In this episode of the AI Agent & Copilot Podcast, John Siefert is joined by Mark Hamblin, President, Insight Works, who shares practical use cases, insights on AI evolution, and strategies for navigating change management in an evolving tech landscape.
Key Takeaways
- AI use cases: At Insight Works, Hamblin explains that AI is leveraged in three main ways: to enhance internal business process development, to create higher-quality marketing content, and to enhance product offerings.
- Product specifics: Hamblin shares how AI is streamlining Shop Floor Insight, a product of Insight Works, by automating labor time validation, eliminating the need for supervisors to manually review time cards through exception-based logic and rules. Further, AI and agents are enhancing production scheduling by analyzing millions of decision points, identifying issues, and providing real-time insights or alerts, paving the way for innovative, user-driven automation through tools like the Agent Playground.
- Adoption: Hamblin notes the mixed reactions to AI adoption. While AI can rapidly deliver solutions, such as building a container management system in hours, it ultimately enables employees to focus on higher-value work, helping businesses scale without increasing headcount. However, AI-related change management can be complex, as capabilities evolve dramatically within months and future advancements are unpredictable. This uncertainty poses challenges for change management.
- AI advancement: Now, AI excels at processing large datasets and answering natural language queries, and its capabilities have advanced dramatically compared to a few years ago. Previously, it could build applications like a WMS mobile app in minutes, but today’s technology is far more powerful and sophisticated.
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