Empromptu's "golden pipeline" approach tackles the last-mile data problem in agentic AI by integrating normalization directly into the application workflow — replacing weeks of manual data prep with ...

For decades, the rule in data science was simple: clean your data or don’t bother. But that rule is starting to break. Thanks to recent advances in AI and language models, even the messiest, most ...

In a previous article, The modern stack has a messy data problem, I borrowed a phrase from George Fraser, CEO & Co-Founder, Fivetran – "messy data." "People need to realize that the sources produce ...

Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results before loading.

Are you working with messy qualitative data in your research? Are you considering doing so and want to learn more? The Lerner College's Department of Business Administration, Management Area invites ...

Most of the data inside big companies is a mess — scattered emails, reports, social media chatter, and notes that nobody’s touched in years. ReadyAI says that’s a goldmine just waiting to be unlocked ...

Until CIOs are ready to confront data that is siloed, redundant, or can’t be traced through the business process, generative AI will not pay off. In March 2024, I wrote that without good data, your ...

Usually, these panels are dull, especially when the panelists are all founders or executives of software companies. This was different. The panelists were so engaging and convincing that I felt like ...

As the big data revolution continues to rock the healthcare space, there are still questions about how to get a handle on that massive amount of data and make it valuable. It’s a question that is ...

Government agencies at every level — local, state, and federal — are one of the biggest producers of data, if not the biggest. Whether you're a data analyst, department director, or agency leader, ...