Building Production-Ready AI Models for Manufacturing - LatticeFlow Roundtable

Explore the intricacies of building production-ready AI models for manufacturing in this 57-minute roundtable discussion hosted by MLOps.community. Delve into practical solutions and advanced techniques for developing resilient, safe, and high-performing AI systems in the manufacturing industry. Learn how to overcome challenges such as costly data acquisition, class imbalances, data shifts, leakage, and model degradation over time. Gain insights from industry experts as they discuss uncommon use cases, the transition from proof of concept to production, hybrid AI integration for safety, training AI for defect variability, and metrics for evaluating success. Discover the potential of large language models (LLMs) in manufacturing and explore the trust dynamics between traditional machine learning and LLMs. Benefit from the expertise of seasoned professionals in computer vision, machine learning, and industrial analytics as they share their experiences and innovative approaches to solving complex manufacturing problems with AI.

[] Demetrios' Intro
[] Announcements
[] Join us at our first in-person conference on June 25 all about AI Quality!
[] 10-second speakers' intros
[] AI ML uncommon use cases
[] Challenges in Implementing AI and ML in Heavy Industries
[] Optimizing AI use cases
[] Moving from PoC to Production
[] Hybrid AI Integration for Safety
[] Training AI for Defect Variability
[] Challenges in AI Integration
[] Metrics for Evaluating Success
[] Challenges in AI Integration
[] Usage of LLMs
[] Fine-tuning AI Models
[] Trust Dynamics: TML vs LLM
[] Wrap up