Making Manufacturing Analytics and AI Matter - The Survey
What’s really driving success with analytics and AI in manufacturing? In this episode, we dive into the latest industry survey results with Julie Fraser of Tech-Clarity to uncover what’s working, what’s not, and what leading manufacturers are doing differently. Don’t miss this data-driven conversation that puts real-world insight behind the buzz. This full survey report is available from MESA. It represents the next installment in the biennial survey that MESA has been creating for 2 decades now. There is a wealth to learn from our history of these surveys, from both current state as well as the trends that we can observe through the 21st century.
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53:35
What is Your Return on Data
Following on the heels of a great community discussion, I have Joanne Friedmann and Khris Kammer discuss the elevation of data to the forefront of IT/OT architecture. Embedded in that is a thinking about the value of data and how it be measured, your Return on Data. Smart manufacturing and the MESA model place data at the foundation of any effective architecture. There is a significant shift in IT/OT where data is becoming the core driver of architecture decisions, rather than just an afterthought. Traditional IT/OT architectures were built around applications, with data being managed as a byproduct. Now, data-first architectures ensure that storage, processing, and movement of data are optimized for real-time decision-making, analytics, and AI-driven automation. AI and machine learning models thrive on high-quality, well-structured data. Data must be easily accessible across different systems (ERP, MES, SCADA, etc.). Organizations are implementing unified data governance frameworks to ensure consistency, security, and compliance. Modern architectures use event-driven models to react in real-time, which is critical for smart manufacturing and predictive maintenance. Manufacturing execution system (MES) platforms will evolve to be data-first, prioritizing real-time analytics. AI-driven decision-making will require IT systems to be built around data streams, not just applications. Data interoperability between legacy and modern systems will be crucial.
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47:20
“Back to the Basics” What are AI/ML in Smart Manufacturing?
The pace of technology change in manufacturing can be dizzying. Some of our listeners to this podcast have asked us to take a step back from some of our deeper investigative topics and simply review the current state of technologies applied to analytics in smart manufacturing. We call this episode "Back to the Basics". I am joined by an all-star group of MESA experts to define what is artificial intelligence and machine learning and how they are being applied across all facets of manufacturing.
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39:51
How is Artificial Intelligence Changing Industrial Analytics?
How is Artificial Intelligence Changing Industrial Analytics?
From the Smart Manufacturing Now event and a tumultuous year of technology change, it's clear
that AI will have a significant impact on industrial operations. But how will we measure performance, quality and safety going forward? Is there continuity between operational analytics before AI and today, so that we can understand the impact. The Knowledge committee extends this discussion in this PodCast.
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42:49
How is Smart Manufacturing changing the MRO Practice
The practice of MRO (Maintenance, Repair, and Operations) has been with us as long as the first industrial revolution and today is as critical as ever. But Smart Manufacturing has had major impacts on MRO. Our group has assembled to discuss the impact of Smart Manufacturing on MRO. Smart Manufacturing technologies and operations enable more accurate predictive maintenance, better tracking of equipment conditions, and more efficient planning of maintenance activities, leading to further improvements in operational efficiency and cost savings.
"MESA Knows" is a semi-regular discussion lead by the MESA International Knowledge Committee Working Group. Group chair, Chris Monchinski, leads a panel of regular experts from the working group and invited guests to discuss topics that are relevant to the application of Analytics and Data Science to Industrial Digital Transformation.
South Africa