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Edge computing refers to moving data processing and computing as close to the data source/ point of origination as feasible, enabling near-real-time decisions and insights to drive better outcomes. The goal is to reduce latency while still ensuring high efficiency of networks, operations, service delivery, and user experience. Edge computing all...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Augmented Reality, Artificial Intelligence, Generative AI, Edge AI. These technologies empower users to employ various input methods, enhancing accessibility and convenience. This adaptability enables clients to easily adjust...

23 Jun 2020  |  North America  |  Market Research

Global Healthcare Interoperability Market, 2019–2024

Data Interoperability is Key to Establish Connected Care

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Background: Interoperability refers to the ability to exchange data among applications. In healthcare, this generally means the ability to share data between electronic health record (EHR) systems and other health IT applications such as clinical decision support (CDS), computerized physician order entry (CPOE) systems, and other systems in use in ...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) captures developments related to Artificial intelligence, Augmented Reality, Virtual Reality, Generative AI, Machine Learning Models, and Robotics Process Automation. These technologies empower users to devote their efforts to higher-value activities by auto...

Serverless capabilities simplify and streamline enterprises’ ability to develop and deploy cloud applications. In serverless architecture, code is deployed on a server when needed without requiring a technician to allocate or manage the server capacity. Serverless computing helps developers move from developing monolithic applications to lightweigh...

The escalating compute and power demands of edge AI are exposing the limits of conventional von Neumann architectures. Manufacturers deploying always-on sensing, real-time inference, and autonomous decision-making at the edge are constrained by the energy, latency, and memory-bandwidth ceilings of standard NPUs and MCUs. Traditionally, edge AI work...

This issue of the Nanotechnology Opportunity Engine profiles significant advancements in nanotechnology for various enhanced industrial applications. The featured innovations include Nonencapsulated Retinol for Better Bioavailability and Stability in Cosmetics, Ultrafine Bubbles for Sustained Nutrient Delivery in High Performance Applications, Impr...

Transformative business solutions and customer-centric business models are compressing the value chain. Vertical integration is causing value chain dynamics to change, with new entrants offering end-to-end solutions across the upstream and the downstream stages. The value chain will move from the current product-centric model to consumer-centric da...

Traditional cloud computing models sends data from the device to the cloud for data analysis and the decision is sent back to the device for implementation. The agility of cloud computing is great but not enough to overcome certain challenges such as latency, bandwidth, processing the data for real-time decision making, costs associated with data t...