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  • NEW
    Viewpoint

    July 09, 2025
    Generative AI has moved from an experimental tool to a core enterprise engine, unlocking business value across the entire IT stack. Yet every new parameter-rich model brings a heavy sustainability price tag: soaring electricity draw, intensified cooling loads, and water usage that stretches local resources. The very clouds that promise digital transformation risk casting a shadow over global net-zero goals. In this Viewpoint, Everest Group unpacks the contradiction. We trace how exponential AI workloads are stress-testing hyperscalers’ original green growth pledges, such as 100 percent renewable energy, water-positive campuses, circular hardware, placing these commitments at a pivotal phase of execution and accountability. Beyond this, this Viewpoint focuses on future opportunities. Hyperscalers, based on their scale and influence, hold immense power to reset ambitions and raise the bar for sustainable growth. We examine how hyperscalers are already investing in next-generation technologies that can improve energy and resource efficiency, as well as how they can do more in the future. Ultimately, this Viewpoint offers a forward-thinking playbook for technology providers and enterprises navigating the intersection of AI and sustainability. By turning intent into impact, hyperscalers, their ecosystems, and enterprises can work together to drive responsible innovation that not only meets the moment but defines the next era of cloud leadership.
  • FEATURED
    Viewpoint

    June 27, 2025
    Gen AI is transforming how SOCs detect, respond to, and manage cyber threats. It enables automating repetitive tasks such as log analysis, alert triage, and incident investigation – freeing analysts to focus on strategic threat hunting and decision-making. Integrated effectively, gen AI enhances operational efficiency, reduces mean time to respond, and supports real-time risk profiling. This Viewpoint explores how gen AI fits across SOC architecture layers – from data collection and processing to analytics and incident response. It highlights real-world use cases, including AI-generated threat summaries, vulnerability detection through SAST/SCA automation, and intelligent response orchestration. Gen AI is also essential in workforce development, helping junior analysts upskill through guided workflows and natural language-based interfaces. While the benefits are compelling, organizations must navigate risks such as rising implementation costs, expanded attack surfaces, governance complexities, and the potential erosion of analyst skill development. Planning, budgeting, and responsibly integrating gen AI are key to realizing its full value. A structured SMART-G framework defined in this Viewpoint can guide enterprises through strategic alignment, infrastructure readiness, model optimization, workforce training, and governance. The result is a future-ready SOC – resilient, scalable, and built for a rapidly evolving threat landscape.
  • Viewpoint

    June 27, 2025
    US health insurance carriers face escalating pressures, from soaring costs and workforce shortages to rising member expectations and complex compliance demands. In this environment, traditional administrative processes and outdated systems are proving inadequate. To address these challenges, health plans are embracing next-generation Business-Process-as-a-Service (BPaaS) as a strategic transformation enabler. Unlike earlier models, next-generation BPaaS integrates cloud-based platforms, generative and agentic AI, digital twins, and robust data strategies into unified, scalable service ecosystems. This report explores how next-generation BPaaS helps healthcare payers drive outcomes such as higher auto-adjudication, reduced total cost of ownership, improved regulatory readiness, and enhanced member experiences. It also introduces a 4D transition framework – Discover, Decide, Drive, and Deepen – to guide payers through readiness assessment, provider selection, and continuous optimization. With intelligent platforms, multi-shore delivery, and AI-led decision-making at the core, next-generation BPaaS is enabling health plans to shift from transactional efficiency to strategic transformation.
  • Provider Compendium

    June 25, 2025
    As enterprises embrace hybrid work and respond to the evolving expectations of multigenerational workforces, rethinking digital workplace strategies has become a strategic priority. Microsoft modern work solutions, such as Microsoft Teams and other Microsoft 365 applications, are central to this evolution, enabling improved collaboration, productivity, and employee engagement. With broad global adoption, the Microsoft modern work ecosystem has become the default choice for many organizations, supported by providers offering comprehensive consulting, development, deployment, and managed services. While adoption remains strong, ongoing economic challenges and shifting enterprise priorities are prompting a sharper focus on cost efficiency. In response, providers are deepening their strategic alignment with Microsoft, cocreating industry-specific solutions, and delivering future-ready architectures. In this report, we assess 20 Microsoft modern work providers. Each profile offers a comprehensive picture of the provider’s vision and strategy, scope of services offered, Microsoft modern work offerings, innovation and investments, partner networks, and strengths and limitations.
  • Tech Launch Perspective

    June 25, 2025
    At SAP Sapphire 2025, SAP reinforced its ambition to lead in enterprise AI by unveiling a range of innovations under its Business AI umbrella. Key announcements include the launch of AI Foundation, positioned as the operating system for SAP’s AI strategy, enabling simplified operations, innovation acceleration, and democratized access to predictive capabilities. Expanding Joule into an omnipresent AI assistant, accessible across SAP and third-party applications, marks SAP’s move toward ambient, context-aware AI. By introducing AI Agent Hub and cross-system Joule agents, SAP is evolving toward agentic automation that spans business silos. Business Data Cloud underpins these capabilities by unifying SAP and non-SAP data to enable real-time insight and orchestration. Introducing modular business suite-as-a-service packages further supports composability and easier adoption.
  • FEATURED
    Innovation Watch

