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Content Lakes: A Language-Centric Content Storage & Processing Solution
White Paper
From scientific research papers and legal documents to mortgage information and insurance claims, eighty percent of all enterprise data is considered unstructured. This surge in digital documents and communications, otherwise known as Big Content, has completely shifted the paradigm of data collection and categorization because this information is the key to unlocking highly personalized experiences and extremely precise results to meet customer demands.
That’s where Content Lakes can come into play. A Content Lake is a specialized form of a Data Lake that stores language-based content and offers broad use access to original content as well as analytics, tabular data derivation and statistical processing.
Download this white paper to learn more about how implementing a Content Lake can improve your business.
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With machine learning, RPA and AI, media and entertainment companies can organize metadata more quickly and with less human intervention.
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BlogSibos 2018: A Recap of What’s Next for Financial Services
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BrochureIntelligent Digital Blueprint for Retail
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Event
Sitecore Symposium 2022
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In the NewsTips for Building AI into Mobile Apps
Pavel Veller, CTO of EPAM’s Digital Engagement Practice, discusses how to assess the effectiveness of AI in mobile app development with SD Times.
