How to Use data.world to Solve for Common Data Engineering Use Cases

How to Use data.world to Solve for Common Data Engineering Use Cases
When evaluating a data catalog, every data engineer wants to know one thing:

“What’s in it for me?”

In this live demo, Mo Dodge answers that question and highlights several high-value use cases data.world solves for:
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Redis Ingenuity Webinar Beyond Caching: AI-Powered Search with Redis

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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infogix

Analytics-Enabled Data Quality and Data GovernanceJoin us for a FREE 1 hour webinar where we will review how statistical controls, machine learning and other analytical approaches can validate data and enforce governance in smarter ways, thus allowing for a more proactive approach to trusting and understanding data across the enterprise. We will also provide a demonstration of how this can be achieved quickly to achieve quick wins.
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To reduce the impact of an unfolding crisis, companies need a clear, accurate and early line of sight into emerging risks. Leaders can then act with confidence and seize opportunities to preserve brand reputation while driving operational excellence. To demonstrate how real-time information can help companies gain advanced warn
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