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Production-Grade Data Apps from S&P Global with Databricks and Dash

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Speakers

Onik Kurktchian

Onik Kurktchian

Cal Reynolds

Cal Reynolds

As a world-leading provider of financial information services, S&P Global Market Intelligence delivers workflow solutions that generate real-time insight. These solutions are fed by hundreds of datasets, necessitating a better method for filtering and extracting valuable insights from massive text-based aggregated datasets.

To handle a large volume of unstructured data, S&P Global Market Intelligence needed a flexible, scalable solution. The team leveraged Dash Enterprise and Databricks to develop a series of custom production-grade applications that enabled their clients to easily find patterns, keywords, and insights from earnings call transcripts.

Tune into this customer spotlight to hear how S&P Global Market Intelligence used Dash Enterprise and Databricks to incorporate the following in their visual analytics data applications:

  • Unsupervised learning AI technique that maps key phrases to topics for extracting specific topics in aggregated earnings call transcripts.
  • Streamlined navigation of large datasets with Delta table storage, processed and scaled with Databricks SQL Serverless and using Databricks Unity Catolog.
  • Development of S&P Capital IQ Pro Labs, the home for innovation within Capital IQ Pro. Labs enables collaboration with clients allowing them to explore, experiment, and provide feedback.
  • Faster time-to-insight with custom applications delivered monthly or bi-monthly.

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