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ML

Manufacturing Analytics and AI

Making Manufacturing Analytics and AI Matter

How can companies be sure to gain value from manufacturing analytics and AI projects? It turns out benefits are ubiquitous for those who have invested. Yet the Top Performers in our new survey of over 400 manufacturing respondents indicates some key differences that improve their results. Please enjoy the summary* below. For the full research,…

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  • eBooks

Julie Fraser - April 2, 2025 - Filed Under: Published Research, eBooks, Survey Results - Tagged With: ML, Analytics, Predictive Analytics, GenAI, Skills gap, Descriptive Analytics, Smart Manufacturing, Supportive Analytics, AI, Knowledge Gap

Lab Integration

5 Ways to Digitally Transform the Lab

How can manufacturers bring the same digital transformation benefits enjoyed by other operational areas to the lab? How can the lab continuously improve and join the digital transformation? We offer five ways to get started. Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes BIOVIA (registration required). Table of…

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  • eBooks

Jim Brown - March 27, 2024 - Filed Under: Published Research, eBooks - Tagged With: AI, Data Governance, Five Dimensions of Lab Integration, ML, Lab Platform, Scientific Platform, Platform, Taxonomies, Continuous Improvement, Ontologies, Lab, Digital Thread, Chemical Lab, Laboratory, Digital Transformation

Supply Chain Optimization

Optimizing and What-if Scenario Planning: What’s Working, What’s New

In this time of uncertainty and new technologies, is it time to re-evaluate how we explore and fine-tune our supply chain forecasts, schedules, and plans? For decades, optimization and what-if planning have been in place in manufacturing supply chains. We’ll discuss new possible approaches and what we have seen working. Are traditional algorithmic and simulation…

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  • Virtual Events

Julie Fraser - February 13, 2024 - Filed Under: Virtual Events, Presentations & Videos - Tagged With: Optimization, Digital Twin, AI, What-if Scenario Planning, ML, MESA, Analytics, Simulation, Supply Chain

Manufacturing in the Age of AI

What defines Manufacturing in the Age of AI? How much progress are companies making toward Industry 4.0? What data management elements have leading manufactures put in place to support rapid decisions? Our eBook Manufacturing in the Age of AI explains the findings of our survey of over 300 manufacturing professionals. It reveals answers to these…

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  • eBooks

Julie Fraser - August 3, 2023 - Filed Under: Published Research, eBooks, Survey Results - Tagged With: AI, Manufacturing Information, OEE, Skills Shortage, ML, Plant Data, Advanced Analytics, Manufacturing Data, Cost Targets, IT/OT, Frontline Worker, IIoT Platform, Application Integration, Industry40, Staffing, MES, Plant Operations, Digital Twin, Data Integration

Manufacturing IT Podcast

Julie Fraser on The Manufacturing IT Podcast with Daniel Langley

What has changed in the past 30 years of manufacturing? Listen to the Manufacturing IT Podcast episode where Julie Fraser shares her thoughts with host Daniel Langley. We wander through topics from cigars and sexism to rebranding manufacturing and remaking companies to be more customer-centric and serious about ESG to overcome the skills shortage. You’ll…

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  • In the News

Julie Fraser - July 6, 2022 - Filed Under: In the News, Insights & Activity - Tagged With: Digital Thread, AI, Low-Code, No-Code, Skills Shortage, ML, customer centric, Sustainability, ESG, Manufacturing, Applications, Supply Chain

Operations Data Management

Operations Data Management: Five Facets to Gain Batch Process Insights

What makes it so difficult to manage operations data and achieve AI success in batch process industries? There are many valid answers, and it’s crucial to address them all. In this white paper, we explore special issues around mindset, complexity, multiple disciplines, and a variety of dispersed data. We also address how these batch process…

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  • White Papers

Julie Fraser - March 21, 2022 - Filed Under: White Papers, Published Research - Tagged With: Operations, ML, Ontology, Data Contextualization, IIRA, Data Harmonization Batch Process Manufacturing, Data Management, Industry 4.0, Data Platform, AI

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