For IT teams, cutting tech debt and reducing toil is most likely at the top of their 2024 New Year’s resolutions. In the ever-evolving landscape of data management and artificial intelligence (AI), ...
In the early 2000s, manufacturers asked, “How can we collect more data?” The industry resoundingly responded. Today, manufacturers collect unprecedented amounts of data, causing many to remember the ...
I've always wondered why most companies undermine the value of their data. When you think about it, your company's data conceals the answer to what happened, your ability to accurately grasp what's ...
Enterprise AI needs one thing if it’s to get around the limitations of large language models and deliver the results businesses need from their agents. It doesn’t matter if you’re building ...
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Data continues to grow in importance for customer insights, projecting trends, and training artificial intelligence (AI) or machine learning (ML) algorithms. In a quest to fully encompass all data ...
Ingesting large volumes of disparate data can yield a rich source of information — but it's also a recipe for data chaos. Use these tips to improve data quality as your data lake grows. Image: ...
The move towards an entirely data-driven business ecosystem has been underway for a while, but it hasn’t always gone smoothly. Although 96% of companies said that they saw success from data and AI ...
What you need to know about Google Cloud Next data announcements: BigLake support for Apache Iceberg, Hudi and Delta Lake; BigQuery adds unstructured data, Apache Spark and DataStream support; Looker ...
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