Core Insights - Rackspace Technology has launched the Foundry for AI by Rackspace (FAIR) Model Context Protocol (MCP) Enterprise Accelerator on the AWS Marketplace, enhancing access to AI-driven solutions for customers [1][3] - The FAIR MCP Enterprise Accelerator on Amazon Bedrock enables organizations to scale deployments with enterprise-grade infrastructure, achieving over 70% reduction in legacy application integration for AI agents [2][3] Company Overview - Rackspace Technology is recognized as a leading end-to-end hybrid cloud and AI solutions provider, capable of designing, building, and operating cloud environments across various technology platforms [5] - The FAIR initiative focuses on advancing business transformation and improving customer experience through the responsible use of AI technologies, identifying over 500 use cases across multiple industries [6] Product Features - The MCP Enterprise Accelerator offers pre-configured server templates, zero-trust architecture, end-to-end encryption, and seamless integration with Amazon Bedrock agents, facilitating rapid deployment and scaling of AI agents [3] - Advanced observability, monitoring, and compliance tools are included to ensure consistent performance and improved decision-making, leading to faster returns on AI investments [3] Market Impact - The availability of AI agents and tools in the AWS Marketplace streamlines the procurement process, reducing the time for vendor evaluations and negotiations, while maintaining visibility and control over licensing and payments [4]

Core Insights - Rackspace Technology has formed a strategic alliance with Sema4.ai to enhance enterprise AI solutions, integrating Rackspace's Foundry for AI (FAIR™) services with Sema4.ai's SAFE AI Agent Platform [1][5] - The collaboration aims to bridge the gap between AI experimentation and full-scale enterprise adoption, addressing the current statistic that only 24% of enterprises have AI agents in production [2][3] Company Overview - Rackspace Technology is a leading provider of hybrid cloud and AI solutions, focusing on the secure and responsible use of AI technologies to drive business transformation and improve customer experience [6][7] - Sema4.ai positions itself as an innovator in enterprise AI agents, emphasizing the importance of these agents in revolutionizing knowledge work and operational efficiency [9][10] Partnership Benefits - The partnership allows businesses to design and deploy custom AI agents tailored to specific use cases, with seamless integration across various functions such as HR, finance, and customer support [3][4] - The SAFE platform from Sema4 enables the integration of advanced AI capabilities into existing enterprise environments, promoting resilience and interconnectivity among AI agents [5][9] Market Context - Rackspace's AI research report highlights a critical gap in AI adoption, indicating a strong market opportunity for solutions that facilitate the transition from experimentation to enterprise-wide deployment [2] - The collaboration is expected to empower businesses to operationalize AI at scale, moving beyond testing to effective deployment of AI agents [4][5]

Core Insights - The report highlights a significant gap between organizations that have adopted AI strategies and those that have not, with "AI Leaders" achieving better productivity and innovation outcomes [1][2][10] - AI investments are surging, with an average increase of nearly 250% from 2024 to 2025, indicating a strong commitment to AI across various sectors [4][5] AI Leadership and Adoption - Only 13% of surveyed organizations are classified as "AI Leaders," who have integrated AI into their business strategies, leading to substantial benefits [1][2] - AI Leaders report a 64% realization of benefits from AI, compared to 32% of other organizations, and are three times more likely to scale AI deployments [1][2] Investment Trends - The average business investment in AI rose from $2.5 million to $8.7 million, with 83% of respondents expecting further increases in AI investments over the next five years [4] - Organizations anticipate a 33% increase in the average number of AI projects in production by the end of 2025 [4] Strategic Value of AI - AI is increasingly viewed as a strategic asset rather than just a tool for optimization, with 90% of respondents identifying customer experience and productivity as primary use cases [6] - Customer experience is the most commonly tracked KPI for AI initiatives, surpassing revenue and profitability [6] Cybersecurity and AI - Cybersecurity is recognized as a top risk factor for AI adoption, but organizations are beginning to see AI as a means to enhance cybersecurity measures [7] - AI Leaders are more likely to embed security protocols into their AI applications to address cybersecurity challenges [7] Challenges in Scaling AI - Despite increased AI deployments, 68% of respondents find it challenging to scale AI technology effectively [8] - 71% agree that investing in infrastructure is essential for enabling the scalability and flexibility needed for AI initiatives [9] Competitive Advantage through AI - AI Leaders view AI as a fundamental competitive driver, with 87% recognizing its importance beyond automation [10] - Two-thirds of AI Leaders reported substantial benefits from AI in the past year, compared to one-third of other companies, indicating a widening competitive gap [10]