If there is anything that current events prove, it’s that analytics based on the quick delivery of up-to-date, trustworthy data is critical. But getting the right insight precisely when you need it demands more than a pretty visualization.
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In this 50-minute overview and product demo, Founder and CTO, Thomas Bolt, will show you how you get a strategic and automated concept for quality assurance in your data-driven development project.
You’ll learn why hundreds of data analytics projects fail with too less or inadequate testing and how to implement a strong testing concept easily by using BiG EVAL's test automation software for data-driven projects.
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In the aftermath of Roe v Wade, the FTC shared a blog post declaring its commitment to crack down on illegal data usage & data sharing by software organizations.
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Search capability is ingrained into our daily life. How many arguments these days are settled with the conclusion, “Just Google it”??! We all expect some type of search functionality in every application and website. Meanwhile, advances in computer vision, natural language processing, large language models, and generative AI have made it possible to extract semantic properties from unstructured data in the form of vector embeddings.
It can be daunting to query this kind of data, which combines K-Nearest Neighbors algorithms and lexical search, unless you have the right tool for the job. When you fail, performance suffers. Web users typically expect search results under one second.
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