Artificial Intelligence (AI) is being used in a variety of ways across oil & gas operations, from asset tracking and predictive analytics to data management. Oil & gas operations generate massive amounts of data—up to 2 terabytes daily in some cases. Human analysis can only uncover so much, leaving numerous opportunities in the shadows. By deploying AI software tools, this disparate data can be used to bring new insights to light. These tools identify drilling opportunities, streamline processes, and optimize performance.
What Is Overall Equipment Effectiveness?
Overall Equipment Effectiveness (OEE) is a critical metric manufacturers use to measure and optimize production efficiency. It evaluates three key factors: availability, performance, and quality, helping to pinpoint bottlenecks, downtime, and inefficiencies in the production process.
To the average person, Wi-Fi is simply known as a technology used to play online video games, launch Netflix, connect their laptop to the Internet, or enable other common applications. While this mostly holds true today, the future of Wi-Fi is much more appealing with the advent of Integrated Sensing and Communication (ISAC). After significant progress in standardization, ISAC is inching closer to prime time.
Mobile network data traffic is projected to nearly triple by 2030, requiring a shift toward high-performing, programmable networks powered by openness and cloud technologies. This evolution enables service providers to offer performance based services rather than relying solely on data volume. Establishing a strong foundation for network evolution is essential for driving 5G business growth.
The telecommunications industry is increasingly under pressure to reduce carbon emissions and improve transparency. Various government regulations have targeted the sector, while customers and partners are demanding more energy-efficient networks. While telcos have largely succeeded in reducing Scope 1 and Scope 2 emissions, progress in reducing Scope 3 emissions has been sluggish.
Generative Artificial Intelligence (Gen AI) radically changes how supply chain leaders manage operations. Gen AI’s ability to analyze vast datasets and identify patterns enables organizations to accurately forecast future demand, automate document generation, and pinpoint logistical bottlenecks. Moreover, Gen AI tools allow supply chain managers to simulate specific scenarios so that they are prepared for unforeseen events (e.g., natural disasters, geopolitical tension, etc.).
The manufacturing industry is in the midst of a transformative period. Technological advancements are enabling unprecedented operational efficiencies and revealing previously hidden revenue opportunities. At the same time, manufacturers must contend with the baby boomer exodus, curb rising cyberthreats, and meet climate regulations.
The telecommunications landscape is rapidly evolving as 5G expands and networks are becoming more complicated. Passive cellular antennas have traditionally been viewed as static infrastructure; however, they are now changing because operators want antennas to be designed for specific deployment contexts, such as crowded rooftops, energy reduction, and the need to blend into the built environment. In turn, vendors are providing compact designs that include multiple functions and perform across multiple frequency layers.
In this blog, we list nine passive cellular antenna vendors based on ABI Research's latest comparative analysis, focusing on their unique strengths, product capabilities, sustainability efforts, and market performance. These companies are the market incumbents, big players like Huawei, PROSE, Ericsson, CICT Mobile, and Hengxin Technology.
Then we follow that up with an evaluation of six lesser-known antenna vendors that provide advanced passive antenna solutions for mobile and fixed wireless networks. This company list may not be as widely renowned as the market incumbents, but they are nevertheless recognized for technical competency within the telecom industry.