AI in Manufacturing: Fusing Human Knowledge and IIoT Data w/ Christopher Nguyen

The Manufacturing Executive · 28 Mar 2023 · 25m · Episode 146

What this episode covers

Christopher Nguyen, CEO & Co-Founder of Aitomatic, explains why effective AI in manufacturing requires fusing IIoT data with the tacit knowledge of frontline workers. He argues that pure data-driven models fail in physical domains due to the 'data wall' and lack of failure examples, necessitating the capture of domain expertise. Nguyen discusses how his software helps industrial companies translate unstructured human knowledge into structured forms to improve defect detection and process optimization.

Most relevant to

early-stage companies

Topics

Mentioned

Companies
Aitomatic, Panasonic, Intel, Google, Furuno, Schneider, Siemens, Applied Materials, Hitachi
Products
ChatGPT

Other shows on the same ground, closest first.

  • Go/No-Go · 45m

    Live Recording: the Missing Data for Physical AI

    Eduardo Torrealba of Lumafield, Vikram Pavate of Tacta Systems, and Pari Singh of Flow Engineering discuss how physical AI is bottlenecked by the lack of specific, non-public data. They argue that while software AI thrives on open internet data, physical products require proprietary datasets from CT scans, tactile sensor gloves, and engineering context to train effective models. The panel highlights the 'missing middle' of manufacturing—products costing $5 to $500—as the key area where automation and AI can enable reshoring to the US. Each founder shares a 'punched in the mouth' moment: Lumafield's scanner durability issues in unconditioned factories, Tacta's glove being rejected for being too soft, and Flow Engineering's decision to burn eight years of code to rebuild for an agentic future.

  • Manufacturing Happy Hour · 23m

    BONUS: AI in Manufacturing: What’s Broken, What’s Working, and How Manufacturers Can Succeed with AI featuring PTC's Joseph June

    Joseph June, Head of AI Strategy at PTC, explains that manufacturers fail when they go too broad with AI, advocating instead for a 'production data foundation' focused on decision-making patterns rather than just volume. He argues that the key to success is not the number of agents, but the quality of the plan they execute, which must be derived from company-specific data. June also outlines a trust-building framework of 'advise, assist, and automate' to help leaders onboard AI gradually, mirroring the process of integrating a new employee.

  • Manufacturing Happy Hour · 53m

    232: AI Agents for Manufacturing 101 Featuring Composabl CEO & Co-Founder Kence Anderson

    Kence Anderson, CEO and co-founder of Composabl, explains that AI agents in manufacturing must combine perception with action to drive operational change, moving beyond traditional machine learning which focuses on defect detection. He illustrates this with the example of an extruder making Cheetos, where agents use simulations to practice and capture the tacit expertise of retiring operators regarding unmeasurable variables like corn moisture. Anderson advises manufacturers to identify high-value skills in danger of extinction and build a platform-based system to codify this knowledge before it is lost.

  • EMS@C-LEVEL · 5m

    Unlocking The Power of Data in Manufacturing with Critical Manufacturing's Michaela Wagner

    Michaela Wagner, Sales Manager for SMT at Critical Manufacturing (an MES sector of ASMPT), discusses the company's integration and data strategy five years after its acquisition. She explains how Critical Manufacturing uses an integrated IoT data platform to contextualize machine data for advanced analytics and machine learning, enabling real-time influence on the physical manufacturing world. Wagner highlights the importance of low-code solutions and containerized deployments to address the industry's talent crunch and scalability challenges across diverse customer sizes.

  • IoT For All Podcast · 30m

    Smart Manufacturing: Getting Started | Deloitte's Brian Zakrajsek | Internet of Things Podcast

    Brian Zakrajsek, Smart Manufacturing Leader at Deloitte, discusses how manufacturers can implement IoT technology, highlighting the convergence of IT and OT, the importance of data context, and the shift toward industry-specific solutions. He details Deloitte's Smart Factory in Wichita, Kansas, as a physical experience center and notes the company's move from pure advisory to implementation and managed operations. Zakrajsek emphasizes that successful adoption requires aligning technology with clear business value, managing change in high-turnover workforces, and leveraging AI to make sense of heterogeneous data.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by The Manufacturing Executive. The episode itself belongs to its publisher.