AI for Human Language 2020

March 5th, 2020

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 March 5th, 2020  

AI for Human Language 2020

Event submitted on Monday, October 12th 2020, approved by Content Team

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March 5th, 2020
Israel » 
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* Due to COVID, it is most likely that this event will be online - but please make sure! The situation is constantly changing...

 Our Review

This would be an excellent conference for those with working with Artificial Intelligence technology and also living and working in Tel Aviv

- Review written by Henry Dalziel on Monday, October 12th 2020.
- If you would like to edit or ammend facts in my review please either send us a message or connect with me via LinkedIn.

Conference Event Summary

The following description was either submitted by the Conference Organizer on Monday, October 12th 2020, or created by us.

Understanding human language—the most challenging form of big data—is today an essential business function. AI capable of deriving meaning from written and spoken words enables us to better understand customers, verify identities, anticipate world events, and solve crimes.

Over 1,000 researchers, developers, data scientists, entrepreneurs, and business leaders will discuss recent advancements in artificial intelligence, computational linguistics, deep learning, data science, and applied machine learning. In over 50 talks, leading experts and researchers will give examples of how AI for human language understanding is being applied to solve real-world problems.

This conference is an excellent setting for participants to demonstrate the application of their work in practical domains. Plenary keynotes will be followed by multiple tracks for case studies, technical presentations, and tutorials.

Among the main summit, topics are

AI Case studies and innovations
NLP, Conversational AI, chatbots, voice bots
Human behavior analysis and modeling from unstructured data
Speech recognition
Deep learning, Machine learning, Transfer learning
Automotive, CRM, Health care, Financial services
Fraud Detection, Privacy, and Security, Risk Analysis
Cybersecurity, National security, and law enforcement
Semantic Search
Knowledge graph generation and enrichment
Regional focus, e.g. Semitic languages, Asian languages, etc.

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