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Product updates, research, customer stories, and perspectives from the team building AI at S&P Global.
NewsArchive
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.
4 key takeaways from our workshop at HCII2024
During our recent workshop at the Human-Computer Interaction International Conference (HCII2024), we delved into the intersection of the evolving landscape of AI models, human-centric design, and the growing field of financial AI. Here are four key takeaways from our workshop, offering insights into how these areas shape designing AI applications.
An Introduction to mitigating toxicity in LLMs - Pt. 2
In our last post, we introduced toxicity as a challenge when building LLMs and various methodologies to mitigate it. In this post, we’re going to focus on utilizing one of those methodologies — auxiliary tools — and assessing some tools that are available to the public.
An introduction to mitigating toxicity in LLMs
A vital aspect of “productionalizing” Large Language Models (LLMs) is to ensure a safe user experience and promote alignment with societal standards. LLMs excel at generating language and answering user-input questions, even some of the hardest ones. However, when given a malicious prompt, LLMs may also try to answer that with an unsafe response.
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.
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.
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.
Navigating the data science landscape: My journey and a helpful guide
From grappling with the basics of math and statistics to diving into the world of coding, data manipulation, and visualization, I’ve learned that becoming a data scientist is not just about mastering skills — it’s about embracing a mindset of perpetual growth and innovation.
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.
What is data enrichment?
In today’s rapidly evolving digital landscape, data is more than just a collection of ones and zeros; it’s the lifeblood of modern businesses. We are excited to delve into the transformative potential of data enrichment and its profound impact on organizational strategies, customer insights, and overall success. Join us as we explore how this process, executed through innovative tools like Kensho NERD and Kensho Link, is shaping the future of decision-making.
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.
Kensho industry use case: Natural language processing for document management systems
In today’s information-driven world, organizations face the daunting challenge of efficiently managing and extracting value from vast amounts of textual data. This is where Natural Language Processing (NLP) comes to the rescue. NLP, a branch of artificial intelligence, empowers document management systems to understand, interpret, and extract meaningful insights from unstructured text. By combining the power of linguistics, machine learning, and data processing techniques, NLP revolutionizes how organizations handle documents, enabling them to unlock the untapped potential of their textual data.
The power of NLP for legal and compliance
In the evolving landscape of legal and compliance, staying ahead of the game is crucial for organizations. One technology that is gaining traction in these industries is Natural Language Processing (NLP). With its ability to understand, interpret, and generate human language, NLP is transforming the way legal and compliance professionals operate, enhancing efficiency, accuracy, and overall effectiveness.
Kensho industry use case: Entity & thematic tagging for document filtering and search
Expert networks are professional services firms that are increasingly diversifying their business model to include online platforms to complement their core expert call business, usually one-on-one research consultations. Through an expert network service, a CEO can find and interview a professional with relevant expertise to interview on a topic. The audio of the conversation is recorded, transcribed into text, then provided to the client. From there, expert networks compile all transcribed interviews into an online web-based library, which is accessible with a paid subscription.
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.
Monetizing audio is the new competitive advantage
Audio, and the emerging trend of audio as a data set, is a valuable but underutilized resource. Until recently, the transcription of audio was expensive and often slow due to manual processes. In short, it was only as fast as qualified humans could properly transcribe it. That’s changing thanks to major breakthroughs in AI transcription.
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