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Customers enjoy a holistic view of data quality metrics, descriptions, and dashboards, which surface where they need it most: at the point of consumption and analysis. Trust flags signal the trustworthiness of data, and dataprofiling helps users determine usability. Check out this demo to see for yourself.
In addition, Alation provides a quick preview and sample of the data to help data scientists and analysts with greater data quality insights. Alation’s deep dataprofiling helps data scientists and analysts get important dataprofiling insights. Subscribe to Alation's Blog.
” – James Tu, Research Scientist at Waabi Play with this project live For more: Dive into documentation Get in touch if you’d like to go through a custom demo with your team Comet ML Comet ML is a cloud-based experiment tracking and optimization platform. Share features across the organization.
Prime examples of this in the data catalog include: Trust Flags — Allow the data community to endorse, warn, and deprecate data to signal whether data can or can’t be used. DataProfiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.
Data scientists can train large language models (LLMs) and generative AI like GPT-3.5 to generate natural language reports from tabular data that help human agents easily interpret complex dataprofiles on potential borrowers. See what Snorkel can do to accelerate your data science and machine learning teams.
Data scientists can train large language models (LLMs) and generative AI like GPT-3.5 to generate natural language reports from tabular data that help human agents easily interpret complex dataprofiles on potential borrowers. Learn more See what Snorkel can do to accelerate your data science and machine learning teams.
If you’re interested in learning more about our Toolkit or getting a demo around the functionality and how it could help your organization, give us a shout ! phData Toolkit If you haven’t already explored the phData Toolkit, we highly recommend checking it out!
A data catalog communicates the organization’s data quality policies so people at all levels understand what is required for any data element to be mastered. Using the catalog to review dataprofiles can help discover other potential quality concerns. Get the latest data cataloging news and trends in your inbox.
Data scientists can train large language models (LLMs) and generative AI like GPT-3.5 to generate natural language reports from tabular data that help human agents easily interpret complex dataprofiles on potential borrowers. Book a demo today. Improve the accuracy of credit scoring predictions.
Data intelligence has emerged as the solution to the garbage-in, garbage out problem that’s long stymied AI and BI efforts. Data intelligence is an amalgamation of categories, which include: Metadata management. Data quality. Data governance. Master data management. Dataprofiling. Data curation.
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