Despite the continued hype surrounding AI adoption, many overlook one of the biggest factors for AI success: data quality.

Imagine this: you’ve just received a dataset for an urgent project. At first glance, it’s a mess—duplicate entries, missing values, inconsistent formats, and columns that don’t make sense. You know ...

In this video, we explore the new Clean Data button in Excel, which utilizes AI to automate data cleaning. We examine its effectiveness in cleaning text values, numbers, removing spaces, and ...

Struggling with messy data in Excel can be a real headache, especially when you’re on a tight deadline. But what if there was a way to make this process smoother and more efficient? In this guide ...

Data cleaning is a critical step in the data processing cycle that can significantly impact the quality of data-driven initiatives. It’s not just about removing errors and inconsistencies; it is also ...

What is data cleaning in machine learning? Data cleaning in machine learning (ML) is an indispensable process that significantly influences the accuracy and reliability of predictive models. It ...

Challenges with data quality and data governance have plagued healthcare analytics efforts for decades – and the stakes are only getting higher in the age of AI. Inaccurate or inconsistent data ...

Brett Hansen is the CGO of Semarchy, a data software company that enables organizations to leverage their data to create business value. Companies in 2022 are implementing data-driven strategies to ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. Data is a critical ...