2021 Data Quality Deep Learning Modeling 
O'Reilly on Data
APRIL 19, 2021
Relatively few respondents are using version control for data and models. Tools for versioning data and models are still immature, but they’re critical for making AI results reproducible and reliable. It’s gratifying to note that organizations starting to realize the importance of data quality (18%).
O'Reilly on Data
MARCH 18, 2020
Supervised learning is the most popular ML technique among mature AI adopters, while deep learning is the most popular technique among organizations that are still evaluating AI. By contrast, AI adopters are about one-third more likely to cite problems with missing or inconsistent data.
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CIO Business Intelligence
JUNE 21, 2022
generating $42 billion in 2021 and projected to reach $71.7 federal government, HPC is being used to accelerate basic science, develop therapeutics and other treatments for COVID-19, perform military applications such as simulations, handle climate and weather modeling, and a myriad of other tasks in diverse agencies. . Within the U.S.
DataKitchen
APRIL 13, 2021
Download the 2021 DataOps Vendor Landscape here. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers.
Cloudera
NOVEMBER 15, 2021
And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 Mobile and WiFi data transmissions have increased their share of total transmissions over the last five years, at the expense of wired transmissions. . The challenges of data. Data annotation.
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