Practical Uses for Conversational AI Avatars in Learning Programs

- A look at what’s possible with conversational avatars in L&D today, including capabilities and constraints
- A measurement plan for AI-integrated training, including which signals to track (practice frequency, completion, knowledge lift, confidence and performance outcomes) and how to define success
- A Performance Audit Guide to brief stakeholders, including how to define AI avatars, expected outcomes and the minimum data you need to evaluate performance
Speakers
![]() | Thomas Magnifico, VP of Strategic Partnerships, D-ID Thomas Magnifico is the global head of customer success at D-ID, leading the team managing strategic enterprise relationships with organizations like PepsiCo, Softbank and JP Morgan Chase. With over a decade in customer success leadership, Thomas previously held key positions at ModuleQ and CrossCap. He specializes in implementing AI solutions, creating strategic partnerships and developing data-driven customer success frameworks that drive measurable business outcomes. Thomas holds an Executive MBA and Master’s in Technology Management from Stevens Institute of Technology and a BS in Computer Science from New Jersey Institute of Technology. |
![]() | Danny Pichardo, Director of Customer Success – US, D-ID As director of customer success at simpleshow – now part of D-ID, Danny Pichardo ensures a positive customer experience for all clients. Danny has been with simpleshow since 2016 and has used his leadership skills and creativity to bring market-leading best practices to the simpleshow platform. Danny holds a degree in communications, specializing in motion pictures and sociology from The University of Miami. |

