You could be forgiven for labeling IoT connectivity and analytics as tools primarily designed for data collection. These technologies do gather vast amounts of information from machines, sensors, and systems, but viewing them solely through the lens of collection limits their true potential. When co

In recent years, the industrial sector has undergone a significant transformation thanks to the pervasive use of the Internet of Things (IoT). IoT devices have become an integral part of industrial environments, collecting data from equipment, sensors, and machinery across various processes. While t

The number of IoT use cases is on the rise across industries, and many of them are providing higher ROIs than they did just a few years ago. Those are two of the main findings in the recent “IoT Use Case Adoption Report 2024” from IoT Analytics. Specifically, the number of IoT use cases grew 53% fro

Supply chains have always been vulnerable to events and glitches, flummoxing even the most well-managed companies and services. Will real-time artificial intelligence finally bring some sense to this complex endeavor? Or is it only the latest elixir being pitched as a remedy for all ills? By nature,

As the manufacturing industry continues its digital evolution, there will be a greater reliance on data from Industrial IoT (IIoT) devices deployed throughout a company’s entire operations. Looking to 2025, such devices will increasingly be highly connected and produce much richer, finer-grained dat

Data-driven organizations either succeed or fail based on their ability to make decisions based on the freshest, most up-to-date information. Whether you’re optimizing supply chains, detecting fraud in financial transactions, or personalizing the customer experience in real-time, data freshness is p

The retail sector has not been immune to the proliferation of IoT-enabled devices and sensors throughout stores, customer service channels, warehousing, and the supply chain. Now, retailers are layering on Artificial Intelligence to better leverage this data. As such, the artificial intelligence of

Industrial manufacturing organizations often find themselves grappling with an inherent challenge: legacy devices, machines, and systems. These aging OT systems, designed for a different era of operations, typically rely on proprietary communications protocols and were never designed to share their

Dr. Armand V. Feigenbaum, the man behind the concept of Total Quality Control, also introduced the concept of the “hidden plant”—the untapped potential within manufacturing systems lost to inefficiencies like errors, rework, and idle equipment.  Today, this idea of the invisible or hidden factory ha

The integration of Information Technology (IT) and Operational Technology (OT) is reshaping the industrial manufacturing landscape, offering opportunities to improve efficiency, innovation, and competitiveness. Traditionally, IT and OT have operated in silos—IT focusing on data-centric enterprise op

The data lakehouse has emerged as a flexible, multi-use repository. In this Smart Talk episode, Dinesh Chandrasekhar, CEO of Stratola, and his guest, Justin Borgman, CEO and Chairman of Starburst discuss how to stretch the capabilities of a data lakehouse to include real-time data and high-performan

The construction industry is the backbone of global development, shaping the environments where we live, work, and connect. It accounts for nearly 13% of the world’s GDP and employs millions across diverse sectors. Yet, despite its critical role in economic growth and infrastructure, the industry st

Over a decade ago, the vision of Industry 4.0 promised a groundbreaking transformation in industrial manufacturing. By leveraging interconnected systems, real-time data, and advanced analytics, companies were expected to unlock unprecedented levels of efficiency, productivity, and agility. Yet, toda

For years, auto makers have relied on data-driven technologies to improve manufacturing operations, cut costs, and enhance efficiencies. Most use IoT and advanced analytics to keep a real-time eye on operations. More recently, those technologies have been complemented by the use of digital twins, vi

IoT devices are expected to incorporate new technologies and capabilities in 2025, making them more powerful than ever before. Those developments are likely to be leveraged by industrial companies to get more out of IoT than was previously possible. One area where there are expected to be many devel

Auto manufacturers have turned to smart manufacturing technologies to bring cars to market with more driver-demanded features faster while dealing with more stringent regulations and supply chain issues. In the past, those technologies were essentially deployed and used independently; now, there is

Link to Best Practices for Deploying and Scaling Industrial AI Best Practices for Deploying and Scaling Industrial AI Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry vert

As the internet of things and edge computing proliferated, companies, especially manufacturers and technology providers, began to shift their business models to draw revenues from service provision, providing software patches, or predictive and preventative maintenance services to customers long aft

In today’s data-driven world, manufacturers are seeking faster, smarter ways to improve operational efficiency, ensure safety, and make real-time decisions. One of the most promising tools to help them achieve these goals is real-time visual intelligence. But building a system that delivers actionab

In the sporting goods industry, innovation is the battleground where brands win or lose. Consumers demand more innovative, personalized, and sustainable products, pushing manufacturers to rethink every stage of the product lifecycle. How can this be achieved? The answer lies in a digital transformat