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.
Call for Speakers
Current research in NLP
Conversational AI, chatbots, voicebots
National security and law enforcement
Knowledge graph generation and enrichment
Regional focus, e.g. Semitic languages, Asian languages, etc.
Start of abstract submissions: Oct 1, 2019
Deadline for submission of abstracts: Dec 20, 2019
Notification of acceptance: Jan 10, 2020
Conference: March 5, 2020 at Tel Aviv Expo
The Data Science Summit is packed with industry experts, authors, researchers and business leaders, delivering concrete examples of data science and machine learning in action. Hear best practices, war stories, vital dos and don’ts and precisely how innovators are deploying machine learning solutions in industry, and the business impact they deliver.
4 tracks with ~50 talks
Hear war stories from leaders at AI, NLP, data-science from enterprises and startups.
Discover amazing innovations and case studies by professors at the industry and academia.
Over 1,000 fellow data scientists, developers and business leaders for networking.
Up to one page (but no less than 10 rows)
Presenter name and role
Talk description - on top of the description try to emphasize the uniqueness of the proposal and what the audience will get from the talk
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