Enterprise AI platforms are at the forefront of digital transformation, enabling businesses to innovate, compete, and operate efficiently. These platforms empower organizations to streamline processes, enhance decision-making, and accelerate their AI adoption journeys by unifying data governance, model training, deployment, and monitoring in a single ecosystem. Gen AI further amplifies this by enabling dynamic automation, content generation, and personalized customer interactions. In this report, we analyze enterprise AI platforms, including their architecture, core components, and technology advances. The report highlights key trends shaping these platforms’ adoption, including the rise of Small Language Models (SLMs) tailored to specific business needs, the growing importance of ethical AI governance, and the integration of real-time decision-making capabilities. It also examines enterprise challenges in scaling AI adoption. This research offers valuable insights for businesses harnessing AI platforms for sustainable growth and competitive differentiation. Scope Industry: cross-industry Geography: global Contents In this report, we examine: Introduction to enterprise AI platforms: overview of architecture, capabilities, and definitions Technology advances: insights into gen AI, agentic AI, and governance tools shaping platform capabilities Market trends and drivers: the role of SLMs, real-time analytics, and scalable AI solutions in adoption Ecosystem evaluation: leading players across big tech, data management heritage, native AI, and specialized AI providers Challenges and strategic solutions: addressing integration, data complexity, and cost management Membership(s) Artificial Intelligence (AI) Sourcing and Vendor Management

The Data and Analytics (D&A) and AI market continues to grow rapidly, fueled by expanding enterprise data and AI-ML advances. Organizations are turning toward D&A and AI solutions to drive digital transformation, enhance decision-making, and scale operational efficiency. Microsoft has solidified its position as a key provider in the D&A and AI ecosystem, offering end-to-end solutions that seamlessly integrate into enterprise environments. At Ignite 2024, Microsoft unveiled innovations designed to streamline data workflows, advance generative AI capabilities with a focus on AI agents, and reinforce security and governance to meet enterprise-grade requirements. These updates aim to improve productivity, drive automation, and enable context-aware decision-making across industries. In this report, we analyze Microsoft’s latest announcements from Ignite 2024, identifying growth opportunities, enterprise challenges, and the company’s competitive positioning. The report further delves into Microsoft’s key offerings, major differentiators, and areas where additional refinement 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 Microsoft Ignite 2024 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for D&A and AI Microsoft’s current positioning in the D&A and AI market Announcements from Microsoft Ignite 2024 Membership(s) Data & Analytics Artificial Intelligence (AI) Sourcing and Vendor Management

The Data and Analytics (D&A) and AI market is rapidly expanding, driven by growing data volumes and AI-ML advances. Enterprise demand for D&A and AI primarily stems from their need to accelerate digital transformation, optimize operations, and drive scalability. IBM plays a key role in the D&A and AI landscape, enabling enterprises to efficiently build, deploy, and govern AI models while driving AI-powered analytics and ensuring stringent data privacy and compliance. Innovations and updates announced at the TechXchange 2024 event focus on enhancing generative AI efficiency, bolstering AI governance, and accelerating business automation with agentic workflows. In this report, we examine IBM’s latest updates from TechXchange 2024, outlining growth opportunities, challenges enterprises face, and IBM’s current positioning and new offerings in this space. The report also highlights IBM’s key differentiators and potential improvement areas. Scope All industries and geographies The assessment is based on Everest Group’s participation in, and monitoring of announcements made at the IBM TechXchange 2024 event Contents In this report, we examine: Key themes driving and inhibiting enterprise demand for D&A and AI IBM’s current positioning in the D&A and AI market Announcements from IBM TechXchange 2024 Analyze the new release’s strengths and areas of improvement Membership(s) Data & Analytics Sourcing and Vendor Management

Snowflake is a cloud-based data platform that unifies data management, analysis, and sharing. It provides a centralized location for structured and unstructured data, enabling data-driven insights and innovation. The platform’s architecture supports scalability, concurrency, and data sharing and incorporates data security and governance features. In this report, we examine Snowflake’s latest updates from its Data Cloud Summit 2024, explore growth areas and challenges in the field, evaluate Snowflake’s offerings, highlight their unique features, and suggest what could be better. Scope All industries and geographies This assessment is based on Everest Group’s tracking of Snowflake’s Data Cloud Summit 2024 Contents In this report, we examine: Key enterprise demand themes Snowflake’s current positioning in data and analytics Snowflake’s Data Cloud Summit 2024 announcements Everest Group’s review of Snowflake’s Data Cloud Summit 2024 product announcements Membership(s) Data & Analytics Sourcing and Vendor Management

