Search results for: 'drip integration of termin ad ai'

The application performance monitoring (APM) market has products that measure the performance of business-critical applications from an end-users perspective. The application aware network performance monitoring (AANPM) market has products that measure performance from a network-based perspective. The total market is witnessing significant technol...

Structural health monitoring (SHM) is a process of damage detection and prevention of high value or critical assets, such as bridges, buildings, aircraft, pipelines, and so on. Different types of sensors and detection systems are being explored for assessment of structural integrity. SHM technologies not only detect the ongoing damage of a structur...

Most factory environments are characterized by increased worker absenteeism arising from post-related injuries resulting in Musculoskeletal Disorders (MSD). This in turn impacts the factory floor, in terms of increased costs arising from unsuitable factory environment, poor productivity and low-quality finished goods. The exoskeleton technology has...

This edition of the Oil and Gas (O&G) Technology Opportunity Engines features information on interactive seismic oil platform, subsea inspection system, pipeline integrity platforms, offshore drilling systems, downhole thermal control, methane leak detection, real-time monitoring of distributed fuel operations, among others.The Oil and Gas TOE prov...

Conventional artificial intelligence (AI)-enabled processors are based on rule-based algorithms and are optimized for applications, such as real-time monitoring and reporting. However, with increasing demand for fully autonomous solutions, there is a need for perceptive solutions capable of making probabilistic decisions, replicating the human brai...

•The demand for data storage technologies stems from the need to efficiently and quickly process large data sets in critical applications such as Big Data, AI, and IoT. Over the years, data storage technologies have evolved on the back of advancements in the components used in storage devices and technologies. •The key factors driving the growth ...

With customers adapting to the post-pandemic normal and preferring to stay at home, brands across the globe are seeking solutions to meet the increased demand for online services. The relatively sudden and significant increase in eCommerce has made it challenging for companies to maintain a workforce for customer assistance. Brands are relying on t...

The overall research objective is to measure the current use and future decision making behavior toward customer contact solutions primarily in the United States with a small sample from other regions. The technologies we covered include: customer journey analytics, elearning, quality monitoring, social media analytics, speech analytics, unified ag...

Across various industrial sectors, digitalization has rapidly developed, utilizing several existing and emerging digital technologies, including AI, Big Data analytics (BDA), IoT, machine learning (ML), natural language processing (NLP), robotics, and automation. While the chemicals industry was relatively slow to adopt these technologies, the tran...