Search results for: 'intelligence at time outlook on edge computing 2014'

Artificial intelligence (AI) uses algorithms and large data sets to find underlying relationships and drive improved business outcomes. While still a nascent technology, AI is experiencing increased implementation and adoption across industries to innovate business models, drive operational efficiencies, and create strategic differentiation. Global...

This study focuses on the global edge analytics software market. Edge analytics solutions utilize devices such as routers, sensors, integrated access devices (IADs), and multiplexers to sift through and rank large amounts of data. Edge analytics software analyzes data on the device, reduces latency, eliminates the need for large amounts of data tra...

Intelligence- and data-driven decision-making have quickly emerged as core competencies that drive an organization s security strategies to safeguard the people, assets, and data for which they are responsible. Ongoing convergence between physical and digital security systems, the influx of new analytics to inform operational decisions, and digital...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores growth opportunities across Quantum Computing Systems, AI Cloud Platforms, Orbital Data Centers, Sovereign AI, Multimodal AI Agents, AI-powered Event Platforms, Cloud Infrastructure Platforms, Field Foundation Models, and Legal and Professional Services Workf...

Real-time location solutions (RTLS) provide accurate information on the location of materials, goods, assets, persons, or vehicles. The system includes tags, readers, and a software solution. This study covers different RTLS technologies that assets send radio signals to, such as wireless fidelity (Wi-Fi), RFID, ultra-wideband (UWB), Bluetooth Low ...

This edition of the IT, Computing and Communication Technology Opportunity Engine explores emerging growth prospects in AI-driven spatial intelligence, automated 3D intelligence, agentic observability, end-to-end agentic observability, unified API & AI gateway, API and AI connectivity platform, global GPU cloud, global cloud infrastructure, and tai...

The global push toward digitalization has expanded attack surfaces and heightened IT risks. Today, threat actors launch multi- vector attacks on organizations, targeting internal networks and external digital assets. As organizations ramp up cybersecurity spending and tools to mitigate these risks, the efficacy of these measures depends on timely i...

The need to adopt threat intelligence (TI) has transcended compliance requirements it is now essential due to the evolving threat landscape. Organizations must integrate TI into their IT frameworks to operate effectively. Global digitalization initiatives such as cloud migration, IoT, AI, and remote work have expanded attack surfaces, IT complexity...

The edge AI accelerator market is scaling rapidly as industries demand low-latency, privacy-aware intelligence for autonomous vehicles, industrial automation, smart cameras, robotics, and other applications. Cloud-based inference faces more limits from bandwidth, latency, and data sovereignty concerns, creating a strong pull for on-device AI proces...