Databricks, a key player in the data and analytics market, delivers a cloud-based platform that enables enterprises to manage, analyze, and harness the value of their data. Its data intelligence platform aims to provide a unified solution for data storage and an AI-led innovation toolkit while maintaining enterprise data security. In this report, we examine Databricks’ latest updates from its 2024 Data + AI Cloud Summit, explore growth areas and challenges in the field, examine Databricks' offerings, highlight their unique features, and suggest what could be better. Scope All industries and geographies The assessment is based on Everest Group’s tracking of Databricks’ Data + AI Cloud Summit 2024 Contents In this report, we examine: Key enterprise issues and objectives Databricks' current positioning in data and analytics Databricks’ Data + AI Cloud Summit 2024 announcements Everest Group’s review of Databricks’ Data + AI Cloud Summit 2024 product announcements Membership(s) Data & Analytics Sourcing and Vendor Management

AI and Machine Learning (ML) technologies’ rising adoption has revolutionized how enterprises use data, elevating the technologies’ significance. Today, data is integrated into every aspect of operations to facilitate decision-making and drive innovation, increasing data access and consumption. However, the ever-evolving landscape of high-volume data and intricate interdependencies between platforms have highlighted challenges for data teams. These challenges hinder teams’ visibility into data movement, quality, reliability, and operational costs. To address these challenges, enterprises are adopting data observability. It offers end-to-end data stack visibility, enabling organizations to proactively identify and diagnose data-related issues and optimize the underlying data’s overall health. This compendium provides accurate, comprehensive, and fact-based snapshots of 20 data observability technology providers. Each profile offers a detailed overview of the provider’s operations, product capabilities, investments, integrations, and market success. Scope All industries and geographies This assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading data observability technology providers, client reference checks, and an ongoing analysis of the data observability market Contents In this report, we examine: The data observability technology providers’ landscape Enterprises’ sourcing considerations Providers’ leadership, case studies, product capabilities, and presence across geographies and industries Key investments and integrations Providers’ key strengths and limitations Membership(s) Data & Analytics Sourcing and Vendor Management

The rising adoption of AI and ML has revolutionized how enterprises use data, elevating its importance to unprecedented levels. Today, data is integrated into every facet of operations to facilitate decision-making and drive innovation, resulting in a substantial increase in data access and consumption. However, the ever-evolving landscape of high-volume data, coupled with intricate interdependencies between platforms, has amplified challenges for data teams. These challenges hinder their visibility into data movement, quality, reliability, and the cost of data operations. To address these challenges, enterprises are embracing modern data management practices such as data observability. Data observability offers end-to-end visibility of data estates, enabling organizations to proactively identify and diagnose data-related issues while optimizing the underlying data’s overall health. In this report, we assess 20 providers featured on the Data Observability Technology Provider PEAK Matrix® 2024. Each profile offers a comprehensive picture of the provider’s key strengths and limitations. Scope: All industries and geographies The assessment is based on Everest Group’s annual RFI process for the calendar year 2023, interactions with leading data observability technology providers, client reference checks, and an ongoing analysis of the data observability market Contents: In this report, we examine: Data observability technology provider landscape Data Observability Technology Provider PEAK Matrix® characteristics Enterprise sourcing considerations Membership(s) Data & Analytics Outsourcing Excellence

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

In 2023, we witnessed massive investments in generative AI, with the majority coming from the supply side. Despite the initial fervor ignited by ChatGPT, the anticipated surge in enterprise adoption is yet to come. One factor contributing to this delay is the need for real-world implementation examples to make adoption more realistic and attainable. In this webinar, our expert analysts explored the hype vs. reality of generative AI, showcased actual production-level use cases, addressed challenges head-on, and provided a glimpse into the future of this transformative technology as we move into 2024. What questions has the webinar answered for the participants? Beyond the hype, what does real generative AI adoption look like in enterprises? What are the key technology trends shaping the generative AI market? What will be the future themes across generative AI in 2024?

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