AI Data Quality DataOps 
Alation
SEPTEMBER 28, 2022
What exactly is DataOps ? The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. In essence, DataOps is a practice that helps organizations manage and govern data more effectively.
IBM Journey to AI blog
OCTOBER 22, 2024
Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.
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Alation
FEBRUARY 3, 2022
The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps?
Alation
JUNE 21, 2022
Over time, we called the “thing” a data catalog , blending the Google-style, AI/ML-based relevancy with more Yahoo-style manual curation and wikis. Thus was born the data catalog. In our early days, “people” largely meant data analysts and business analysts. ML and DataOps teams). data pipelines) to support.
Precisely
AUGUST 3, 2023
They reported facing challenges to the success of their data programs — including cost (50%), lack of effective data management tools (45%), poor data literacy/program adoption (41%), and skills shortages (36%) as well as poor data quality (36%).
Dataconomy
MAY 26, 2023
With all the recent buzz around ChatGPT, industries are looking for ways to leverage generative AI to gain a competitive edge. After all, generative AI is expected to raise the global GDP by 7% or $7 trillion within a 10-year period. Without a clear strategy and solid business case, these investments may only yield small gains.
Precisely
FEBRUARY 10, 2023
Advanced analytics and AI/ML continue to be hot data trends in 2023. According to a recent IDC study, “executives openly articulate the need for their organizations to be more data-driven, to be ‘data companies,’ and to increase their enterprise intelligence.”
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