Industrial IoT and MQTT: Key Insights from HiveMQ at ARC Forum
In this interview at the ARC Forum 2024, Ravi Subramanyan, HiveMQ, Director of Industry Solutions Manufacturing shares invaluable insights that encapsulate the current and future landscape of the Industrial Internet of Things (IoT) and data communication. The discussion highlights a
Leveraging AI for Tangible Business Outcomes: Insights from the Front Lines of Digital Innovation
In this interview, Rashesh Mody, EVP Business Strategy & Realization, Aveva, discusses the significant impact of Artificial Intelligence (AI) on digital transformation and how it can provide tangible benefits to organizations, focusing on Industrial AI. He emphasizes AI's crucial role
2024’s Big Challenges: What Every Manufacturer Must Overcome
In the throes of 2024, manufacturers are at a crucial juncture, facing a landscape brimming with both unparalleled challenges and transformative opportunities. Our comprehensive ebook, "2024's Big Challenges: What Every Manufacturer Must Overcome," offers an incisive look into the top
Building the Next Generation of Smart PLCs With the ctrlX CORE and InfluxDB | SPONSORED
Program Logic Controllers (PLCs) have played an integral role in industrial automation since their initial creation during the 1960s. Since then, we've seen incremental improvements to their form and function throughout the years. The problem? While PLCs are exceptional at managing
ABB Enhances Control Room Conditions for Operator Wellbeing
In the industrial sector, the well-being of control room operators has historically taken a backseat, with many overlooking the impact of workspace conditions on operational efficiency and safety. ABB's recent launch of its Operator Wellbeing Service (OWS) marks a significant
Unveiling the DCN Framework by Schneider, Intel, and Red Hat
Schneider Electric, in a groundbreaking collaboration with Intel and Red Hat, has announced during the ARC Forum 2024 the launch of a Distributed Control Node (DCN) software framework, a significant step forward in open automation infrastructure. This innovative framework is
Generative AI in Asset-Heavy Industries: An End User Perspective
Karen Czachorowski, Digital/Data Product Manager, Aker BP, and Bill Hendricks, VP of Manufacturing, Cognite share their insights during the ARC Forum 2024 on the topic of Generative AI in Asset-Heavy Industries, in this case, in the process industry, focusing on
ARC Advisory Group Announces Sustainability Data as a Service
ARC Advisory Group announced during the ARC Forum 2024 the release of Sustainability Data as a Service (SDaaS). This subscription-based service provides a use case-centric view of key opportunities related to energy transition and sustainability in the global industrial marketplace.
An Introduction to AI Anomaly Detection | SPONSORED
In the evolving landscape of industrial IoT, the ability to identify anomalies is not just a luxury but a necessity. This blog post shows how AI-driven anomaly detection is transforming how industries operate and setting new standards in efficiency and
Manufacturing’s Shift to Digital Tools for Talent Growth – Real-World Success Stories
Manufacturing companies are increasingly turning to digital transformation technologies as a solution to the talent shortage they face. Below are listed just a few ways how they are using these technologies: 1. Talent Ecosystems and Workforce Development: By creating talent ecosystems,
Dive into the Future: A 5-Day IoT Security Webinar Series | SPONSORED
Embark on a deep exploration of the Internet of Things (IoT) with Keyfactor's upcoming 5-day webinar series, "IoT Insights Unveiled: A 5-Part Webinar Series”. The series will focus on IoT Security. Event Details: • Series Title: IoT Insights Unveiled: A 5-Part Webinar
Why You Need a Time Series Database for Predictive Maintenance
In the industrial sector, unplanned downtime can lead to significant financial losses. Predictive maintenance offers a solution to this problem by identifying potential issues before they cause disruptions. One crucial component of an effective predictive maintenance system is a time series