■ 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
Inside Kensho’s LLM-ready API: How engineers enable secure natural language access to S&P Global data
Three engineers share how Kensho — S&P Global's AI innovation engine — built and scaled the Kensho LLM-ready API to deliver financial intelligence wherever customers work.
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.
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.
Unlocking precision and speed: Discover the latest enhancements to Kensho Scribe
We are excited to introduce the latest update to Kensho Scribe AI, our speech-to-text transcription tool. From meeting note documentation to earnings call transcription, our enhanced model offers cutting-edge technology to streamline your workflow and deliver precise results. This new model delivers a 30% reduction in errors compared to our previous model while significantly increasing output quality. These latest advancements can transform your transcription experience and drive greater efficiency in your operations.
Postgres and OpenSearch: Mature data storage technologies and high-performance vector search engines
Postgres and OpenSearch: Mature Data Storage Technologies and High-Performance Vector Search Engines
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.
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.
How human-reviewed machine-readable transcripts supercharge audio data
Machine-Readable Human-Reviewed (MRHR) transcripts merge modern technological capabilities with human reassurance to produce a transcription that is machine-readable and human-reviewed.
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.
Automating application deployments at Kensho
Kensho’s AI product offerings encompass about 20 applications, including core services as internal services like a debugging dashboard and a customer authentication tool. As our AI products promote efficiency for our customers, we are also always trying to automate internal workflows, such as deployments, as well. A six-member SRE — Site Reliability Engineering — team is responsible for working with development teams to deploy these services to production clusters, collectively known as Hydra.
Unlocking the power of ASR: From transcription hassles to business advantages
In the ever-evolving landscape of innovation in Artificial Intelligence (AI), speech-to-text technology, or Automatic Speech Recognition (ASR), is a shining example of progress.
Kensho now offers a connection to Business Entity Cross Reference Service from its Link solution
Kensho Link can now connect not only to S&P Global CIQ IDs, but also all BECRS-provided IDs. This new unified service combines the ML-powered entity mapping accuracy of Link with the expansive company identifier data from BECRS into a single efficient workflow.
Databricks Data + AI Summit (DAIS) 2023 top themes
In June, I had the chance to attend Databricks’ annual Data + AI Summit (DAIS) in San Francisco along with a team of my colleagues from S&P Global. In addition to showcasing our product and data offerings, we hosted a speaking session, Using Databricks to Power Insights and Visualizations on the S&P Global Marketplace.
A day in the life of an AI researcher
Artificial intelligence research seems to progress by leaps and bounds, but those great leaps are made possible by the consistent daily grind of thousands of AI researchers. What does a typical workday look like for them? In this article, I will take you through a day in my life as an AI researcher, which probably looks similar to a few or even as many as several other AI researchers’ work lives.
Kensho NLP hackathon: Exploring new challenges with natural language processing
Kensho’s NLP team organized the company’s first ever NLP-specific hackathon that brought together engineers, designers and product managers to explore and develop experimental products using NLP techniques. The hackathon was a great team-building event for connecting, collaborating, showcasing skills and creating new solutions.
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.
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