Machine Learning and Data Engineering Applications in Agriculture
"In God we trust, all others bring data." William Edwards Deming In this article, we show the importance of interference between Machine Learning, Data Engineering, and Agriculture. The main problems that farmers face on an everyday basis, such as climate changes,
From Overwhelmed to Optimized in Manufacturing: Overcoming Workload Challenges in Digital Transformation
In our extensive conversations with industry leaders across four continents, a recurring theme has emerged: the persistent challenge of internal resource constraints and overwhelming workloads in the realm of digital transformation. According to 2020 research by Gartner, 79% of organizations
Driving Sustainability, Energy Transition, and Performance through Digitalization
Energy transition and sustainability are now being woven into the core business strategies of industrial companies, who now have the mandate and opportunity to tackle environmental and social challenges. Companies that are more advanced in their digital journeys are already
Revolutionizing Industrial Connectivity: Introducing Proficloud
In today's rapidly evolving industrial landscape, connectivity is the key to unlocking efficiency and productivity. Industrial devices, such as those used in factories and energy management systems, generate vast amounts of data that can provide valuable insights for optimizing operations.
Building a Specification on top of MQTT to Meet Your Industry Requirements | SPONSORED
MQTT is the de-facto standard for IoT data movement due to its ability to connect millions of devices securely and reliably. However, during the implementation phase, companies may struggle to define the MQTT specification without a roadmap. Some specifications for
[Survey results] Gaining Deeper Understanding of ICS/OT Cybersecurity in 2022 | SPONSORED
In 2022, many new, ecosystem-complete RaaS (such as Black Basta, Pandora, and LockBit 3.0) emerged and adopted a ruthless multiple extortion strategy, attacking vital departments in the critical manufacturing, energy, food and agriculture, and healthcare and public health industries. We’ve
Harnessing IIoT Initiatives for Business Process Improvement
While IIoT is a concept that has been used for several decades, businesses still need help integrating devices and managing the vast amount of data generated. Customers often struggle with improving productivity and maximizing the potential of their existing infrastructure
June 2023 Industrial IoT & ICS Cybersecurity Events
Welcome to June 2023, the midpoint of the year! This month, we have compiled a comprehensive list of events happening worldwide, in-person and online, specifically tailored to the Industrial IoT & ICS Cybersecurity community across all industries. 3rd annual Sustainability Week
Revolutionizing Logistics with GripperAI
As the world of automation continues to evolve, there's one technology that's making waves in the logistics industry - GripperAI. Our co-founder, Lucian Fogoros, had the chance to interview Eberhard Klotz, Digitalization Expert, from Festo about this groundbreaking solution that
Why Edge Computing Matters in Manufacturing
Edge computing is not a new concept. When we look back at the history of manufacturing, even during Industry 1.0 and 2.0, decision-making and processes were happening at the edge. It was people at the edge who were making decisions,
Accelerating Digitalization and Innovation in Battery Manufacturing
As the world moves towards greater digitalization and the convergence of IT (Information Technology) and OT (Operational Technology), the battery manufacturing industry is experiencing a significant shift towards smarter manufacturing processes. In a recent interview with Brenda Discher, SVP, Business
Transforming Industries with Industrial Intelligence: Unlocking New Value with Data and AI
Industrial intelligence as a service is a new approach that differs from traditional data analytics capabilities by bringing together different disciplines of engineering, operational data, process data, and production data to create new value realizations. This approach aims to break