This is the billion dollar blind spot: Most enterprises are solving the wrong data problem. Enterprises often assume that ...

It’s not the tech that tanks AI projects — it’s the people and planning. The smartest companies are finally getting both ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data is essential for the success of any artificial intelligence (AI) project, but ...

Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) ...

Since its birthday over 250 years ago, the U.S. Army Corps of Engineers has prided itself on delivering quality projects on time and on budget. For much of that history, time and budget were the ...

Moving to the cloud may seem, on its surface, a good way to better manage the quality and viability of data resources for enterprises. However, as data accelerates its move to the cloud, the ...

It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

In this spooky season of vampires, witches and scary clowns, we’d like to add one more to the mix – data quality nightmares – which can be more frightful than a marathon of Freddy Kreuger movies to ...

In today’s day and age, we are inundated with large amounts of data, coming in from new sources, containing a greater variety and more complex data sets. But what we need isn’t more data, but better ...