Kensho

Kensho
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AI, Data Analysis, Transcription, Entity Recognition, Data Extraction, Document Classification, Machine Learning, Natural Language Processing, Cloud Computing, Data-Driven Decisions

Kensho is an artificial intelligence company that serves as the AI innovation hub for S&P Global. It combines natural language search, graphical user interfaces, and secure cloud computing to create advanced analytics tools for investment professionals and businesses. Kensho's suite of AI-powered solutions includes transcription, entity recognition, data extraction, document classification, and more. The company aims to empower organizations to make data-driven decisions with conviction by unlocking insights from complex unstructured data.

Kensho's AI-powered platform offers a suite of advanced tools for data analysis, natural language processing, and machine learning. These tools are designed to help businesses uncover insights, automate workflows, and make data-driven decisions with high accuracy and efficiency.

Highlights:

  • Combines natural language search, graphical user interfaces, and secure cloud computing
  • Offers a suite of AI-powered solutions including transcription, entity recognition, data extraction, and document classification
  • Aims to empower organizations to make data-driven decisions with conviction
  • Provides solutions for speech-to-text transcription, entity recognition, company database linking, PDF data extraction, and document concept classification
  • Designed to help businesses uncover insights, automate workflows, and make data-driven decisions with high accuracy and efficiency

Key Features:

  • Scribe AI: Highly accurate speech-to-text transcription service
  • NERD (Named Entity Recognition and Disambiguation): Identifies entities in text
  • Link: Matches company data with S&P Global's Company IDs
  • Extract: Automates data extraction from complex PDF documents
  • Classify: Uses AI to understand document concepts

Benefits:

  • High accuracy in speech-to-text transcription and data processing
  • Integration with extensive databases like S&P Global
  • Versatile toolkit addressing multiple data analysis needs
  • Advanced AI and machine learning capabilities
  • Automates workflows and saves manual processing time

Use Cases:

  • Financial Analysis: Analyze transcripts and reports
  • Legal Document Processing: Extract key information from legal documents
  • Market Research: Process large volumes of text data
  • Regulatory Compliance: Extract and classify relevant information
  • Academic Research: Analyze research papers and transcribe interviews