Search results for: 'bridge between'

Internet of things connectivity managed platforms (IoT CMPs) provide the bridge between IoT devices, the internet, the edge, and the cloud, supporting a range of connectivity technologies. The platforms collect data and then analyze it to extract insights that organizations use to monitor asset performance, identify problems and anomalies, and make...

Frost & Sullivan defines managed services as subscription-based services in which a third-party provider contributes technology, infrastructure, and expertise; the enterprise and provider generally share control and oversight of application performance. Early managed services allowed enterprises to offload routine management tasks, but today’s comp...

This Frost & Sullivan study analyzes the global cellular IoT and LPWAN market between 2025 and 2031, covering traditional cellular IoT (2G/3G, 4G, and 5G), massive cellular IoT (NB-IoT, LTE-M, and 5G RedCap), and massive non-licensed LPWAN technologies (LoRaWAN, Sigfox, and other standards). The analysis evaluates market growth by technology, regio...

Insurtech risk assessment and analytics has grown because of the digitization of the insurance industry and the demand for online insurance products and secure data management. Companies in this segment leverage artificial intelligence (AI), machine learning (ML), and big data analytics to provide insurers with more accurate and actionable risk...

For financial institutions, the first months of 2020 were a test of operational agility. In response to COVID-19's chaos, including branch shutdowns, concerns about employee health and safety, and shifting government mandates, the financial firms best able to pivot were those that were already well into their cloud journeys. Such firms leveraged a ...

The Internet of Things (IoT) is a complex ecosystem that integrates Information Technology (IT) with Operational Technology (OT) to generate data that can be analysed to increase revenues and improve business productivity. The IoT has moved from the machine-to-machine (M2M) era in which monitoring an asset was the main objective to sensing, gatheri...

Quantum computing has entered a critical transition phase, moving from R&D experimentation toward early commercialization. This report examines what this supercritical period means for the global quantum computing landscape between 2025 and 2030 and the implications for enabling technological development across hardware, software, and cloud deploym...

As digitization progresses across industries, AI is gaining a ubiquitous adoption as more and more business processes are being automated. With this, the expectations from AI in terms of what applications can be realized using AI is also expanding, and thus a more complex set of neural networks have been introduced which are expected to leverage ad...

The development of augmented reality (AR), virtual reality (VR), and extended reality (XR) technologies expect to accelerate in upcoming years. Technology developers and adopters across various industries experiment with these innovations for mass deployment, driving the shift from product testing for specific application requirements to scaling th...