Showing 95 results
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July 17, 2025In today’s dynamic innovation landscape, Research, Development, and Innovation (RD&I) teams face the dual challenge of accelerating time-to-market while operating under strict budgets. Traditional portfolio management approaches rely on manual processes and fragmented data, often resulting in delayed, misaligned, or suboptimal decisions. Systems of Execution (SoE) represent a transformative approach to pipeline and portfolio prioritization. By leveraging agentic AI for contextual decision-making, automating execution workflows, and enabling real-time data integration across systems, SoE close the gap between insight and action. This Viewpoint presents a four-pillar framework covering AI orchestration, process automation, data architecture, and governance readiness. The result: improved resource allocation, better alignment with strategic goals, faster portfolio responsiveness to market shifts, and minimized costly missteps. With providers accelerating SoE deployments, RD&I leaders have an opportunity to rethink prioritization at an enterprise scale.
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NEWWebinar
Webinar Deck: Agentic AI: from Buzz to Business
July 16, 2025Agentic AI is fast becoming the most talked-about breakthrough in enterprise technology, promising transformative outcomes across cost, efficiency, and revenue generation. Yet as organizations explore its potential, they also face rising uncertainty around trust, data governance, ROI, and a rapidly evolving vendor ecosystem. Watch Everest Group experts Chirajeet Sengupta and Anil Vijayan as they unpack the current state of agentic AI adoption, the pressing considerations for enterprises, and what the road ahead may look like. This session offered insights into where agentic AI is delivering value, how leaders are managing key risks, and what changes we can expect in the next 2–5 years. Whether you’re an enterprise executive or a technology provider, this is your chance to separate signal from noise and understand the trajectory of this powerful innovation. -
July 03, 2025Procurement leaders are navigating an increasingly complex landscape, marked by heightened demands for cost efficiency, sustainability, and risk mitigation. Traditional automation tools are no longer sufficient to meet these challenges. Enter Agentic AI – a transformative technology characterized by autonomous decision-making capabilities that can revolutionize procurement processes. In this webinar, our experts Bhanushee Malhotra, Prateek Singh, and Amit Lad delved into the concept of Agentic AI within procurement. This webinar explored the technological landscape, functionalities, and transformative impact of Agentic AI across various procurement processes. Attendees gained clarity on Agentic AI’s role, potential benefits, and key considerations for successful implementation. What questions did the webinar answer for the participants? What is Agentic AI, and how does it differ from traditional procurement automation tools? Which procurement processes are most suitable for Agentic AI adoption? What are the various Agentic AI use cases currently offered by procurement technology providers? What are the essential functionalities and capabilities to look for in AI agents within procurement solutions?
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June 24, 2025As enterprises embed LLMs into customer service, decision support, and content generation workflows, a new realization is emerging: success depends not just on the model’s intelligence, but on its ability to understand context. This shift makes model contextualization a strategic priority, defining how LLMs interpret user inputs, apply external knowledge, and generate responses that are grounded, trustworthy, and ready for action. This Viewpoint traces the evolution of contextualization techniques – from static, training-time fine-tuning to dynamic, real-time techniques such as prompt engineering and retrieval-augmented generation. It explains the growing relevance of long-context window models, which allow richer reasoning by holding more information in memory, and highlights the rise of protocol-based contextualization, including Anthropic’s Model Contextualization Protocol (MCP), IBM’s Agent Communication Protocol (ACP), and Google’s Agent-to-Agent (A2A), which enable persistent, interaction-aware agent ecosystems. The report breaks down contextualization strategies and their trade-offs across latency, costs, and reasoning depth, and maps each approach to its ideal use case. Enterprises can use it to design context-aware LLM workflows that reduce hallucinations, improve response quality, and adapt in real time, paving the way for more dependable and intelligent AI systems.
