Episode OverviewIn this episode of The Manufacturers Network Podcast, host Lisa Ryan sits down with Derek Krieger, an innovative leader in manufacturing technology and AI, to discuss how artificial intelligence transforms on-the-job training, knowledge sharing, and employee engagement in the manufacturing sector. Derek shares his personal journey, the inspiration behind Practical AI and PocketMentor, and the practical steps manufacturers can take to leverage AI while protecting their intellectual property and empowering frontline workers. Key Themes & Lessons Learned1. Bridging the Skills Gap in Manufacturing For over 30 years, the manufacturing industry has struggled with a shortage of skilled tradespeople. Derek, who rose from hands-on industrial work to engineering and educational development, highlights the perennial challenge: "We're always short on the shop floor of skilled trades." The knowledge gap—especially during off-hours—results in costly downtime when the right expertise isn’t immediately available. 2. Practical AI Implementation with PocketMentor PocketMentor is a breakthrough AI-powered, voice-accessible tool that delivers real-time support, training, and troubleshooting on the shop floor—without requiring extra headcount or specialized hardware. Through a simple QR code scan, technicians can access conversational, hands-free guidance, eliminating the need to leaf through bulky manuals or carry tablets and laptops while working. 3. Meeting the Needs of a Changing Workforce Younger workers, or "digital natives," are less likely to engage with traditional modes of knowledge transfer (like thick manuals or intimidating expert technicians). They embrace tech-enabled self-learning. PocketMentor offers this new generation an approachable, judgment-free way to ask questions and learn, helping to overcome generational communication barriers within teams. 4. Change Management: Easing the Adoption of New Technologies Derek underscores the importance of effective change management and communication. Introducing AI solutions isn't just a technical switch: it requires setting clear expectations, top-to-bottom communication, and a bottom-up feedback loop. "It's about running a PR campaign," he notes, to foster buy-in and minimize resistance, especially among experienced workers wary of automation. 5. Protecting Intellectual Property with AI Many manufacturers are concerned about data security and safeguarding trade secrets when using AI solutions. Practical AI addresses these concerns by implementing strict guardrails, syncing closely with IT departments, and keeping company-specific knowledge securely in-house. 6. Culture & Employee Wellbeing Beyond technical support, Practical AI integrates features like Connections HR that provide anonymized, real-time feedback on employee morale and mental health, giving HR a clearer picture of workplace culture and enabling proactive adjustments. 7. Moving Forward: The Future of Real-Time Support in Manufacturing Derek predicts that real-time, voice-enabled AI support will become the norm for manufacturers aiming to increase OEE (Overall Equipment Effectiveness), minimize downtime, and scale expertise efficiently without exhausting limited skilled trades. Fun FactsLocal Flavor: Derek and Lisa have ties to Cleveland and Indianapolis, and share some friendly NBA banter involving the Pacers and the Cavs!Late-Diagnosed Neurodiversity: Derek discovered he is on the autism spectrum and has ADHD at age 50, a personal insight that fuels his inclusive, tech-driven approach to solving workplace challenges.Kitten Cameo: Lisa mentions her kittens when discussing "hallucinations"...
