Search results for: 'Analyst Perspective on Agentic AI'

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...

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...

As artificial intelligence moves from experimentation into the operational core of the enterprise, the demands placed on implementation and managed service providers are changing fundamentally. Early AI success was defined by proof points: models deployed, pilots completed, productivity gains demonstrated. Today, success is defined by durability: t...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Air Taxi, Electric Vehicles, Autonomous Mobility, Radar and Diesel Engines. Some of the innovations profiled include Autonomous Electric Air Taxi for Urban Air Mobility, Advanced 3D Mapping and Object Detection System for Autonomous Vehicles, Intelligent Operating Sys...

Incorporating AI into mobile operator business operations offers clear advantages—automation, customer-centric services, and operational efficiency. However, these benefits come with challenges, including high implementation costs and data security risks. Strong support from C-level executives and boards can help operators overcome these obstacles....