What is data and artificial intelligence, and how does it help financial services teams make decisions?

Data and artificial intelligence is the combination of high-quality, trusted datasets plus AI technologies that analyze, summarize, and surface insights in ways that teams can act on. In financial services, it helps decision-makers move from information gathering to decision-making faster by providing both the “big picture” and the granular details needed to validate conclusions. When AI is powered by data and deployed with controls for accuracy and explainability, teams can make decisions with greater conviction across research, risk, and operational workflows.

How can big data and AI work together to improve market, credit, and compliance workflows?

Big data and AI can work together when large-scale datasets (market data, private company information, supply chain signals, news, filings, and research) are made accessible to AI in a usable format, allowing models to detect patterns, automate analysis, and return answers in natural language. This improves workflows by reducing manual research time, accelerating discovery of relevant signals, and delivering sharper insights faster. Practically, this can mean AI-assisted search across content, sentiment and summary features for research; and automation that supports critical functions such as credit risk review and compliance monitoring.

What are common use cases for enterprise AI business solutions built on LLM-ready APIs and secure integrations—and how do you get started?

Common enterprise AI business solutions built on LLM-ready APIs and secure integrations include: Natural-language search across product ecosystems and documentation. AI-enhanced research (summaries, sentiment, transcripts and filings analysis). Portfolio document ingestion and search, credit research discovery and summarization. Real-time access to market insights (e.g., across energy markets).

What does “AI ready data” mean, and what data foundation do you need before deploying GenAI or LLMs in the enterprise?

AI ready data is data that’s prepared for use in GenAI/LLM applications that are delivered in consistent formats, with strong governance, and made accessible through secure, well-documented interfaces (such as LLM-ready APIs). Before deploying GenAI or LLMs in the enterprise, teams typically need: A trusted data foundation (authoritative sources and consistent entity coverage); Secure integration into enterprise AI environments (connectors/APIs that work with existing platforms); and Measurement and governance so usage and outputs can be monitored and controlled. This foundation helps ensure AI outputs are dependable and scalable beyond experimentation.

Most companies are investing in AI. Few are achieving transformative enterprise AI solutions at scale. The gap isn't technology — it's intelligence. S&P Global Essential Intelligence provides the financial data, advanced analytical frameworks, and deep domain expertise that AI demands to move from pilot to enterprise-wide impact. We give you both the big picture and the granular detail aimed to drive business intelligence, advanced analytics, and AI business outcomes that are measurable and built to scale.

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S&P Global brings together one of the most comprehensive and trusted data estates in financial markets with proprietary datasets ranging from private markets to energy expansion, DeFi to supply chain—our Essential Intelligence is the vital raw material that  powers AI-driven business analytics, predictive analytics for financial services, and actionable financial insights.

35,000+

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11M+

entities

99%

representation of the world’s market capitalization

60M+

private company profiles worldwide

98%

of global trade covered by supply chain data

Trillions of transactions. Billions of records. Millions of industry reports.

From credit risk to compliance, AI that keeps up with critical workflows

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