We’re looking for compelling case studies, technical sessions, tear-downs of both successful and failed AI projects, technical and organizational best practices, and more. Got a lot to share? If a 40 minute talk isn’t enough, then consider proposing a 3-hour tutorial to dive even deeper.

Proposals will be considered in two categories: Technical and Non-technical. You’ll be asked to choose one of these categories when you submit your proposal.

Technical
Machine learning (supervised, unsupervised, reinforcement learning)
Computer vision
Knowledge representation and reasoning
Natural language processing and understanding
Planning and scheduling
Robotics
Speech technologies
Control methods
Multimodal applications
Architecture and platforms
Automation technologies
Training data, data networks, data quality, and data programming
Deep dive into specific tools, platforms, or frameworks
Hardware
Mobile computing, edge, and IoT technologies
Simulation platforms and digital twins
Security, privacy, and governance
Ethics and AI
Design and UX
Bots
AR/VR and other new interfaces
Non-technical
AI strategy
Culture and organization
Product management in the age of AI
Impact of AI and automation on business and society
Privacy, ethics, and compliance
Case Study: applications of AI to improve operational efficiency and decision making, risk/fraud prevention and prediction, and to generate new revenue
Executive Briefing: a vendor-neutral overview of the state, utility, and scope of real-world AI technologies and techniques
Required information