Augmented Ops - Episodes Tagged with “Computer Science”

Episode 140: A Frontline Perspective on Industry 4.0 – Reflections on Season 1 of Augmented Ops

Tulip — Wed, 26 Jun 2024 07:00:00 -0400

This week marks the final episode of Season 1 of Augmented Ops! Natan Linder and Erik Mirandette sit down to discuss their takeaways from the first season—while trying not to get derailed analogizing frontline operations to the Celtics Championship win.

Natan and Erik highlight the advancements (and stumbles) in industrial AI, and the way that open, interoperable ecosystems have fundamentally changed the way manufacturing tech stacks are built. They also reflect the need to focus on the frontline worker, the power of democratizing advanced technology, and more.

Augmented Ops is a podcast for industrial leaders, shop floor operators, citizen developers, and anyone else that cares about what the future of frontline operations will look like across industries. This show is presented by Tulip, the Frontline Operations Platform. You can find more from us at Tulip.co/podcast or by following the show on LinkedIn.

Episode 139: How to Architect Your Digital Strategy with Jeff Kramer

Tulip — Wed, 12 Jun 2024 00:30:00 -0400

This week’s guest is Jeff Kramer, VP Technology & Digital Factory at Kason Industries.

Jeff discusses why manufacturers struggle to develop a cohesive digital strategy, and lays out best practices around governance, data architecture, and bridging the IT/OT divide. He also explains why it’s critical for organizations to empower their frontline personnel by using technology to enable a citizen developer approach.

Episode 138: Democratizing Computer Vision with LandingAI’s Kai Yang

Tulip — Wed, 29 May 2024 00:15:00 -0400

This week’s guest is Kai Yang, VP of Product at LandingAI.

Kai discusses the need for a data-centric approach to AI, why vendors should build tools rather than solutions, and more, sharing lessons learned from his career in machine learning and software development. He also explains how new tools like visual prompting are democratizing computer vision and enabling anyone, regardless of skill level, to develop their own machine learning models.