Join us in Paris February 21-22 for Knowledge Engineering 2017, the knowledge automation event, a unique forum for research practitioners eager to discover how Artificial intelligence changes our world, secure more meaningful insights, and achieve balance in applying emerging tech to solve challenging problems. Through moderated peer discussions you'll connect the dots from these macro trends to inform and influence your current work.
Researchers from academic institutions, corporate and government R&D organizations and elsewhere will showcase how they are deploying AI, quantum computing, design thinking, behavior-based analytics, DevOps & microservices, geo-location and other technologies and techniques to advance knowledge automation within their organizations.
Objective AI research will be unveiled to fuel discussion on critical issues like continuous data fabrique, data quality, mobile research, data fusion, and context brokering. You'll get expert, insider perspectives on deception cybersecurity, AI, wearables, software-defined digital camera, driverless cars and other seismic technologies. You'll experience presentations via virtual event technology - right from your seat, and learn about using augmented reality, data lakes, and function as a service (FaaS) techniques to quickly build agile and robust applications. You will learn how governments leverage technology to improve border security and measure mass media impact.
The conference aims to advance the Knowledge Engineering framework as a comprehensive approach to knowledge automation in research.
A special session will be devoted to knowledge engineering tools in different stages of development, from early-stage to mature, that will be broadly useful to the research community.
The conference program includes visit to Cite des Sciences et de l'Industrie, the largest science museum in Europe located in Parc de la Villette, at the heart of the Cultural Center of Science, Technology and Industry (CCSTI), a center promoting science and technology.
The conference targets the audience of government and corporate R&D decision makers, venture capitalists, strategic investors and private equity bankers.