■ NewsInsight from the intersection of AI and business
Product updates, research, customer stories, and perspectives from the team building AI at S&P Global.
NewsArchive
Kensho LLM-Ready API adds Private Company Financials, S&P Capital IQ Estimates datasets, and enhanced auditability for public company financials
Kensho LLM-Ready API now features access to S&P Global Private Company Financials and S&P Capital IQ Estimates data, along with in-line source document links for existing S&P Global public financials data. These enhancements unlock new possibilities for AI-driven financial analysis workflows to enable deeper insights, transparency, and confidence in data-driven decision-making.
Designing trustworthy AI: Principles for effective human-AI teaming in finance
A human-AI collaboration approach can ensure trust, transparency, and control when designing generative AI applications. We outline key design principles to help organizations safely deploy agentic AI in financial environments.
The Future of S&P AI Benchmarks
Benchmarks have a natural lifecycle. As generative AI evolves and large language models (LLMs) improve ever more rapidly, model performance has progressed to the point where our benchmarks have served their purpose. As our research enters a new phase, we are sunsetting S&P AI Benchmarks by Kensho and will no longer be updating our public leaderboards. We want to explain why we’re making this change, and what it means for our customers and the industry.
S&P Global launches Kensho LLM-ready API (beta), making its structured data accessible for generative AI
New solution enables customers to seamlessly integrate complex, high-priority S&P Global datasets into Generative AI models.
What is the future of generative AI beyond chat interfaces?
While chat-based AI models have dominated the landscape, the future of GenAI appears to extend beyond casual conversation. By acknowledging the limitations of chat for extended and diverse tasks and recognizing the suitability of both small and large models in specific scenarios, the trajectory of AI points towards integrated systems.
NeurIPS 2023 recap
Welcome to our quick recap of NeurIPS 2023, a yearly conference that stands at the forefront of advancement in artificial intelligence. Last December, we had the incredible opportunity to attend many engaging talks and tutorials.
Learnings from the lab: Querying S&P Global’s tabular data using LLMs
Understanding complex data structures is a major challenge for Generative AI use cases. Kensho is designing specialized LLM-Ready APIs to tackle this problem.
Launched: S&P AI Benchmarks, a solution that evaluates LLMs for finance and business
Today we launched S&P AI Benchmarks by Kensho (Beta), a solution that assesses the abilities of Large Language Models (LLMs) to understand and leverage text that concerns finance and business. This exciting project, which combines S&P Global’s finance expertise with Kensho’s cutting-edge research and engineering, has witnessed substantial growth in the past year. It originated as an R&D initiative to fairly evaluate models, culminated in an academic research paper, and has now blossomed into a full-fledged resource for the industry at large.
Beyond innovation: Leveraging the power of machine learning for business growth
Discover the transformative role of GenAI and Machine Learning for business growth as it reshapes business operations and drives innovation in the era of AI.
Distributed training with Kubernetes
Neural networks are more relevant than ever with the rise of GenAI, in particular large language models, and at Kensho we’ve been employing them in a wide range of applications. However, training these complex models can be computationally intensive and expensive. In collaboration with our ML Research team, Kensho’s infrastructure team tackled this challenge using a multi-node approach that could be easily integrated into our existing infrastructure.
Introducing S&P Global Marketplace generative AI search
Announcing enhanced natural language search functionality utilizing large language models (LLMs). The initial release of Marketplace Generative AI search enables users to ask an array of questions — from simple data questions, such as a dataset’s geographic coverage or history, to more complex questions where answers are pulled from dataset user guides.
Catch the replay — Kensho webinar on the past, present and future of NLP and LLM technologies for business
The webinar featured Kensho’s Chief Strategy Officer, Peter Licursi, and our Head of R&D, Chris Tanner, discussing topics including the evolution of NLP research over the past decade and how it’s led us to where we are today with technologies like ChatGPT.
■ Get startedTalk to our team about what’s possible
At Kensho, you’ll work at the intersection of trusted data, advanced AI, and real-world decision-making. We hire talented people and give them autonomy and support to develop cutting-edge solutions that solve complex business problems.