S&P Global and Amazon Web Services (AWS) are building on a longtime relationship with a multi-year strategic collaboration that will be based on AWS as preferred cloud provider and help S&P Global enhance its cloud infrastructure, accelerate business growth, and engineer innovation.
The collaboration reinforces S&P Global’s efforts to optimise its data and technology assets and infrastructure, a cornerstone of a strategic framework introduced during its 2022 Investor Day, and is planned to extend delivery of advanced, secure, cloud-based services to more than 100,000 of S&P Global’s government and enterprise customers across 43 countries.
As part of the arrangement, S&P Global will move its Capital IQ and remaining core data platforms to AWS by 2025. The partners will also build on previous strategic initiatives, such as collaboration on S&P Global’s Enterprise Data Management (EDM) solution, and take advantage of S&P’s investments in technological innovation in recent years that have led to AI research and product delivery. Already, through the application of its proprietary capabilities, including those developed by Kensho, S&P Global is providing next-generation analytics, AI, ML, and data visualisation systems to financial services, corporate and intelligence markets.
“This transformative collaboration with AWS exemplifies our focus on expanding the potential of data and technology,” says Douglas L. Peterson, president and CEO of S&P Global. “Our data, analytics, and insights, in combination with AWS’ reliability, security, and technology, will drive innovation across our businesses and create value for all our mutual customers.”
Adam Selipsky, CEO of AWS, comments: “Together with S&P Global, we will deliver new technologies that will help customers across all industries take advantage of advanced market data and innovate more rapidly.”
All told, the collaboration will see S&P Global work with AWS to develop cloud-based services, using decades of market data and insights. This will provide customers with modern and scalable technology services for data discovery and customer integration using data science, analytics, and AI. It also plans to deliver new insights, risk assessments, and predictive modeling to customers faster and with greater granularity.
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