

AI Defense Manufacturing, Enabling Versus Eliminating, and the Problem-centric Approach with Terry Miller
In this engaging episode of "The Startup Defense," Callye Keen delves into the fascinating realm of AI and generative modeling in the manufacturing and defense sectors with Terry Miller. Discover how AI technologies are reshaping industries and the challenges they face. Dive deep into the vital importance of defining clear problems before seeking technical solutions.
Topic Highlights:
[00:00] Introduce Terry Miller
Callye Keen introduces Terry Miller, Executive Director-Global Advanced Analytics at Johnson Controls, is an experienced Analytics service leader with a demonstrated history of working in the industrial automation industry.
[01:23] Unlocking Manufacturing's AI Potential
Explore the uncharted territory where manufacturing becomes a playground for AI, transforming it into an engineering, IT, and cybersecurity job.
[08:00] Machine Learning Engineers: A Scarce Resource
Terry Miller highlights the scarcity of machine learning engineers and their crucial role in scaling AI solutions in industrial applications.
[16:00] AI as an Augment, Not Replacement
Delve into the role of AI as a valuable augment in production environments, reducing downtime, enhancing productivity, and mitigating staff shortages.
[23:00] AI in the Defense Industrial Base
Examine the unique challenges and vast opportunities AI presents in the defense industry, driven by a multitude of small, specialized businesses.
[27:00] Defining Clear Problems for AI
Understand the importance of having a clearly defined problem before seeking technological solutions, and how this clarity can lead to impactful outcomes.
"In industry, you'll find examples where someone has realized the benefit of technology but then discovered that they didn't necessarily need a new technology; they could solve the problem with existing capabilities." Terry Miller
Callye Keen - Kform
https://www.linkedin.com/in/callyekeen/
https://twitter.com/CallyeKeen
Terry Miller - Analytics Leader
Experienced Analytics service leader with a demonstrated history of working in the industrial automation industry. Skilled in "Big Data" applications, IoT, IIoT, Predictive Modeling, Manufacturing Analytics, Engineering, Business Development, Project Engineering, Process Automation, and SCADA. Strong sales and marketing professional with a Master of Science (MS) focused in Predictive Analytics from Northwestern University.