Call for Speakers

Share your ideas!

The call for speakers is officially open for the 2020 DAIS. The Dearborn AI Symposium focuses on both the business and technical aspects of artificial intelligence, machine learning, and cognitive computing technologies. We’re looking for speakers on all aspects of these exciting technologies, regardless of industry. Whether you are an IT practitioner or a business stakeholder, we encourage you to consider sharing your knowledge at the conference.

The audience at DAIS is well-informed and tech-savvy. We are looking for dynamic speakers who can impress these professionals with insights and expertise on key technologies and strategies that work in the real world. We want speakers who can spark discussion and introduce new ideas.

Have you used AI or ML to improve customer interactions? To predict health outcomes? To see patterns that inform good business decisions? To foresee consumer preferences? Are there best practices that you can share? Do you have a new perspective on AI and ML issues? What business problems have these technologies solved for you?

We would like a mix of formal presentations and interactive panel participation. Case studies are particularly welcome. Feel free to suggest something different from a normal conference presentation—we like creativity! The deadline for submitting proposals [TBD].

Some topics to consider are:

  • Artificial intelligence use cases
  • Machine learning use cases
  • Tools and technologies
  • Extracting meaningful information from data sets
  • Predictive analytics
  • Data mining
  • Robotics in the workplace
  • Supply chain improvements via AI
  • Enhancing human expertise
  • Neural networks
  • Digital transformation
  • New developments with algorithms
  • Industry/Manufacturing 4.0
  • Cognitive modeling
  • Natural Language Processing
  • Teaching machines to recognize patterns
  • Semantic search
  • Business value of cognitive computing 
  • Planning for AI & Machine Learning
  • Cloud computing
  • Advanced analytics
  • Specific industry applications in medicine, finance, transportation, education, legal, etc.
  • Ethical use of cognitive computing
  • Blockchain
  • How you have used AI & Machine Learning at your workplace

Registration Form