Exploring how manufacturers move from fragmented operations and stalled AI pilots to AI-native production by unifying operational data and embedding AI into critical workflows to drive faster, smarter decisions.
Manufacturers are facing a familiar challenge: despite growing investment in data and artificial intelligence, many organizations remain stuck with fragmented systems and isolated AI pilots. Disconnected data across enterprise and operational technologies—including ERP, manufacturing execution systems, maintenance, quality, and supply chain platforms—combined with manual processes continue to slow decision-making. As labor shortages, production disruptions, quality demands, and supply chain volatility increase, the gap between operational insight and real-time action has become a significant barrier to performance. How can manufacturers move beyond isolated AI initiatives and embed intelligence into everyday operations to deliver measurable business value?
Leading manufacturers are addressing this by unifying operational data into an AI-ready foundation and embedding AI directly into critical workflows. By integrating with existing enterprise and operational systems rather than replacing them, organizations can accelerate AI deployment, enable real-time recommendations, automate operational decisions, and reduce reliance on reactive reporting. The result is improved production efficiency, reduced downtime, stronger quality outcomes, and more resilient supply chain operations.
Join a select group of manufacturing leaders to explore how to turn AI into measurable operational impact. You'll gain insight into where AI can deliver immediate business value, how to accelerate deployment across existing environments, and what it takes to operationalize AI at enterprise scale.
Speakers
Jacquelyn Goldberg
About Unframe Inc
Unframe is the Managed Al Delivery Platform that helps enterprises turn high-priority Al use cases into production-ready solutions in days. Unframe embeds directly into your core Al program, defining, designing, and delivering tailored solutions to complex business and technical challenges. This approach enables high accuracy and measurable business impact. Unframe supports a wide range of use cases, including observability and reporting, extraction and abstraction of unstructured data, and AIpowered workflows and agents. Solutions can run in the customer’s cloud, onpremises, or as fully managed SaaS, and can work with any modern LLM. Unframe is headquartered in Cupertino, California, with a global presence in Tel Aviv and Berlin.
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