Eddan Katz is a life-long tech policy activist working at the intersections of open collaboration, responsible innovation, and access to knowledge. Most recently, he built out the Centre for the Fourth Industrial Revolution emerging technology policy network of regional branches globally as the Platform Curator for the Artificial Intelligence and Machine Learning Platform at the World Economic Forum.

Previously, Eddan established cross-border digital rights advocacy coalitions as the international Affairs Director for the Electronic Frontier Foundation, and locally as Co-Founder of the Sudo Room community hackerspace in downtown Oakland. He taught Access to Knowledge, Cyberlaw, and Tech Ethics at Yale Law School and served as the first Executive Director of the Yale Information Society Project.

Keith Sonderling was confirmed by the U.S. Senate in September, 2020, to be a Commissioner on the U.S. Equal Employment Opportunity Commission.  He is responsible for enforcing federal laws that prohibit employment discrimination because of race, color, religion, sex, national origin, age, disability or genetic information.  He previously served as Acting and Deputy Administrator of the Wage and Hour Division at the U.S. Department of Labor. Prior to that, he was a partner at the Gunster Law Firm in Florida.

The Bosch Center for Artificial Intelligence (BCAI) was created in 2017 out of existing competence centers to develop innovative AI technologies for Bosch.

The Bosch Group’s strategic objective is to create solutions for a connected life, improving quality of life worldwide with products and services that are innovative and spark enthusiasm. Bosch has been conducting AI research for many years. Over the next decade, Bosch aims to incorporate AI into many of its products and services, thus making AI one of its core competencies. AI will help Bosch to round off its IoT expertise. From autonomous cars to smart homes, AI will transform products and services and create new value propositions for Bosch customers.

Founded in 2020, Datomize enables data scientists to develop and train high performing machine learning models to extract superior insights. Equipping data scientists with limitless synthetic data of exceptional quality, variety, and balance, Datomize enables the development of state-of-the-art AI solutions that drive innovation, protect society, and save lives.

Utilizing deep learning models for synthesizing advanced data types while maintaining cross-table relationships, the platforms continuous re-training, automatic quality/privacy trade-off evaluation, and support for data enhancement and simulation, delivers unprecedented data quality, flexibility, and privacy-assurance guarantees.

WSC Sports provides an innovative workflow automation solution for sports media-right owners, from ingestion of live content to distribution of automatically created short-form videos – Tailor-Made, customized, and personalized for every need. WSC’s unique sets of sports video technologies based on AI and Machine-Learning analyzes sports broadcasts in real-time, identifies every component in a game, and generates customized highlights of every player, team, and moment to answer any imaginable demand.

WSC’s platform is being used by leading sports media brands to better leverage sports content, increase fan engagement, strengthen fan loyalty, and create top-notch marketing and promotional opportunities.

In this presentation, we will show our method to solve this problem, how we leverage our massive raw data to train a weakly supervised model and how we evaluated this multiple solutions’ task.

Yakir Buskilla is CEO and co-founder of Cocohub, a publicly-traded company on the Israeli stock exchange best known for its no-code chatbot development suite. Recently, the company is increasingly associated with virtual human technology, and Anna, one of the characters it developed as a chatbot avatar for deployment on Zoom and through other video channels.

Buskilla took over as CEO after several years at Nielsen where he oversaw the company’s R&D operation in Israel. Earlier, he co-founded Semanix which was focused on improving patent search technology. He has a background in Machine Learning, Big Data, cloud hosting, and back-end software development and began his career as a software engineer.

Speaker

Or is an experienced data scientist with a demonstrated history of working in the computer software industry. Currently the Research Team Lead at Prospera Technologies, he leads the development of machine learning and computer vision-based AgTech solutions to optimize agricultural growing processes. Or holds an M.Sc. from the computer vision group at the Weizmann Institute of Science.

Company

Prospera, a Valmont company is an agriculture technology company that develops intelligent solutions for farmers to grow crops more efficiently. The company develops both hardware and software solutions that collect and analyze multi-sensor data with state-of-the-art machine learning algorithms.

Developing technologies and IP for cameras and sensors in Mobile and Automotive.
Scouting technologies, IP and companies for cameras, sensors, ML acceleration, processing in Mobile and Automotive.

Corephotonics is the pioneer and worldwide market leader of dual-camera technologies for mobile devices. Corephotonics’ primary mission is to perfect the mobile camera photography experience and to provide superior image quality by combining our novel optics, mechanics, and computational photography technologies.