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 ...
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 ...
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 ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. AI is messy. We can suggest that artificial intelligence 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, ...
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 ...
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 ...
Picture this: yet another Excel report lands in my inbox, and, once again, it's a nightmare of leading spaces, inconsistent spelling, and useless rows. Previously, I would spend hours fixing it ...
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 ...
Truveta chief technology officer Jay Nanduri (left) and CEO Terry Myerson. (Truveta Photos) Healthcare data holds great potential to improve medicine, but mining it is not easy. To get to the gold, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results