’m pretty sure—and if you know me, you know I stuck with my usual glass of water. At the time, I was just
AI
A few days ago, a friend who’s a lawyer asked me something I’ve been hearing a lot lately: “Is AI going to take my job?” It’s an honest question that many professionals are wrestling with. My response surprised him: “One day, it probably will.” But before he
AI
AI development, unlike traditional software engineering, isn’t a straight line. Models need to adapt to new data, user behaviors, and shifting business conditions. In fast-paced environments, agility becomes more than just a buzzword—it’s a necessity. The key to success in AI is to build systems that can
Product Lifecycle & Roadmaps
When it comes to product roadmaps, most of us are used to thinking in linear terms. We develop features, launch them, and then move on to the next big thing. But with AI, the roadmap looks a little different. Unlike traditional software features, AI systems don’t just get built
AI
Building AI-powered products isn’t just about understanding the technology—it’s about bridging the gap between product goals and technical execution. To get AI right, product leaders need to collaborate effectively with data scientists. It sounds simple, but in practice, these two groups often speak different languages, and misalignment