Description The 2018 Data Science Summit conference will focus on intelligent systems and how they apply to the real world Location Tel Aviv, Tel Aviv, Israel Event Type Conference Industry Artificial Intelligence (AI), Big Data, Data Mining, Machine Learning Regions Europe, Middle East, and Africa (EMEA), Middle East, Middle East and North Africa (MENA) Event Organizers Intel, O'Reilly Start Date May 28, 2018 End Date May 28, 2018 Venue Name Tel Aviv Convention Center, Pavilion 2 Event URL datasciencesummit.ai/ Registration URL Click here to register
We are happy to announce the 4th Data Science Summit, May 28, 2018 at Tel Aviv Convention Center. The summit was initiated 4 years ago by Assaf Araki, Avner Algom and Danny Bickson. Today the summit is co-organized by IGTCloud, Intel and O’Reilly Media, in collaboration with eBay and IBM. The Summit brings together over 1500 researchers, data
scientists and developers from academia and industry to discuss state-of-the-art artificial intelligence, data science, applied machine learning and predictive applications. It features over 50 talks of leading experts and researchers in these fields.
The 2018 conference will focus on intelligent systems and how they apply to the real world. The conference will feature a main venue and 4 parallel industry tracks for technical presentations, as well as a tutorial. Following last year’s great success, this year we will again have a separate research track, dedicated to recent research innovations. The conference serves as an excellent setting for participants to demonstrate the application of their work in rich real-world domains. Accordingly, we are inviting authors to submit proposals on a broad spectrum of research and application topics that include, but are not restricted to:
Future of AI- Autonomous driving, Dialogue Bots and Intelligent robots Innovation in AI methods - Deep Learning, Reinforcement learning, Natural Language Understanding, Automation of Machine-Learning Big Data Analytics – Systems for ML, Large scale analytics, Continuous delivery and DevOps in the analytics space Analytics use cases in the following domains: Healthcare, IoT, Education, Fintech, Cyber & Retail
