Search results for: 'preparing for the d7a9 native of generative ai'

About 89% of IT and business decision makers that Frost & Sullivan surveyed in late 2023 believe artificial intelligence and machine learning are crucial, very important, or important in achieving business goals revolving around increasing operational efficiency, supporting innovation, and improving customer experience. An equal percentage of respo...

In an evolving digital landscape, artificial intelligence (AI) is emerging as a preeminent force poised to reshape traditional job functions, operational processes, and business models. Cross-industry enterprises embrace innovative multimodal AI tools, solutions, and platforms to augment business growth, optimize operations, create strategic differ...

Artificial intelligence subset generative AI (GenAI) refers to technologies capable of creating new content, such as text, images, code, audio, and video, by learning from existing data and models. For telecommunications service providers (telcos), GenAI presents transformative opportunities beyond network optimization and customer support. By depl...

Agentic AI is redefining the enterprise AI landscape by moving beyond traditional and generative models toward autonomous systems that can reason, plan, and act across complex workflows. Enterprises are increasingly moving from experimentation to production-grade AI deployments, embedding agents within workflows, customer journeys, and IT operation...

11 Sep 2026  |  Global  |  Market Research

Growth Impact of AI on the Communication Test Equipment Market, 2025–2030

Use of AI for Diagnostics and Predictive Analytics is Driving Transformational Growth

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Artificial intelligence (AI) is reshaping the global communication test equipment market by transforming product development, enabling intelligent and automated testing, and driving demand through next-generation communication infrastructure. This Frost & Sullivan analysis examines AI's impact across the communication test equipment value chain, fr...

20 Sep 2023  |  Global  |  Technology Research

Edge AI Accelerators—Emerging Opportunity Analysis

Expanding IoT Applications Drive Growth

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Specialized edge AI hardware that enables quick deep learning on-device has become essential due to the rising need for real-time deep learning workloads. Additionally, a cloud-based AI method cannot ensure data privacy, low latency, or offer high bandwidth. As a result, many AI workloads are shifting to the edge, increasing the demand for speciali...

More than 4 billion people lack water for at least 1 month every year. Furthermore, it is estimated that by 2025, half the world´s population could potentially face water scarcity. Factors driving an increase in water scarcity include climate change, climate-related catastrophes, ground water contamination through the increasing usage of pesticides...

This research report frames artificial intelligence (AI) not as an incremental feature but as a paradigm shift in unified communications (UC), redefining how enterprises connect, coordinate, and get work done. For decades, UC platforms have acted as passive conduits—carrying calls, messages, and meetings between people. The emerging generation of A...

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...