    June 12, 2025
    Generative AI is fundamentally shifting how software is developed and maintained. What began as discrete copilots for code suggestions has evolved into a more mature and integrated layer of AI-powered software engineering. Generative AI is now embedded across the entire development value chain – from requirement gathering and prototyping to code generation, testing, documentation, and deployment – reshaping development workflows and enabling asynchronous, agent-assisted collaboration. As enterprises move from experimentation to execution, generative AI solutions are expanding from point tools to full-stack development platforms, offering intelligent support for decision-making, team collaboration, and engineering governance. Increased investments in contextual intelligence, orchestration, explainability, and secure AI integration are driving this shift. In this report, Everest Group assesses 21 leading generative AI solution providers across four segments: Luminaries, Fast Followers, Influencers, and Seekers, based on their market performance and ecosystem positioning. The report provides insights into how these providers are enabling practical value, improving software delivery speed, and redefining developer experiences in the age of generative AI. Scope Geography: global Industries: all industries adopting software development practices Focus: generative AI solutions in software development, covering providers of copilots, intelligent agents, development platforms, and contextual coding tools Contents In this report, we: Position 21 technology providers offering gen AI products for software development on Everest Group’s Innovation Watch Assessment framework Assess the providers’ gen AI capabilities for software development Examine key business challenges and gen AI’s role in overcoming them
  • Viewpoint

    May 23, 2025
    Despite the global economic downturn, enterprises continue to embrace AI, with generative AI demonstrating strong workplace transformation potential. Segments such as service desks and unified communication and collaboration have significantly advanced, leading to enterprises achieving notable IT and business benefits through its adoption. This report examines generative AI adoption’s current landscape across various workplace segments, its impact on both enterprise needs and employee challenges, and the anticipated transformations within these areas. We further address pilot fatigue associated with generative AI implementation and outline key success factors for effective deployment. In conclusion, we emphasize workplace leadership’s key role in this transformation, offering insights on how leaders can actively engage in decision-making and advocate the cause of employee experience with respect to generative AI initiatives to optimize its advantages within the workplace. Scope Industry: All industries and geographies Contents In this report, In this report, we explore: Generative AI adoption’s current level and its future transformation Key enterprise considerations Key success factors for generative AI adoption Key considerations for workplace leadership in the future
  • Viewpoint

    April 30, 2025
    In today’s rapidly evolving digital landscape, vector databases are emerging as a key enabler for enterprises looking to harness the potential of unstructured data, particularly in the realm of agentic AI. As organizations generate vast amounts of unstructured data, traditional databases struggle to process and query this information effectively. Vector databases provide a solution by representing data as high-dimensional vectors, allowing for more efficient search, retrieval, and analysis. This report explores vector databases’ role in the modern AI ecosystem, examining their impact on unstructured data management, their comparison with traditional databases, and their growing adoption across industries. It highlights their importance in powering AI-driven applications such as personalization, recommendation systems, and vector search. The report also discusses the challenges enterprises face in adopting these technologies, the evolving supplier landscape, and the future of vector databases as they continue to be essential in digital transformation. Scope All industries and geographies Contents In this report, we examine: Vector databases against traditional databases Their role in generative AI implementations Their current adoption and supplier landscape The adoption challenges enterprises face Emerging trends in the vector database management system market The way forward with vectors
  • Innovation Watch

    April 29, 2025
    Financial Crime and Compliance (FCC) has become increasingly complex as financial institutions face growing regulatory scrutiny, sophisticated fraud schemes, and rising expectations for better customer experiences. Generative AI presents a compelling opportunity to transform FCC operations. It streamlines labor-intensive processes, enhances investigative accuracy, and reveals hidden insights. From real-time anomaly detection to faster due diligence and enriched case management, its potential to reshape the FCC value chain is significant. This report assesses the generative AI landscape for FCC. It examines key use cases across the FCC lifecycle, including dynamic screening, entity resolution, Fraud and AML (FRAML) monitoring, and anomaly detection. The report also evaluates how providers are developing solutions across the FCC lifecycle to deliver innovation. It evaluates 12 technology providers using Everest Group’s Innovation Watch Assessment framework, categorizing them as Luminaries, Fast Followers, Influencers, and Seekers. The report delivers insights into emerging provider solutions, their core capabilities, and the business challenges they address, equipping enterprises with a clear view of the evolving FCC technology landscape. Scope Industry: Banking and Financial Services (BFS) Geography: global Service: generative AI technology solutions under the FCC function Contents In this report, we Assess 12 FCC technology providers Position the providers on the Everest Group’s Innovation Watch Assessment framework as Luminaries, Fast Followers, Influencers, and Seekers Highlight providers’ capabilities and investments
  • Webinar

    March 04, 2025
    In 2024, the AI ecosystem advanced significantly across hardware, language models, and applications. Yet, fully scaled generative AI initiatives remain a challenge as organizations face budget constraints, legacy data issues, and other barriers. In this webinar, our experts explored how generative AI adoption is evolving across industries, examined the impact of emerging AI regulations, highlighted innovations across the AI value chain, and discussed the shifting technology ecosystem. Attendees gained actionable insights to plan their 2025 AI deployments. What questions did the webinar answer? What is driving interest in generative AI now? How is the AI ecosystem evolving across industries? What role will emerging AI regulations play in shaping the AI landscape? What are the key themes and innovations expected to impact generative AI in 2025?