Search results for: 'analyst perspectives on agentic ai'

The human resources function faces significant disruption as artificial intelligence (AI) technologies mature. While the chief human resources officer organization has been adopting digital technologies to drive greater integration, automate processes, and improve workflows, Generative AI (GenAI) now offers the potential to create a transformative ...

This report examines the transformation of the Customer Experience (CX) Management and Business Process Outsourcing (BPO) industry as artificial intelligence (AI), automation, and evolving enterprise expectations re-shape traditional service delivery models. Drawing on insights from Frost & Sullivan analysts Sebastian Menutti, Sherrel Roche, and Kr...

This analysis examines the AI applications reshaping the automotive aftermarket ecosystem, exploring key adoption areas, regional dynamics, emerging use cases, and AI-driven investments driving change in operations and business models. Structured into six core segments, the report focuses on major value chain streams: Remote and On-Bay Diagnostics ...

As enterprise adoption of AI enters a more demanding phase, the source of competitive advantage is shifting. In 2026, success is no longer determined by access to advanced models or the scale of experimentation, but by an organization’s ability to operationalize AI reliably within core workflows. This report examines how AI applications and use cas...

This edition of the Cyber Security Technology Opportunity Engine (TOE) explores AI Data Governance and Real-Time AI Interaction Monitoring enable secure LLM adoption, while Human Risk Management and Real-Time Risk Detection deliver contextual behavioral interventions. Web Exposure Management and Continuous Web Exposure Discovery provide agentless c...

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...

Frost & Sullivan s 2024 information technology decision-maker (ITDM) survey was conducted to gain insights on the following end-user organizations priorities: Top technical challenges for IT/telecom departments Top non-technical challenges for IT/telecom departments Current unified communications and collaboration (UCC) technology a...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

The global market for agentic orchestration platforms is entering a pivotal phase of transformation as enterprises shift from isolated artificial intelligence (AI) experimentation to production-scale deployment. This study examines how organizations are moving beyond pilot initiatives toward embedding agentic systems into enterprise workflows, rede...