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The current topic seems to be expansion of software control to make robotics easier to use and with expanded repertoire. Future-Ready AgilityEnables the flexible adoption of new breakthroughs – such as AI-driven processes – to quickly adapt to new market realities and rapidly changing conditions.
And at the center of it all is data. Our May, 2025 print edition offers five stories that unpack data-driven manufacturing and showcase its role in a variety of shop settings. Let’s start with AI’s role in discrete part manufacturing — a topic prone to wildly varying interpretations within our industry.
The devil is in the data – harnessing AI and predictive technologies to drive resilience in an era of connectivity These year-end predictions stories always seemed like some sort of journalist fill-in piece to me. I seldom did them as a magazine editor. Although I have written two so far for other publications. They sent these thoughts.
This topic also includes software-defined architecture and extensive use of digital twin. Products include Plex software, OTTO AMR technology, data-ready equipment, Mosaics, industrial data ops, and EnergyManager. From sensors to controllers, it’s all about data. Rockwell has enhanced the edge-to-cloud experience.
Many go a little afield of my normal topics, but with the changing market I tend to go where tech trends take me. This relates to a deeper use of data and data analysis for materials development. The post MaterialsZone Develops Data-Driven Materials Informatics appeared first on The Manufacturing Connection.
Many businesses see value in using a cloud-based CMMS where information is stored remotely and increased computational resources enable detailed analysis of maintenance data. Reporting An important benefit of a CMMS is the ability to capture and analyze maintenance data. Updated regularly, good data security.
The company said its foundation models learn from real-world sensor data, robotic systems, and industrial workflows, unlike other generative AI models that rely on text, code, and images. It plans to expand its proprietary data pipelines across its industrial partner sites and advance its robotics foundation model stack.
State-affiliated Groups Responsible for nearly 60% 60% of incidents result in operational disruption, driving the need for proactive OT defenses and incident response The topics of this time are Cybersecurity, Sustainability, and Workforce with the impact of AI playing on all three. This news from Rockwell Automation focuses on Cybersecurity.
One consequence is to leave maintenance data in silos, making it harder than it should be to implement effective maintenance strategies and optimize spare part inventories. This blog describes how a holistic approach to maintenance, repair and operations (MRO) data management builds a solid foundation for improving operational efficiency.
Capacity planning Accurate reporting of wrench time data helps companies estimate the workforce capacity needed to complete preventive and predictive maintenance tasks. Techniques like work sampling can provide helpful observational data to support wrench time analysis and improvement.
Recent data from Empowered Automation and regional economic studies rank Chicago among the top U.S. Robotics, AI-driven analytics, and interconnected systems are delivering gains in productivity, cost efficiency, and quality. manufacturing markets, thanks to its infrastructure, logistics capacity, and skilled labor force.
My colleague Derek Korn and I were recently asked to select a metalworking and machining topic and conduct a live Q&A about it on the main stage at IMTS 2024 this past September. ” The discussion focused on how shops can make informed decisions using data-driven feedback to improve shopfloor efficiency and profitability.
Source: Adobe Stock The agriculture industry is faced with tremendous changes driven by climate change, a growing global population, and the increasing scarcity of resources such as water and farmable land. There is also legal footing regulating the use of autonomous machines on farm fields, which is a heavily discussed topic in the industry.
This approach relies on data, requiring leaders to access both historical performance records and real-time information from Industrial Internet of Things (IIoT) enabled sensors. Here, performance data is critical to justify budget requests. Strategies for effective maintenance leadership A good maintenance manager defines clear goals.
This topic is slightly outside my usual area of expertise but shows extension of digital technologies (should we say even digital transformation?) Hexagon’s DESIGNER software accepts CAD data from any vendor, and helps manufacturers easily visualise and analyse part model geometry. into the machine shop market.
Key agenda topics include: Automation and Efficiency in Manufacturing: Exploring how IoT-driven automation enhances manufacturing processes. AI-Driven Predictive Maintenance in Industrial IoT: Success stories highlighting the integration of AI in predictive maintenance. Discover more on TechEx here: www.techexevent.com.
This topic has emerged as the most sought-after and in-demand subject for our team, captivating the attention of our clients. Digital Transformation: Embedding data-driven decision-making, automation, and customer-centric innovations. Data & Cybersecurity Readiness: AI thrives on high-quality, secure data.
Video as a sensor has been a topic for several posts here at The Manufacturing Connection. They would be presented with data visualization designed to help them get to root causes of problems, assist worker ergonomics, improve safety, and boost productivity. Proof in the data. The video is captured and run through analytics.
Usage data & demand forecasting : Analyzing historical consumption data and consulting OEM recommendations helps establish accurate reorder points. A data-driven approach minimizes stockouts and reduces unnecessary overstock.
Key advancements by SuccessKPI that cut through the noise among other WEM providers SuccessKPI’s patented Playbook Builder allows businesses to automate real-time actions (such as sending an email or SMS, invoking a fraud identification routine, or sending a conversation to the evaluation workspace) based on data, to improve business outcomes.
From Data to Data Sources Stacey Higginbotham writing in Stacey on IoT Bringing AI to the farthest edge requires new computing. Most of her topics are commercial/consumer and chips (her reporting background). This is a vast amount of data. Stacey writes about IoT generally. We have tools, but we will need more.
Launch a pilot line , gather real-time data, and iterate. Digital tools & data requirements Digital infrastructure amplifies the effectiveness of production leveling. By linking machines, systems, and data streams, manufacturers can respond faster to changes and maintain smoother production flow.
