Artificial Intelligence in Manufacturing with Brian Mathews and ABhishek Pani of Bright Machines
The manufacturing industry contributed to one of history’s greatest productivity revolutions. However, today the industry has been left behind by the technological revolution. Despite attempts at automation in manufacturing, the industry remains known for its tough and mundane manual labor which leads to safety risk and high employee turnover. Technologists are rethinking manufacturing with artificial intelligence as their primary tool.
In this episode, I sit with Brian Mathews (Chief Technology Officer) and Abhishek Pandi (Chief Product Officer) of Bright Machines. We discuss the process of automating automation, redesigning manufacturing with a primary focus on software, why traditional automation approaches can’t deliver ROI, the process for training on synthetic data, go-to-market strategy, and much much more.
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Show Notes with Timestamps (VIDEO):
2:32 Background on Brian Mathews and experience at Autodesk
3:33 Abhi’s background and deep leadership in AI at Adobe
5:22 The impact of globalization and the need for automation in manufacturing
8:14 The challenges with traditional approaches to automation in manufacturing
10:38 How the emergence of AI/ML enabled Bright Machines to redefine automation
14:56 “What we build for our customers”
16:23 How AI/ML is being used to build products
18:09 Deciding what AI solution to build first
22:37 The importance of domain and context when choosing an ML approach | synthetic data
26:03 An approach to building synthetic data
31:25 Data strategy – collecting and labeling data
35:09 Building for adoption by non-technical users
39:36 Customer conversations and go to market
47:18 Recruiting top talent in AI/ML
40:14 What attracts top talent
52:09 Favorite tech tools: Slack
52:39 Inspirational Figures: Michael Jordan (of Berkeley), Steve Wozniak, Elon Musk
Previous Episode: Micheal Bingham, Founder & CEO of xIris