Catalyst, Launch by NTT DATA’s podcast hosted by Tammy Soares, puts humans at the heart of transformation. Each week, visionary leaders and changemakers share how creativity, technology and human insight are reshaping business, culture and the future of work. From platform innovation to AI and design leadership, Catalyst isn’t just about what’s next in tech — it’s about shaping business, technology, and culture through a human lens and spotlighting the visionaries paving the way forward. Lea ...
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AI Agent & Copilot Podcast: Insight Works' Mark Hamblin on How AI Transforms Process, Products
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Manage episode 525583302 series 2536260
Content provided by Bob Evans. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bob Evans or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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.
Visit Cloud Wars for more.
602 episodes
MP3•Episode home
Manage episode 525583302 series 2536260
Content provided by Bob Evans. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bob Evans or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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.
Visit Cloud Wars for more.
602 episodes
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