Infosys and Economist Impact Unveil AI-Powered Sustainability Atlas
Infosys and Economist Impact have launched The Sustainability Atlas, an AI-powered tool designed to assist businesses and policymakers in navigating sustainability challenges. Announced in a press release, the tool leverages Infosys Topaz, a suite of generative AI technologies, to deliver insights across various sustainability topics.
The Sustainability Atlas draws on data from 18 Economist Impact indices, encompassing over 1,700 indicators and 500 reports. It provides users with succinct answers to sustainability-related questions, covering topics such as climate resilience and social inclusion. The tool's interactive globe feature allows for cross-geography comparisons, enabling users to evaluate sustainability metrics like food security and health inclusion between different regions.
Key sectors such as energy, financial services, manufacturing, and retail can benefit from industry-specific insights offered by the Atlas. Business leaders can track and compare their progress in reducing emissions, while policymakers can identify key sustainability challenges for targeted regulation. The Atlas aims to evolve into a global intelligence network, guiding collaborative action towards a sustainable future.
We hope you enjoyed this article.
Consider subscribing to one of several newsletters we publish like Enterprise AI Brief.
Also, consider following us on social media:
More from: Enterprise
Subscribe to Daily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more