Call for speakers
23:59 — 16 April 2019 BST.
Submit a proposal
Do you have a great idea to share?
We’ve been amazed by not only how quickly AI technology has improved, but also the rate at which organizations are now adopting it. Many platforms exist for sharing the latest academic research results, but we noticed that a forum is missing for sharing industry best practices as AI spills from academic to corporate campuses. So we decided to create one.
The Artificial Intelligence Conference returns to the Hilton Metropole 14-17 October 2019. We’ll gather to explore the most essential and intriguing topics in intelligence engineering and applied AI. The program will cover the latest developments in tools, algorithms, and architectures, applications such as finance, media and advertising, and robotics, novel interfaces like bots, plus much more.
By encoding knowledge work that had previously been exclusive to humans into algorithms and software, AI technology promises to reconstruct enterprise workflows and impact business organizations at every level. We want to hear how it’s affecting you. Are you a developer, engineer, designer, or product manager leveraging AI to build your company’s next great product or service? Or are you an executive, entrepreneur, or innovator faced with making difficult strategic decisions to navigate the impact of AI on your organization? If so, come share your experience with us on stage to help build community and your own profile within it.
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. See below for a list of suggested topics, but feel free to recommend others because we always love to be surprised. See our tips on how to submit a great proposal. The deadline for submissions is 24:59 BST 16 April 2019.
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 (for practitioners such as developers, data scientists, machine learning engineers, AI engineers, and AI researchers)
- Technical case studies and project tear-downs (successes and failures)
- Technical best practices
- Architecting AI applications
- Hardware: sensors, (specialized) hardware for model training and inference
- Designing and building platform and infrastructure for AI
- Mobile computing, IoT, and applications that push intelligence to the edge of the network
- Data for training, data markets and data exchanges
- Software frameworks, developer tools, SaaS
- Enterprise adoption and migration
- Workflow and process automation technologies
- Simulation platforms and digital twins
- Deploying and monitoring AI products in production
- The role of decentralization technologies (including blockchains) in modern AI applications.
- Technical tools and techniques to address privacy, security, reliability & safety, ethics and responsible AI.
Interacting with AI
- Design and interfaces
- Product management
- Collecting and managing user interaction metrics
- Multimodal applications
- Human-in-the-loop applications
Models and Methods
Deep dive into specific methods (including new research results) or technical use cases.
- AI building blocks including natural language, vision, speech, emotion detection, knowledge bases, optimization, reasoning, planning, and control
- Deep learning and other machine learning methods
- Reinforcement learning and other continuous learning methods
- Reasoning and planning
- Knowledge graphs and databases
- Secure and adversarial machine learning, and machine deception
- Interpretability, explainability, auditability
- Optimizing training and serving at the edge and/or the cloud
Non-technical (for executives and strategic decision-makers with responsibilities in technology, marketing, finance, research and development, and general management)
Use cases including applying AI to improve operational efficiency and decision making, risk/fraud prevention and prediction, and generate new revenue:
- Overview and tour through specific use cases, including approaches taken, and the benefits—and drawbacks—of automation solutions.
- We are interested in case studies from a wide range of industries including (but not limited to) healthcare and medicine, biotech, media/marketing/advertising, retail and e-commerce, financial services, manufacturing, public sector, social good, and transportation and logistics.
- Talks need not be limited to outright success stories: attendees can also benefit from failures experienced during prototypes and pilots, to actual deployments.
Presentations that are based on data (from studies, surveys, or other data sources) are particularly welcome.
- An overview of the state, utility and scope of real-world AI technologies and techniques.
- Cultural change and organizational adoption needed to embrace AI and automation technologies.
- An overview of applications of AI and automation technologies in specific domains (healthcare and medicine, software engineering, finance, marketing, sales, HR, and business planning and management) or industry sectors.
Impact of AI on Business and Society
- Automation and the economy
- AI safety and reliability
- AI in government and defense
- Comparative analysis of national AI initiatives, policies, and strategies (globally and regionally)
Culture and Organization
- Project management: organizational best practices
- Organizing and managing teams and projects.
- AI Centers of Excellence and corporate learning programs
- AI-driven digital transformation.
Privacy, Ethics, and Compliance
- Privacy, confidentiality, and data protection regulations including GDPR and the California Consumer Privacy Act.
- Responsible AI: Frameworks that cover many aspects including fairness, accountability, and transparency in AI and machine learning; human-centered design; testing that AI systems are working as intended and can be trusted; continuous monitoring of AI in production.
- Best practices for managing risks in AI and machine learning
You’ll be asked to include the following information for your proposal:
- Proposed title
- Description of the presentation
- Suggested main topic
- Audience information:
- Who is the presentation is for?
- What will they be able to take away?
- What prerequisite knowledge do they need?
- For tutorial proposals: hardware installation, materials, and/or downloads attendees will need in advance
- Speaker(s): biography and hi-res headshot (minimum 1400 pixels wide; required). Check out our guidelines for capturing a great portrait.
- A video of the speaker
- Reimbursement needs for travel or other conference-related expenses (if you are self-employed, for example) Note: If your proposal is accepted and you are traveling internationally, we can provide a formal invitation letter upon request.
- Type of presentation: 40-minute session or 3-hour tutorial
Tips for submitting a successful proposal
Help us understand why your presentation is the right one for the AI Conference. Please keep in mind that this event is by and for professionals. All speakers must adhere to our Code of Conduct. Please be sure that your presentation, including all supporting materials and informal commentary, is welcoming and respectful to all participants, regardless of race, gender, gender identity and expression, age, sexual orientation, disability, physical appearance, national origin, ethnicity, or religion.
- Pick the right topic for your talk to be sure it gets in front of the right program committee members.
- Be authentic. Your peers need original ideas in real-world scenarios, relevant examples, and knowledge transfer.
- Give your proposal a simple and straightforward title.
- Include as much detail about the presentation as possible.
- If you are proposing a panel, tell us who else would be on it.
- Keep proposals free of marketing and sales.
- If you are not the speaker, provide the contact information of the person you’re suggesting. We tend to ignore proposals submitted by PR agencies and require that we can reach the suggested participant directly. Improve the proposal’s chances of being accepted by working closely with the presenter(s) to write a jargon-free proposal that contains clear value for attendees.
- Keep the audience in mind: they’re professional, and already pretty smart.
- Limit the scope: in 40 minutes, you won’t be able to cover Everything about Framework X. Instead, pick a useful aspect, or a particular technique, or walk through a simple program.
- Explain why people will want to attend and what they’ll take away from it
- Don’t assume that your company’s name buys you credibility. If you’re talking about something important that you have specific knowledge of because of what your company does, spell that out in the description.
- Does your presentation have the participation of a woman, person of color, or member of another group often underrepresented at tech conferences? Diversity is one of the factors we seriously consider when reviewing proposals as we seek to broaden our speaker roster.
Other resources to help write your proposals
- Call for Proposals closes on 16 April 2019
- All proposers notified by May 2019
- Registration opens in June 2019
Code of Conduct
All participants, including speakers, must follow our Code of Conduct, the core of which is this: an O’Reilly conference should be a safe and productive environment for everyone. Please be sure that your presentation, including all supporting materials and informal commentary, is welcoming and respectful to all participants, regardless of race, gender, gender identity and expression, age, sexual orientation, disability, physical appearance, national origin, ethnicity, or religion. Read more »
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