Insights on
AI & Data Product Management

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.

Welcome to the era where bytes reign supreme and insights are king! Effectively managing data is the key to unlocking unprecedented value across industries.