Search results for: 'artificial intelligence and cloud computing'

The demand for chips has experienced exponential growth in recent decades. Presently, the importance of these key hardware components is even higher due to increasing workload demands from innovations like generative artificial intelligence (AI) and machine learning (ML), which are also driving up energy consumption and costs. However, pandemic-ind...

Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing enab...

This edition of IT, Computing and Communications (ITCC) Technology Opportunity Engine (TOE) highlights breakthrough innovations across conversational AI, multimodal intelligence, edge computing, wearable tech, spatial analytics, and enterprise AI platforms. Notable developments include AI-powered multi-agent orchestration for enterprise workflows, ...

The contact center industry benefitted greatly from COVID-19 pandemic market dynamics, which shifted millions of agents to work-at-home (WAH) models and accelerated cloud contact center-as-a-service (CCaaS) adoption. In 2021 and 2022, investments soared, and 2023 is the aftermath of that shift. Greater macroeconomic factors loom large over this...

In Latin America, businesses are increasingly adopting cloud computing, artificial intelligence (AI), and machine learning technologies to support their strategic growth. Digital transformation remains strong, with the cloud solidifying its role as a cornerstone of innovation and efficiency across various industries and critical business segments i...

Frost & Sullivan's annual survey of IT and business decision-makers, now in its 15th year, aims to understand their perceptions, decisions, and purchasing behaviors. In 2024, Frost & Sullivan introduced a new set of questions focused on multi-access edge computing (MEC) to the yearly survey. The survey aims to understand respondents’ evolving organ...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

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 healthcare cloud market is undergoing rapid transformation, driven by strategic imperatives that will redefine industry dynamics in 2026. Frost & Sullivan’s analysis identifies 10 critical shifts shaping this evolution, anchored in technological innovation, regulatory compliance, and operational resilience. Cloud adoption is no longer limited t...