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 labsWill AI become an everyday tool like email is today?How AI could change different elements of an innovation processWhat excites and concerns Neil about the future of AIHow AI could impact jobs and educationKey links: Envista ForensicsConnect with Neil on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. Try it now at https://hatchworks.com/ai-opportunity-finder/