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Generative AI implementation vendors have the expertise to tailor complex AI models and capabilities to specific industry needs, ensuring seamless integration and maximizing the value of generative AI tools. The vendors are essential for businesses that lack in-house AI capabilities or want to accelerate their AI adoption journey. They help clients...

This edition of the IT, Computing and Communication Technology Opportunity Engine showcases 16 emerging technology innovators advancing intelligent automation, cloud-native infrastructure, connected ecosystems, enterprise integration, next-generation networking, and AI-powered digital transformation. The edition highlights innovations spanning smar...

This report examines the transformative potential of Agentic AI to enhance efficiency, personalization, and automation across key service industries from 2025 to 2030. Focusing on 5 high-impact sectors—BFSI, healthcare, manufacturing, retail, and others—it analyzes how AI agents integrate across value chains to drive operational performance, custom...

Generative AI (GenAI) has garnered huge interest and holds great promise for optimizing business operations by automating routine tasks, streamlining workflows, and providing intelligent insights that improve efficiency, quality, and performance. Ongoing innovation in artificial intelligence (AI) has introduced GenAI with far-reaching implicatio...

The artificial intelligence (AI) landscape is undergoing rapid transformation, with enterprises worldwide navigating a complex journey from experimentation to operationalization. The Global State of AI 2025 report delivers a timely, in-depth exploration of how organizations are adopting, deploying, and scaling AI technologies to drive business valu...

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...

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...

AI infrastructure is rapidly evolving from stand-alone compute environments to vertically integrated AI platforms that combine compute, networking, storage, cloud software, orchestration, security, and intelligent data management. Platform-centric architectures are becoming essential to support scalable AI training, inference, and agentic AI worklo...

Artificial intelligence (AI) has the potential to deliver substantial benefits to businesses, economies, and societies. As organizations shift AI technology implementation from the proof-of-concept stage to enterprise deployment, employing an enterprise-wide strategy and roadmap is crucial to prevent project-derailing challenges, cost overruns, an...