The arguments range from "collecting worthless data" to the assumption that it is impossible to seamlessly connect the individual layers and thus enable smooth communication among them. This enables us to guarantee security, data quality and smooth communication. Likewise, the security of such a structure is often questioned.
AI systems learn by being trained on a set of data. This can be supervised, where the data is labeled, or unsupervised. This will flow from the ability to work with ambiguous records and data while simultaneously identifying trends and relationships that provide new insights into maintenance activities.
The Future of Logistics Automation Speaker: TBD 10-10:45 AM The future of logistics automation is evolving rapidly, driven by advancements in robotics, AI, and autonomous systems. It will also illustrate how the system uses a data-centric architecture to protect itself against unauthorized access.
In this application of the idea, decision-makers rely on heavy amounts of data pertaining to cycle times, production rates and queue lengths to guide their efforts. For example, poor data collection can paint the wrong picture of what’s truly going on in the production process.
launch, by covering key topics crucial to their growth, including: Understanding U.S. Source: MassRobotics Cohort from Korea represents a range of innovations The Korean startups represented a wide range of cutting-edge technologies, from autonomous drones to AI -driven robotics and logistics solutions.
Establish data-oriented practices to optimize performance and continually improve the efficiency and impact of marketing channels. You have strong analytical skills and make data-driven decisions based on thorough analysis of campaign performances. Develop strong relationships with analysts (Gartner, Forrester, etc.)
And perhaps most importantly, 92% of large manufacturers have seen a positive ROI on their data and AI investments. Benefits of AI in manufacturing AI in manufacturing offers numerous benefits, including: Data collection & data-informed decisions Connected facilities collect vast amounts of data throughout every cycle, every day.
Agenda overview The recently released Summit agenda outlines how these speakers and other industry leaders will discuss critical technology topics that impact sustainability including AI, hydrogen, renewable energy transition, grid resilience, energy efficiency in the built environment, industry funding, mandatory climate reporting and more.
This is being reinforced by customers’ demand for vehicles that integrate seamlessly into their highly interconnected, digitally driven lifestyle. Key agenda topics for discussion include: The evolution of electrical/electronic (E/E) architectures and software-hardware decoupling.
A good cloud platform helps users manage data along the lifecycle, which supports curation and utilization to enable effective data analytics and machine learning (ML) to generate insights that can make manufacturing operations better. This is the OT side of the operation. How do they connect to the IT and the cloud?
O’Reilly , the premier source for insight-driven learning on technology and business, today announced the findings of its annual Technology Trends for 2025 report , offering data-driven insights into the most popular technology topics consumed among its 2.8 million users. and Java dropping by 13%.
The company ’s electrically driven and modular grippers are easier to deploy and use than other soft grippers, according to Onder Ondemir, president of Ubiros. Ubiros Gentle grippers promise benefits Ubiros’ Gentle grippers use electric servo motors and a cable-driven system similar to the tendons of the human hand.
The role of systems integrators has evolved to encompass diverse talents, project management, and a broad range of functions in plant-floor data analysis. For example, supervisory control and data acquisition (SCADA) used to be almost solely a plant-floor concern. million manufacturing jobs unfilled by 2030. SIs have changed.
O’Reilly , the premier source for insight-driven learning on technology and business, today announced the findings of its annual Technology Trends for 2025 report , offering data-driven insights into the most popular technology topics consumed among its 2.8 million users. and Java dropping by 13%.
The TNMT newsletter reaches over 10,000 internal and external subscribers, and the entire innovation team is dedicated to setting the standard for cutting-edge, data-driven strategic research. Our mantra is unconventional data perspectives. LIH publishes the only regular report with in-depth research on this topic.
Five Reasons You Should Speak at TASC Shape the Rapid Transformation of Our Industry Each year, hundreds of billions of dollars flow in and out of the metalworking industry globally, driven in no small part by how small- and mid-sized job shops are automating their facilities. They shape best-practices that will be emulated by others.
We are thrilled to offer these funding opportunities to our members and partner with industry experts who are driven to advance AM on a national level.”. RIC award winners and related topics/projects: Topic 3: Process-Structure-Property Relationships for Directed Energy Deposition (DED). Winner: Edison Welding Institute (EWI)
Case in point: Earlier this year, Gardner Business Media, the parent company of Modern Machine Shop, appointed a correspondent to cover the topic of sustainability in manufacturing. While Europe and Asia seem to confront the issue more directly than we do in the U.S., A key focus of the event was the company’s sustainability mission.
aims to improve productivity, efficiency, flexibility and overall competitiveness in manufacturing and industrial sectors by leveraging these advanced technologies and concepts, but few agree on the included technologies or scope and reach of the topic. Most would agree that industry 4.0 provides valuable insights into industrial processes.
Learning Objectives Understand data from an Augury survey that explains how artificial intelligence can identify and improve manufacturing production goals. The resulting study also covers manufacturing production topics include challenges, roadblocks, sustainability, workforce, technology among others.
It’s data, and rather than being used directly to manufacture products it’s a crucial component of how the industry builds its processes and procedures. As one of the driving forces behind how the sector operates in the 21 st century, big data in manufacturing is big business. In fact, it doesn’t even physically exist.
Due to the sensitive nature of the topic and the potential damage – both financial and reputational – cyberattacks can wreak and result in a whole new level of threat. The rising use of technology in manufacturing supply chains means the sector is more at risk of cyber breaches.
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