AI is transforming the corporate landscape, offering unprecedented opportunities for innovation and growth. With the rise of generative AI, enterprises are compelled to enhance their AI strategy investments to achieve business objectives and enhance client satisfaction. However, many organizations struggle to fully leverage AI’s potential, often deploying it in isolated instances rather than integrating it across their operations. This underscores the need for a strategic AI implementation approach. Amid this landscape, AI providers with extensive capabilities, domain expertise, and innovative solutions play a vital role in guiding enterprises through the evolving AI landscape. They assist in translating pilot projects and proofs of concepts into successful implementations. This compendium provides detailed profiles of 26 AI services providers featured on Everest Group’s AI Services PEAK Matrix&® 2023 and highlights providers’ key strengths and limitations. This report will help enterprises choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against their peers. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading AI service providers, client reference checks, and an ongoing analysis of the AI services market Contents This report features detailed assessments, including profile overview, key solutions, investments, and case studies of 26 providers that focus on AI services providers. Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management

Generative AI, a new form of AI, is revolutionizing data generation with its ability to create realistic content, mirroring human creativity. Beyond its foundational role, generative AI significantly drives creative workflows, enhances content creation, and accelerates innovation within enterprises. In a short span of time, generative AI has undergone remarkable development, with rapid advances enhancing its versatility and efficiency. Solution providers are refining their offerings to provide improved capabilities, features, and functionalities in response to and anticipating market demand. The rapidly expanding potential of this technology has compelled businesses to explore and use it to gain a competitive edge in today’s fast-evolving technological landscape. In this compendium, we provide a snapshot of the generative AI offerings and capabilities of solution providers. The report presents detailed profiles of 24 eminent generative AI solution providers. It will assist generative AI buyers to select providers that can best serve their needs and allow solution providers to compare their offerings and capabilities with other providers in the marketplace. Scope All industries and geographies Contents This report features 24 provider profiles and includes: Company overview Market adoption and partnership ecosystem Recent deals and announcements Key generative AI solution(s) in the portfolio of offerings Key industries and business functions Solution capabilities and offerings Case studies Membership(s) Artificial Intelligence (AI) Service Optimization Technologies (SOT) Sourcing and Vendor Management

Rapid advances in AI, bolstered by recent developments in generative AI, are prompting organizations to invest in targeted AI initiatives to achieve business-oriented outcomes. Despite these developments, organizations are unable to fully capitalize on the potential benefits due to fragmented deployments across isolated departments. Providers with extensive AI capabilities, domain expertise, and a portfolio of innovative solutions can serve as invaluable partners that guide enterprises through the evolving AI ecosystem and translate pilot projects and Proofs of Concepts (PoCs) into successful implementations. In this report, we analyze 26 AI service providers featured on Everest Group’s AI Services PEAK Matrix® 2023 and highlight the strengths and limitations of each provider. The study will enable buyers to choose the best-fit provider based on their sourcing considerations, while providers will be able to benchmark their performance against each other. Scope All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading AI service providers, client reference checks, and an ongoing analysis of the AI services market Contents In this report, we: AI service provider landscape AI services PEAK Matrix® characteristics Enterprise sourcing considerations Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management

Gen AI has evolved manifold in the past few months and found applications across industries and business functions. Its content creation capability helps improve the performance of existing models, personalize experiences, simulate complex systems, and automate tasks, eventually transforming the way processes and tasks are carried out. It is a powerful tool that will reshape how businesses work, interact, and innovate in the digital age, unlocking new possibilities and opportunities across diverse sectors. An entire ecosystem has developed around this technology, and this is the right time for enterprises to understand it fully to maximize value. This research provides enterprises a detailed view of the gen AI market and analyzes it across dimensions including key industries and business functions impacted, solution characteristics, recent trends, technology provider landscape, risks, best practices, adoption, and outlook. Scope All industries and geographies Contents We examine the following topics in this report: Expected impact of gen AI Solution characteristics and technology ecosystem Technology provider landscape Risks and solutions Adoption framework for enterprises Outlook for 2023-24 Membership(s) Artificial Intelligence (AI) Service Optimization Technologies (SOT) Sourcing and Vendor Management

There is an increasing urgency among enterprises to explore the potential benefits of generative AI and leverage it to stay ahead of the curve. However, with all its promises, enterprises and providers must be wary of the pitfalls that can hinder its scaled adoption. By addressing the risks and challenges head-on, enterprises can access the possibilities of generative AI, while service and technology providers can ensure their solutions are ethical, safe, and responsible. Watch this webinar as our analysts uncovered the critical risks and safety considerations surrounding generative AI. They also explored generative AI business implications and present potential solutions. What questions has the webinar answered for the participants? What are the key risks or safety considerations related to generative AI? What are the implications of these risks for enterprises? What are the best practices or potential solutions to overcome generative AI risks?

With increasing data volumes, enterprises are readily adopting Artificial Intelligence (AI) and Machine Learning (ML) capabilities to gain business insights and make decisions. However, they face several challenges in deploying ML models to production. As a result, enterprises are leveraging Machine Learning Operations (MLOps) to improve the quality of ML models’ results, achieve business-oriented outcomes, and enhance stakeholder experience. Today, the MLOps market is rapidly evolving in terms of product features, architecture, training and support, deployment options, partner ecosystem, and commercial models. Enterprises looking to adopt MLOps solutions and improve their AI/ML transformation journeys must select the best-fit technology provider for their needs. This compendium provides detailed profiles of 18 technology providers featured on Everest Group’s MLOps Products PEAK Matrix® 2022. Each profile provides a comprehensive picture of the provider’s size and scope of business, product capabilities, partnerships, domain investments, and case studies. Scope: All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2021, interactions with leading MLOps technology providers, client reference checks, and an ongoing analysis of the MLOps products landscape Contents: In this report, we analyze the MLOps technology provider landscape and include: Technology providers’ leadership, presence across geographies and industries, and global revenue estimates MLOps’ product offerings, along with key partnerships across the ML life cycle Technology provider investments across talent, infrastructure (centers of excellence / labs), acquisitions, research, academic partnerships, and solutions Recent case studies, with detailed descriptions of the solutions provided Everest Group’s remarks on the strengths and limitations of each technology provider Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management

As data volumes increase exponentially, enterprises are adopting AI and ML capabilities to gain business insights and make decisions. However, enterprises face several challenges in deploying ML models to production. As a result, enterprises are leveraging Machine Learning Operations (MLOps) for their deployment, monitoring, and collaboration needs to improve the quality and relevance of ML model results, achieve business-oriented outcomes, and enhance stakeholder experience. MLOps is a growing market, rapidly evolving in terms of product features, architecture, training and support, deployment options, partner ecosystem, and commercial models. Technology providers can help enterprises succeed in their AI/ML transformation journeys by implementing MLOps across the enterprise. In this research, we present detailed profiles and assessments of 18 technology providers featured on Everest Group’s MLOps Products PEAK Matrix® 2022. Each profile provides a comprehensive picture of the technology provider’s size and scope of business, product capabilities, partnerships, domain investments, and case studies. Scope The assessment is based on Everest Group’s annual RFI process for the calendar year 2022, interactions with leading MLOps providers, client reference checks, and an ongoing analysis of the MLOps products landscape All industries and geographies Contents This report features: Everest Group’s PEAK Matrix® evaluation of MLOps technology providers and their categorization into Leaders, Major Contenders, and Aspirants An overview of MLOps and key challenges in scaling AI Key ML platform technology trends A detailed assessment of the strengths and limitations of 18 MLOps technology providers in terms of their market impact and vision & capability Membership(s) Data & Analytics Sourcing and Vendor Management