We don’t want tools.

We don’t want solutions.

First and foremost, we want data. Data that derives from interactions with our public of interest.

The core of business transformation is the digital feedback loop. How do you draw data from your customers, your products, your people, and your operations? How do you reason over that data using AI to create actionable insights?

— Satya Nadella

That data used to be overwhelming to any company to manage. Not anymore.

Now with AI at our disposal, we want all the data our interactions could ever produce.

We want to serve AI models today, tomorrow and the day after with data from primary sources, and then post-processed data from different AIs.

The more people use an AI, the smarter it gets. The smarter it gets, the more people use it. The more people use it, the smarter it gets. And so on. Once a company enters this virtuous cycle, it tends to grow so big, so fast, that it overwhelms any upstart competitors.

— Kevin Kelly

In reality, we want different models to ping-pong our data as much as they like until… Eureka!

Until they find new value to our company.

And better than having granular tools generating small bits of uncorrelated data all the time, we want interconnected systems supporting processes from end-to-end whose data is way more enriched with context, actors, pre-conditions and results.

Digital systems are the most fertile soil for quality data for AI.

Digital systems provide the data that AI needs.

Digital systems is what we want.