Adam Burns from Intel discusses out-of-the-box solutions for computer vision in manufacturing, retail, and healthcare. He explores real-time data value and task chaining in healthcare, AI adoption in collaborative work environments, and advanced computer vision applications in manufacturing.
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Quick takeaways
Intel's Getty platform enables rapid custom model development for diverse industries like healthcare and manufacturing.
Collaborative model development involving domain experts and data scientists ensures robust, specialized AI solutions.
Deep dives
Efficiency in Model Development
Developing computer vision models has transitioned from taking years to days due to customizability and enhanced performance. Intel's Getty platform allows for interactive and swift model building tailored to specific use cases, empowering domain experts in industries like manufacturing and healthcare to optimize AI applications quickly and efficiently.
Real-Time Data Utilization in Healthcare
Intel's Getty platform demonstrates significant advancements in healthcare by aiding in diagnosing pediatric lung diseases rapidly. The platform filters through extensive data sets to pinpoint crucial information, improving diagnostic accuracy, treatment precision, and patient outcomes. By achieving a 35-time increase in performance for tumor contouring procedures, Getty enhances radiology processes for more effective treatment delivery.
Collaborative Model Development and Human Involvement
Intel's Getty fosters collaboration among experts to create high-quality AI models, defying the misconception of complete automation in AI. By involving subject matter specialists alongside data scientists, Getty ensures the integrity and functionality of models through interactive tools and thorough analysis. This approach parallels the evolution of technology stacks, emphasizing scalability and specialization to drive AI innovation across various sectors.
Today’s guest is Adam Burns, Vice President of Network and Edge and director of EdgeAI Development Tools at Intel. Adam returns to the podcast this week to talk about out-of-the-box solutions for computer vision in manufacturing, retail, healthcare, and beyond. Throughout the episode, Adam discusses relevant use cases related to Intel’s Geti Platform, what industry leaders should know before deploying out-of-the-box AI products, and the essential lessons in model development he’s gained from developing these tools. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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