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  • Blog
    July 08, 2026

    BT and Verizon have combined their international enterprise operations into a 50:50 Joint Venture (JV). The business brings together US$4 billion in revenue, more than 3,000 customers, operations across 180 countries, and a US$625 million equalization payment…
  • Tech Provider Spotlight
    June 16, 2026

    As enterprises scale AI training and inference workloads, the network is becoming a direct AI infrastructure performance enabler rather than a supporting layer. Traditional cloud and data center fabrics were built for generalized traffic and are…
  • Blog
    June 05, 2026

    A new phase in AI-era enterprise networking  For years, telecom providers focused on connectivity, while hyperscalers controlled cloud platforms, that separation is now fading.    Lumen’s acquisition of Alkira is more than a cloud networking deal; it signals a broader shift in…
  • Voice of the Customer
    May 13, 2026

    Enterprise AI platforms have become foundational for scaling AI from experimentation to production, as organizations increasingly rely on them to manage model development, deployment, governance, and lifecycle operations across AI workloads. As enterprises navigate growing complexity…
  • Viewpoint
    April 27, 2026

    Enterprises pushing deeper into AI adoption are realizing that their current operating environments cannot deliver the scale, speed, and reliability required to support AI-led business models. To move forward with confidence, organizations must rethink operations as…
  • Blog
    Jan. 13, 2026

    For the past two years, enterprise Artificial Intelligence (AI) strategies have revolved around one central question: which model should we use? Larger, faster, and more fluent foundation models, especially Large Language Models (LLMs), became the focal point of experimentation and investment.  That phase is…
  • Tech Launch Perspective
    Dec. 30, 2025

    Cisco’s edge computing infrastructure strategy for AI reflects growing enterprise demand for scalable, secure, and real-time AI deployment at the edge. This report analyzes Cisco’s announcements at the Cisco Partner Summit 2025, emphasizing the company’s Unified…
  • Provider Compendium
    Dec. 24, 2025

    As cloud costs grow more dynamic and AI use proliferates, FinOps is evolving from cost reporting to a broader operating model that blends granular cost/usage analytics with governance and policy management, AI-powered automation, sustainability/carbon tracking, and…
  • Blog
    Dec. 03, 2025

    Telecommunication providers and Global System Integrators (GSIs) are entering a new phase of strategic convergence driven by evolving market dynamics and rapid technology advances. Both types of providers face growing pressures to evolve, and their collaboration is emerging as a key pathway to strengthen competitiveness and unlock new revenue growth opportunities.  Telcos are experiencing sustained margin pressures as connectivity-led business models become…
  • Blog
    Dec. 03, 2025

    According to a recent Everest Group study, 58% of telecom enterprises have not moved their Artificial Intelligence (AI) pilots to production. Why? Most telecom operators are focused on where to implement AI, but leading AI adopters show that true success lies in how to implement AI.   But…
  • Blog
    Nov. 25, 2025

    Artificial Intelligence (AI) is shifting from tools that predict to agents that act. That change doesn’t simply add new software to the stack; it rewires how decisions get made, how work flows across teams, and how value is created.   In that world, the Chief Information…
  • LinkedIn Live
    Nov. 19, 2025

    In an evolving landscape where analyst relations (AR) shape market perception and business success, leaders continued to look for proven tactics embraced by experienced AR professionals. Everest Group’s Katrina Menzigian, along with industry experts from other…
  • PEAK Matrix®
    Nov. 13, 2025

    As cloud costs grow more dynamic and AI use proliferates, FinOps is evolving from cost reporting to a broader operating model that blends granular cost/usage analytics with governance and policy management, AI-powered automation, sustainability/carbon tracking, and…
  • Blog
    Nov. 10, 2025

    Why traditional observability is breaking down:   Enterprises today are generating more telemetry than ever, often analyzing over a trillion metrics a day across millions of devices. Yet, despite this data abundance, less than 25% of the enterprises report full-stack observability, and most of them struggle to stitch together insights across…
  • LinkedIn Live
    Nov. 03, 2025

    As data ecosystems became increasingly complex—with the proliferation of Gen AI and agentic AI implementations—enterprises required real-time visibility into data health, flow, cost, and compliance. Data observability emerged as a strategic layer of trust across digital,…
  • Innovation Watch
    Oct. 31, 2025

    Enterprises are increasingly facing RoI scrutiny, talent gaps, and increased operational risks from AI and have shifted expectations from traditional monitoring offering passive dashboards to faster detection, diagnosis, and resolution. AI-powered observability moves beyond legacy monitoring…
  • Aug. 20, 2025

    IT Investments View the full report
  • State of the Market
    Aug. 05, 2025

    The global IT services for telecom market is growing slowly, driven by macroeconomic headwinds, regulatory complexities, market saturation, and an increasingly complex cyber-risk landscape. Despite these challenges, telecom enterprises are ramping up investments in AI-enabled operations,…
  • LinkedIn Live
    July 24, 2025

    Watch on LinkedIn Global Capability Centers (GCCs) in India rapidly evolved from cost-efficient service hubs to strategic centers of innovation, product development, and digital transformation for global enterprises. As this evolution accelerated, talent development became a…
  • Tech Launch Perspective
    June 26, 2025

    As enterprise AI adoption accelerates, organizations are ramping up investments in infrastructure capable of supporting a broad spectrum of AI workloads, from training to inference, across data center, cloud, and edge environments. AI is fueling demand…

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