Change is often met with resistance, but Neil Goodrich, Chief Innovation Officer at Envista Forensics, challenges us to rethink our approach to innovation in this episode of Talking AI.

Together with host Matt Paige, Neil explores where new AI tools can help to lead innovation and how small incremental changes can drive larger transformative projects. We look at how AI can boost efficiency at different stages of an innovation process, from creating faster prototypes to democratizing access to data insights across teams.

Matt and Neil swap ideas on how AI could impact things like customer feedback, everyday work, job displacement, and education (for better or worse). A key takeaway point from this episode is the importance of adaptability – a skill that we will all need as tech like AI continues to evolve rapidly.

Key moments:

• How AI can be involved in innovation projects big or small
• Neil provides the backstory to the DePaul innovation labs
• Will AI become an everyday tool like email is today?
• How AI could change different elements of an innovation process
• What excites and concerns Neil about the future of AI
• How AI could impact jobs and education

Key links: 

• Envista Forensics
• Connect with Neil on LinkedIn

Mentioned in this episode:

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