Data and AI Stories

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.

AI is everywhere but there's a staggering number of data & AI investments that fail to deliver tangible value for their organizations. Spoiler alert: it's not the technology.

“Why aren’t we seeing the ROI we expected?” This is a question we hear a lot from our customers. Read this blog by Francie Kastl to discover how common AI challenges can be solved with Delight.

This blog covers the responsibilities of Data Product Managers, the importance of a product mindset, and practical steps to empower these key players in the data-driven world.

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.

Our customers often struggle with questions like, "Where do we start?" or "How can we make sure to create real value with Data and AI?" These questions highlight the need for a structured approach to turning data into actionable insights. Robert Keil shares his insights in this blog.

Technology alone does not unlock the true potential of data. It’s the combination of technology, processes, and behaviors that transforms data into a powerful tool for business innovation and growth. Fabian Wilckens, CRO at Mindfuel, explores the vital role of AI & Data Product Management.

As technology advances and data becomes a bigger deal, understanding the shift from traditional product management to AI & data product management is more important than ever. William Alvarez breaks break it down in a simple, no-nonsense way.

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.

In the dynamic role of a Chief Data Officer (CDO), you are pivotal in transforming data into business gold. Navigating through the unpredictability of markets and overcoming internal barriers requires a blend of strategic clarity and steadfast leadership.

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.

How can data science be translated into tangible business value? Applying product thinking to data makes sense. Here are 6 main reasons why.

In a world where data is more abundant than coffee at a tech conference, making sense of it all can feel like navigating a maze in the dark. Even with the vast potential of A & data, creating measurable business value remains an art of its own. Organizations invest in it more and more, with 2023 alone seeing an estimated $154 billion poured into AI.