Aurelije is a skilled technology leader with over 30 years of expertise in driving innovative change efficiently using data, analytics, and data science. He is a passionate architect with deep hands-on experience in emerging technologies. Aurelije is the co-founder of Zenia Graph, a knowledge graph consulting firm focused on making semantic connected data work smart for their clients.

Founder of The Data Chefs, François is also an associate professor at the University of Montpellier, a co-founder of The Knowledge Graph Conference. He has published several articles on artificial intelligence, deep learning, ontology engineering, knowledge graphs and linked data which have received many citations. François combines deep technical expertise with extensive knowledge of data systems in large organizations.

Larry is a 20-year digital strategy and design veteran. He has designed content systems at companies like LinkedIn and Expedia and developed content strategies for startups, SMBs, and nonprofits. Larry hosts the Content Strategy Insights podcast and co-organizes events like the Knowledge Graph Conference, Decoupled Days, and World Information Architecture Day.

Pete has spent his career in data management, metadata management and now knowledge graphs. In addition to being CTO for Adaptive, he was for many years on the Architecture Board of OMG, which approved all their requirements and specifications, and helped start the Enterprise Knowledge Graph Foundation. He's helped create many standard ontologies, as well as organization-specific ones. His mantra is to be driven by the purpose and use cases to deliver business value, rather than theoretical purity. And to reuse through federation rather than a single upper-level ontology.

Philippe is a 25-year digital business builder with a proven track record in sales, marketing, and alliances in the US and Europe. His entrepreneurial journey explored various facets of the digital media, online marketing, SaaS, and AI industries. Philippe is a leader who combines proactiveness, flexibility, and an unwavering commitment to finding options when things seem to have no way forward.

Sailesh is an expert software developer with over 6 years of professional experience in full-stack web/app development, data engineering, data science and machine learning. He has experience working with international clients from US, Turkey, Saudi Arabia, Lebanon, Singapore and Nepal ranging from startups to enterprises and governmental agencies. He is a graduate of Princeton University.