Cyberattacks on Internet of Things (IoT) devices are on the rise, with 8 in 10 organizations having experienced an IoT attack. Companies in the healthcare, utilities and industrial, retail and supply chain, wearables, smart home, and connected car markets are the most at risk of an IoT breach. Some of the biggest mistakes organizations make include:
Gaming and social media are most often associated with the term metaverse, but other applications—notably Extended Reality (XR) in the enterprise—have been leading in the XR market. Digital twins, simulation tools, edge and cloud computing, and professional services/platforms lay the groundwork for future metaverse use cases. This blog post will review these technological underpinnings and discuss the key applications already being used today across industries.
Signaling was a major security vulnerability for legacy cellular generations (2G, 3G, and 4G), opening the gate to signaling storms, SS7 and Diameter-based exploitation, spam, and fraud. While it’s easy to assume 5G networks would be immune to such cyberattacks, this isn’t the case. Many 5G deployments are hybrid (also using legacy connectivity) and are Non-Standalone (NSA), making it essential that signaling continues to be a core focus of telco security solutions. Even for 5G Standalone (SA) networks, threat actors will adapt and leverage more elaborate schemes.
Dassault Systèmes was named the overall leader in ABI Research’s Offline Programming for Robotics Software in Industrial Manufacturing competitive ranking due to its robust and comprehensive offerings. The French multinational software company came out on top because its Offline Programming (OLP) software excels in the following three key areas.
One of the greatest global challenges we face today is the need to decarbonize. Environmental regulations and standards, rising energy costs, and increasing stakeholder expectations for sustainable operations are placing pressure on companies globally to establish sustainability targets and curb emissions. In particular, the industrial sector contributed around 30% of global emissions in 2023 according to the World Economic Forum, due to its significant energy requirements for industrial processes. As global economic growth and population rises, there is a greater need for companies to do more with what they have as materials and resources become scarcer.
Industry 4.0 is being fully embraced by manufacturers worldwide as enterprises aim to automate production tasks and gain clearer visibility into operations. Although manufacturers have used digital technologies for years, connectivity and technological maturity have only recently reached a point where more sophisticated solutions can be implemented.
Quality control is one of the most consequential aspects of manufacturing. We’ve seen all too many times what kind of brand damage a product recall or negative reviews can inflict on a company’s public image. This is why Quality Management System (QMS) software is a must-have in the modern manufacturing plant. A QMS solution can accommodate all your quality assurance requirements, ranging from risk mitigation to safety compliance. The market for QMS software is expected to nearly triple between 2024 and 2034—reaching a US$13.11 billion valuation.
Batteries are often associated with being hazardous and harmful for the environment. While this is true, their mineral-richness should not be overlooked. When properly recycled, you can recover scarce materials like lithium, nickel, and cobalt from a battery. These minerals can then be reused for future battery manufacturing.
When you’re driving in a new area and get lost, what do you normally do to get back on the right path? Today, most drivers would take out their phones and use Apple Maps, Google Maps, or Waze. But before these navigation apps were around, people took a special interest in their surroundings and made a mental note of physical landmarks to make sense of where they were located. This is similar to how Simultaneous Localization and Mapping (SLAM) works for robots and other autonomous systems. As the name suggests, SLAM is a technology method that maps a new environment and localizes a robot within that map at the same time. SLAM software uses signs and markers (landmarks) on a Three-Dimensional (3D) map as reference points.
By the end of 2024, there will be 5,709 public data centers worldwide—5,186 colocation sites and 523 hyperscale sites. Asia-Pacific has the highest concentration of data center locations, with Europe and North America following. ABI Research anticipates 8,378 data centers will be in operation by 2030.