Data and AI Stories

The gap between “data” and “impact” has been around for years. Dashboards multiply, reports pile up but decision-making often happens without the data in the room. In his latest blog, Max Könnings, CPO at Mindfuel, shares why AI decision-making tools matter now and how the Delight’s Value Agent helps teams define, track, and realize measurable value.

Enterprise Architecture Management (EAM) tools weren't built for the dynamic, iterative nature of data and AI initiatives. In this blog, Jonathan Orschiedt explores why data teams need a purpose-built solution like Delight to drive real business impact.

For many teams, AI-first has meant investing in tools, building models, and launching pilots. But there’s always that critical question: Where’s the value? In this blog, Dr. Andreas Mazat shares a practical 3-step framework for data leaders to make the AI business value visible.

Roadmaps are great, but when it comes to data and AI initiatives, roadmaps alone don’t cut it. In his latest blog, Jonathan Orschiedt explains why traditional prioritization tools fall short for data and AI teams – and how Delight helps you move beyond planning into strategic portfolio management.

Ultimately, the impact and recognition of your work depends not only on the quality of your models or platforms, but on how well you align with the people they’re meant to help. Jonathan Orschiedt explains why communication is the hidden superpower of data teams.

Did we have a data breach? Nope – we just have the same perspectives as McKinsey. Our CPO, Max Könnings, breaks down how McKinsey’s recommendations are already a reality in Delight.

AI teams are under pressure – to innovate, to scale, to show value. But here’s the catch: most are still seen as cost centers, not value engines. In his latest blog, Marius Försch flips the script: What if the smartest AI strategy isn’t about chasing more value – but about minimizing costs?

Sprinting is important. But steering? That’s what separates busy teams from impactful ones. In his latest blog, Jonathan Orschiedt shares why task management tools like Jira are great for execution but not enough when it comes to steering high-impact data and AI portfolios.

GenAI is here to stay and, soon, the focus will shift from flashy prototypes to real impact. In this blog, Marius Försch explains that when that happens, enterprises with real, well-governed, accessible data will be the ones who win.

Are your AI initiatives solving the right problems? Too many organizations invest heavily in AI without a clear link to business strategy. In the blog, Nadiem von Heydebrand explores why AI initiatives often fail to deliver real impact, and what organizations can do to fix it.

The AI hype is over. But the real value? That’s just getting started. In this blog, Nadiem von Heydebrand unpacks what comes after the hype and how companies can transition from experimentation to execution.

When done right, enterprise AI isn’t just about efficiency, it can truly reshape entire businesses. Marius Försch breaks down the challenges and offers a structured approach to getting AI initiatives across the finish line.

The world is more connected than ever. At Mindfuel, we are thriving because of our diverse, global team. Veronica Huitzil explains why intercultural communication is so vital to build a thriving, inclusive workplace.

Can your data team explain its value in 60 seconds? Can you deliver a clear, impactful answer that connects to business outcomes? Jonathan Orschiedt explores why this is a challenge and how to overcome it.

Don't fall into the data product death trap. In this blog, Max Könnings explores why focusing on fewer, better-quality data products helps you to reclaim your capacity, rebuild stakeholder trust, and create a culture where you’re prioritizing impact.

In a world where Team meetings and Slack messages are the new water cooler conversations, company culture can sometimes feel like an elusive concept. Veronica Huitzil shares the team's experience exploring Mindfuel's Values at the latest team offsite.

The role of a Chief Data Officer (CDO) is as challenging as it is rewarding, offering endless opportunities to impact organizations meaningfully. Eloy Sasot dives into his experiences and insights as a CDO.

With great power comes great responsibility, especially when it comes to navigating the complex web of regulations surrounding AI use.

The Datapreneur envisions a product's greater purpose, always mindful of user preferences, creating business-critical success accordingly whilst understanding and tackling the challenges of the data world in practice.