Hardware Podcasts

Practical AI Applications for Optimizing Your Manufacturing Operations w/ Berk Birand

The Manufacturing Executive · 26 Nov 2024 · 36m · Episode 233

What this episode covers

Berk Birand, co-founder and CEO of Fero Labs, explains why standard 'black box' AI models are unsuitable for manufacturing due to high stakes and lack of explainability, advocating instead for explainable machine learning. He details three practical applications: diagnostics to find root causes of issues like steel breakouts, forecasting to predict quality outcomes before lab results arrive, and optimization to adjust production parameters in real-time. Birand also addresses common hesitations regarding data quality and labor shortages, arguing that AI can augment junior engineers and improve sustainability by reducing waste.

Most relevant to

companies scaling up

Topics

Mentioned

Companies
Fero Labs, Gorilla 76
Products
ChatGPT
Also
Six Sigma

Related episodes from other shows

Other shows on the same ground, closest first.

  • Manufacturing Happy Hour · 45m

    Leveraging Data to Reimagine the Product Design Process with Instrumental CEO Anna-Katrina Shedletsky

    Anna-Katrina Shedletsky, CEO and co-founder of Instrumental, explains how her platform uses AI and aggregated product data to optimize manufacturing and reduce waste. Drawing from her experience leading product design teams at Apple, including the high-risk Apple Watch program, she details how Instrumental helps companies close feedback loops in development and production. She highlights specific use cases, such as using unsupervised learning to correlate visual inspection data with functional test failures, to improve yield and accelerate time-to-market. Additionally, Shedletsky discusses her Women in STEM Mentorship Program and Instrumental's recent recognition on the Inc. 5000 list.

    Manufacturing partners & offshoringAI & machine learning
    8 chapters

  • Additive Snack · 43m

    Breaking - Euler Launch: AI & the Future of AM Monitoring

    Eythor Eiriksson, founder and CEO of euler, explains how his company uses AI to analyze existing powder bed fusion camera data for real-time monitoring and quality assurance in additive manufacturing. He details the platform's ability to predict defects like spatter and warping before they cause crashes, allowing operators to intervene early. Eiriksson discusses the challenges of data access for training models, the company's hybrid cloud/on-prem deployment strategy, and the future potential of reducing reliance on post-print CT scans.

    AI & machine learningSensors & measurement in products
    6 chapters

  • EMS@C-LEVEL · 7m

    Electronica 24: Peter Gutschi on How AI is Shaping the Future of Manufacturing

    Peter Gutschi, a consultant supporting companies like ESCATEC and startups, explains how AI is moving beyond hype to drive real efficiency in manufacturing, from shop floor quality management to supply chain planning. He highlights specific technologies such as Luminovo's platform for calculating CO2 footprints and Cybord's component inspection tools, which handle data volumes impossible for humans to manage in real time. Gutschi argues that this enhanced visibility allows EMS providers to accurately commit to delivery dates and prevent the inventory overhangs seen in past crises like the 2000 tech wreck.

    AI & machine learningSourcing & supply chain
    6 chapters

  • IoT For All Podcast · 37m

    Utilizing AI for Predictive Maintenance in Manufacturing | Augury’s Saar Yoskovitz

    Saar Yoskovitz, Co-Founder and CEO of Augury, explains how his company provides a full-stack AI-based machine health solution to large manufacturers like Colgate and Hershey's. He details the decision to build proprietary sensors and diagnostics in-house to ensure rapid time-to-value and avoid the integration pitfalls that cause 82% of digital transformations to fail. Yoskovitz discusses Augury's recent $55 million Series D funding, the convergence of IT and OT in enterprise decision-making, and a new partnership with Munich Re to offer guaranteed diagnostics backed by insurance.

    Connected products & IoTAI & machine learning
    8 chapters

  • Over the Air · 29m

    Innovating Sustainable, Reliable, and Productive Technologies with David Vasko

    David Vasko, Senior Director of Advanced Technology at Rockwell Automation, discusses how the 120-year-old industrial automation giant de-risks new technologies for enterprise customers who demand 20-year product lifecycles. He details the use of digital twins and AI to optimize manufacturing, citing a specific case where a digital twin-based control system eliminated steel waste in an Australian rolling mill by overcoming operator skepticism. Vasko also explains Rockwell's application of machine learning for predictive maintenance in coffee drying facilities and the strategic importance of sustainability and supply chain resilience.

    AI & machine learningConnected products & IoT
    8 chapters

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.