Gianluca Carrera

Latest Articles

  • All Posts
  • AI
  • Data
  • Digital Products
  • Platforms

Leading data initiatives at companies like dunnhumby and Reward, where we tracked billions of transactions worth billions of pounds, I’ve observed a common mistake about data monetization: the belief that selling raw data is a great way to...

In my years leading data and product initiatives I’ve seen firsthand what really drives successful AI projects. While the focus is often on sophisticated algorithms and cutting-edge models, fancy use cases and cool demos or prototypes, the reality...

Over twenty years ago, at Yahoo!, I witnessed the birth of digital platforms. We thought connecting advertisers with publishers was revolutionary. It was just the beginning. The evolution of platforms tells an interesting story about value creation. From...

Customer churn is and will always be a critical metric for product success — sometimes it can even be a nightmare! Let’s try to understand its complexities, and to provide some actionable insights for product managers to effectively...

Let’s take a very broad definition of a platform: an infrastructure designed to facilitate interactions between producers and consumers. So Amazon is a platform, where producers make goods available to shoppers for purchase. But so are Facebook, Instagram...

I finally found time to expand a bit on a previous post about what’s holding up data monetization. Many of you reached out with interesting questions and observations, especially around the three key barriers I identified: resources, culture,...

Some of you have asked about my take on #DeepSeek’s recent announcement, and it’s sparked some interesting thoughts about where the AI industry might be heading… If DeepSeek’s claims about #R1 training costs hold true – suggesting they...

Data monetization remains a hot topic in boardrooms, yet many organizations still struggle to extract significant value from their data assets. Despite the enthusiasm around data monetization and AI, why do so many companies still fail to capture...

Here are three critical mistakes I keep seeing companies make with their data: Don’t believe quantity makes up for quality Don’t skip the foundation work Don’t build without clear business goals Your expensive data lesson? I’d love to...

Questions? Need help? Get in touch.

Scroll to Top