Latest AI Solutions Industry Articles

Categories

Data Centers, AI, and the New Control Playbook: Weidmüller’s Perspective

Data Centers, AI, and the New Control Playbook: Weidmüller’s Perspective

Control.com chats with Weidmüller to get some insights about data center automation, learning about security, environmental impacts, regulations, and more.


Ask an Engineer: Universal Robots Shares Four Physical AI Predictions

Ask an Engineer: Universal Robots Shares Four Physical AI Predictions

Physical AI, where technology is applied to real-world devices like robots, is set to have a major impact over the next few years. UR Shares some predictions, along with some exclusive deeper insights.


The Upgrade Adventure: Dataflow Management for Existing Systems

The Upgrade Adventure: Dataflow Management for Existing Systems

Modernizing legacy plants requires careful dataflow design. See how audits, protocol choices, edge computing and security layers can unify old and new systems for better insights and operations.


The Importance of Development: Creating a Strategy for Dataflow Management

The Importance of Development: Creating a Strategy for Dataflow Management

Smart greenfield design unlocks clean, scalable dataflow. Learn how defining KPIs, choosing open architecture, contextualizing data, leveraging edge computing, and using the cloud wisely can transform operations from day one.


The Process of Evolution: How Automation Systems Enable Agile Operations

The Process of Evolution: How Automation Systems Enable Agile Operations

Automation is evolving. Today, this is marked by a shift towards more efficient, sustainable operations, enhanced by closer collaboration between humans and machines, enhancing safety and profitability.


Industry Insights: Oxipital AI Explains the Reality of Modern Vision Systems

Industry Insights: Oxipital AI Explains the Reality of Modern Vision Systems

Recently, Control.com interviewed Oxipital AI to learn exactly how incorporating AI into vision systems and machine learning is improving the food & beverage industries.


Can Control Panels Self-Heal? A Look at Smart Fault Design

Can Control Panels Self-Heal? A Look at Smart Fault Design

Explore how modular hardware, predictive diagnostics, and fault-isolating technologies are transforming control panels into resilient, self-healing systems.


IIoT, Cloud Services, and Edge AI Combined Through Arduino

IIoT, Cloud Services, and Edge AI Combined Through Arduino

Pairing IIoT with cloud services provides industrial and manufacturing facilities with real-time data displayed in intuitive dashboards and reduces downtime.


AI-Powered Depalletization: the Key to Grocery’s Automated Future

AI-Powered Depalletization: the Key to Grocery’s Automated Future

Advanced 3-D imaging and pattern recognition algorithms are required for robotic depalletization systems to deal with the different shapes, sizes, and textures of packaging materials using in grocery logistics.


Can Generative AI and Large Language Models Help Catch More Krill?

Can Generative AI and Large Language Models Help Catch More Krill?

This article reviews the challenges and opportunities when incorporating generative AI and Large Language Models in industrial applications. It also examines how a Norwegian fishing and biotech company improved operational productivity and efficiency using generative AI.


5 Reasons Why Sensors Are Crucial For Modern Manufacturing

5 Reasons Why Sensors Are Crucial For Modern Manufacturing

Data has become the currency that enables operational excellence. Sensors are the key links, acting as the eyes and ears of modern manufacturing units by providing real-time data on machine performance.


How To Know When Predictive Maintenance Isn’t An Ideal Solution

How To Know When Predictive Maintenance Isn’t An Ideal Solution

To know if predictive maintenance is the right strategy, it might help to first recognize if it isn’t. Here are some indicators that your organization should improve before implementing predictive maintenance.


Memory: A Challenge on the Road to Industry 4.0

Memory: A Challenge on the Road to Industry 4.0

Memory for data is among the most pressing challenges to Industry 4.0. Given the evolving nature of Industry 4.0 and associated memory solutions, however, some memory-based trends are becoming apparent.