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May 28, 2025AI, including generative AI, has moved beyond being an emerging technology confined to experimentation to being integral to enterprise strategies. Across industries, organizations are experiencing measurable gains from pilot projects in areas such as productivity improvement. The next logical step is to scale these initiatives from pilot stages to full-scale production to unlock their transformative potential. However, transitioning from pilot to production is a complex journey that demands addressing various challenges and adopting success factors. Enterprises must tackle essential aspects such as defining an enterprise-wide AI strategy, prioritizing AI use cases, establishing an effective AI operating model, ensuring data readiness, building AI talent, implementing a scalable AI technology stack, and integrating responsible AI practices. Success in scaling AI depends on clearly understanding these factors, avoiding common pitfalls, and adopting best practices. Scope All industries and geographies Contents In this report, we delve into the essential aspects of scaling AI, providing insights into: AI and generative AI’s strategic importance Key business drivers behind AI adoption The current state of AI and generative AI adoption The success factors to scale AI from pilot to production Common pitfalls to avoid while scaling AI initiatives Future trends and outlook in AI
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Tech Launch Perspective
Artificial Intelligence (AI): Review of IBM’s Product Announcements at Think 2025
May 27, 2025The AI market continues to grow rapidly, fueled by advancements in foundation models and increasing enterprise demand for scalable, domain-specific AI solutions. Organizations are prioritizing AI to drive automation, improve decision-making, and modernize operations across hybrid environments. IBM remains a key player in the AI space, with its Think 2025 announcements reinforcing a focus on modular, enterprise-grade AI through platforms such as watsonx, open-source Granite models, and agentic automation tools. New product updates highlight IBM’s efforts to deliver flexible deployment, secure infrastructure, and orchestration of gen AI at scale. In this report, we examine IBM’s latest announcements from Think 2025, identifying growth opportunities, enterprise challenges, and the company’s competitive positioning. The report further delves into IBM’s key offerings, major differentiators, and areas where additional refinements could enhance its value proposition. Scope All industries and geographies The assessment is based on Everest Group’s participation in, and monitoring of announcements made at the IBM Think 2025 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for AI IBM’s current positioning in the AI market Announcements from IBM Think 2025 -
Tech Vendor Spotlight
Tech Vendor Spotlight: Balancing Innovation and Responsibility through AI Governance
May 27, 2025In an era marked by rapid generative AI adoption, AI governance is emerging as an essential safeguard for enterprises striving to balance innovation with responsibility. As AI systems become more autonomous and complex, bias risks, obscurity, regulatory noncompliance, and ethical misuse grow substantially. AI governance provides a structured framework to mitigate these challenges by embedding explainability, accountability, privacy, fairness, and security into AI-driven decision-making. This report examines AI governance’s growing importance in the enterprise landscape, analyzing its evolution from data governance to formal regulatory frameworks. It highlights how AI governance solutions offered as integrated platforms help organizations ensure compliance, reduce risk, and foster trust in AI systems. The report also assesses 16 key providers in the AI governance space and explores the emerging trends, including regulatory convergence, AI governance as a service, and the rise of specialized AI oversight roles, shaping the future of responsible AI deployment. Scope All industries and geographies Contents In this report, we examine: AI governance Key evolving trends and imperatives shaping the industry Key business challenges in AI systems’ implementation AI governance as a solution to address business challenges AI governance evolution AI governance solutions’ core components Important considerations when selecting AI governance providers Key AI governance providers -
May 14, 2025Enterprises across North America are advancing their data and AI strategies while grappling with infrastructure, governance, and talent-related challenges. As generative AI adoption gains momentum, organizations focus on scalable, business-aligned solutions that deliver measurable impact. To navigate this evolving landscape, they are turning to specialist service providers with deep domain expertise and advanced AI capabilities. In response, providers are strengthening their offerings through investments in generative AI, cloud-based AI platforms, and industry-specific accelerators. In this report, we evaluate 32 providers featured on Everest Group’s Data and AI Services Specialists – North America PEAK Matrix® Assessment 2025.
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May 13, 2025Led by Everest Group experts Chirajeet (CJ) Sengupta, Managing Partner, and Abhishek Singh, Partner, this forward-looking webinar explored how Systems of Execution (SoE)—powered by generative and agentic AI—are set to disrupt the traditional software industry and redefine how software delivers value to customers. Watch this insightful session as we examined why the software market is at an inflection point, and what it takes for product companies to adapt and lead in this next wave of disruption. Attendees came away with a deep understanding of the SoE opportunity, what it means for product development and go-to-market models, and how to create competitive advantage in a rapidly changing landscape. With AI reshaping customer expectations and the value delivered by software, this is a generational opportunity for product companies to reimagine their strategies, products, and positioning to drive long-term impact. What questions did the webinar answer for the participants? What will generative and agentic AI do to the software industry? What are Systems of Execution, and why should you care? What is the market opportunity for SoE? How can you prepare for a world shaped by SoE? What does it take to succeed in a Systems of Execution environment?
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Provider Compendium
Data and AI (D&AI) Services for Mid-Market Enterprises – Provider Compendium 2025
April 14, 2025Enterprises are increasingly identifying gaps in their data ecosystems as they seek to harness generative AI’s full potential. To address these gaps, businesses are prioritizing their data strategy to build AI-ready data ecosystems. AI advances have amplified the importance of robust data management and governance. When scaling their AI initiatives, they are realizing the value of trustworthy data to ensure quality, consistency, and security. The focus has shifted to realizing value, with enterprises aiming to drive tangible business outcomes from their data initiatives. Enterprises demand their data strategies to deliver measurable business outcomes, leading to productivity gains, operational efficiencies, and unlocking new revenue streams. Data initiatives are now vital investments that directly contribute to building a competitive advantage in the market. This compendium provides detailed profiles of 31 service providers to assist D&AI service buyers in selecting providers that can serve their needs. The report helps enterprises choose the best-fit provider based on their sourcing considerations and empowers providers to benchmark their performance against their peers. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2024, interactions with leading D&AI providers, client reference checks, and an ongoing analysis of the D&AI services market Contents In this report, we: Examine the D&AI services market Classifies providers into Leaders, Major Contenders, and Aspirants on a capability-market-impact matrix Assess providers’ key solutions, delivery centers, investments, and use cases Lending operations technology solutions/tools: brief descriptions of key technology solutions