Remove 2016 Remove Data Ingestion Remove ETL
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Basil Faruqui, BMC: Why DataOps needs orchestration to make it work

AI News

Analysts and thought leaders almost universally urge the importance of the CEO being actively involved in data initiatives. But what gets buried in the small print is the acknowledgement that many data projects never make it to production. In 2016, Gartner assessed it at only 15%.

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Improving air quality with generative AI

AWS Machine Learning Blog

This manual synchronization process, hindered by disparate data formats, is resource-intensive, limiting the potential for widespread data orchestration. The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion.