Why the businesses that make data reliable, accessible and commercially useful deserve a place in the AI investment conversation By Luke Liplijn, Founder and CEO of Liplyn Group When... Read more »
Why we do not invest in AI promises, but in the layer beneath them, and why our bondholders benefit. Everyone wants to do something with AI. Almost no one... Read more »
Enterprise AI has a production problem. Companies can build impressive pilots, yet many systems fall apart when they meet live data, existing workflows, security rules, and real operating costs.... Read more »
Gleb Mezhanskiy spent years building tools to make enterprise data clean. In March 2026, the Datafold CEO told his audience the effort never paid off the way software monitoring... Read more »
I’ll admit it, I used to think data quality was just another IT checkbox. You know, one of those things people talk about in meetings but nobody really prioritizes... Read more »
Financial institutions, owing to their extensive data-centricity, are increasingly adopting gen AI for better customer experience, regulatory compliance, and decision-making. In fact, by 2038, organizations adopting this technology responsibly... Read more »
Many organizations recognize the value of artificial intelligence but struggle to capture it. The challenge is not a lack of ambition, but a lack of essential groundwork. Success requires... Read more »
Supply chains in today’s dynamic environment involve multiple stakeholders and span continents. Not only are they complex, but they’re also under pressure to run faster and at lower costs... Read more »
Generative AI is no longer a novelty. It has become a core driver of innovation across industries, reshaping how organizations create content, deliver customer service, and generate insights. Yet... Read more »
As AI has gained prominence, all the data quality issues we’ve faced historically are still relevant. However, there are additional complexities faced when dealing with the nontraditional data that... Read more »
