Querying vast market datasets required technical skills. Now, clients use natural language in Teams to instantly surface critical trends.
A leading provider of commodity market data, reports, and expert analysis that businesses and governments rely on to navigate fast-moving global markets for power, fuel, and food.
After transforming its vast datasets into AI-ready formats, the organization found that many customers lacked the technical expertise to use the...
“The commodities that influence the world, how we power our homes, the fuel in our cars, the food we eat—we’re providing analysis into these markets every single day. We provide trusted data and information so our customers can make the best possible decision.”
Financial information, data, and analytics for global capital and commodity markets.
Enterprise software, cloud infrastructure, and consumer electronics platform.
S&P Global's Market research is part of this use case:
Related implementations across industries and use cases
Routine reviews delayed member support. Now, non-technical employees securely build custom AI agents to resolve complex cases in minutes.
Reconciling siloed systems delayed revenue forecasts. Now, teams query AI agents in plain language to pull project data in seconds.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
Human focus groups took two months to organize. Now, marketers use debating AI personas to rapidly uncover deep buyer psychology.
Ad-hoc queries bottlenecked analysts for hours. Now, business teams use an AI agent to pull governed insights in plain text.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Querying vast market datasets required technical skills. Now, clients use natural language in Teams to instantly surface critical trends.
A leading provider of commodity market data, reports, and expert analysis that businesses and governments rely on to navigate fast-moving global markets for power, fuel, and food.
After transforming its vast datasets into AI-ready formats, the organization found that many customers lacked the technical expertise to use the...
“The commodities that influence the world, how we power our homes, the fuel in our cars, the food we eat—we’re providing analysis into these markets every single day. We provide trusted data and information so our customers can make the best possible decision.”
Financial information, data, and analytics for global capital and commodity markets.
Enterprise software, cloud infrastructure, and consumer electronics platform.
S&P Global's Market research is part of this use case:
Related implementations across industries and use cases
Routine reviews delayed member support. Now, non-technical employees securely build custom AI agents to resolve complex cases in minutes.
Reconciling siloed systems delayed revenue forecasts. Now, teams query AI agents in plain language to pull project data in seconds.
Trade data was buried in messy chat logs. GenAI now mines the text for pricing, turning raw noise into new revenue streams.
Human focus groups took two months to organize. Now, marketers use debating AI personas to rapidly uncover deep buyer psychology.
Ad-hoc queries bottlenecked analysts for hours. Now, business teams use an AI agent to pull governed insights in plain text.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.