Remove whats-a-semantic-layer-worth
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Pioneering AI frontier: unleashing natural language interfaces

Analysts Corner

It’s not about predicting the future but about projecting it based on what we can see today. Some applications are already available by training generic language models with an additional layer of proprietary knowledge about a specific domain, specialty, or business. Join me in a little bit of dreaming about the future.

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Sisense Q1 2020 Release: Enhance Business Outcomes with AI

Sisense

By beginning to type a word such as “What” or “How”, the system will begin to ask questions and recommend personalized suggestions that auto-complete fields and values, filters and break by, and analyses over time. Here at Sisense, our AI team is using a distilled version of BERT to enhance our NLQ offering with better semantic understanding.