3 Unexpected Ai Use Cases And Their Hidden Benefits


AI Industry Experts Discuss Insights You Can Apply To Your Projects

AI offers an incredible opportunity to delight customers and deliver extraordinary value for businesses. But, successfully implementing AI can be challenging. Applause gathers product and UX testing results at global scale; our work often reveals recurring mistakes in AI projects to avoid. These insights consistently show novel use cases for AI projects.

Join founder Bret Kinsella and Applause’s Emerson Sklar as they take a deep dive into three real-world AI projects. They cover lessons learned through global testing efforts and new models for conversational AI and other AI projects. They discuss where to concentrate your efforts and how to avoid common technology design issues.


  • How to uncover common problems in your AI project
  • How to find the use case that makes the most impact
  • How changing variables can undermine a once stable solution


Emerson Sklar

Emerson Sklar

Senior Director of AI/MLApplause

Emerson is a Tech Evangelist and Solution Architect for Applause. Since joining Applause in 2015, he has helped countless companies improve quality across every phase of the SDLC through a human-centric, community-driven approach to testing. Before Applause, Emerson worked for Borland, the Army Intelligence and Securities Command and the Army Research Lab. Outside of work, he enjoys cooking overly elaborate meals through science, adventure cycling and volunteering with the Boy Scouts of America.

Bret Kinsella

Bret Kinsella

Founder and

Bret is founder, CEO, and research director of He was named commentator of the year by the Alexa Conference in 2019 and is widely cited in media and academic research as an authority on voice assistants and AI. He is also the host of the Voicebot Podcast and editor of the Voice Insider newsletter.


Applause is the worldwide leader in crowdsourced digital quality testing. With testers available on-demand around the globe, Applause provides brands with a full suite of testing and feedback capabilities. This approach drastically improves testing coverage, eliminates the limitations of offshoring and traditional QA labs, and speeds up time-to-market.