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Structuring Enterprise & Process Automation Data Using AI with Slater Victoroff

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Manage episode 349579612 series 3425854
Indhold leveret af Deep. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Deep eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Learn how AI can help transform unstructured enterprise and business process automation data into valuable insights with Slater Victoroff, founder and CEO of Indico. Indico is an Enterprise AI Solution for unstructured content, with a focus on document understanding and process automation. In this episode, Deep and Slater discuss the fundamentals of multi-persona data science platforms, the complexities of defining and building models for unstructured data, and deep dive into the advantages of hierarchical labelling and a multi-label approach.

Slater begins by discussing what motivated him to found Indico, and talks about how Indico’s unstructured data platform allows enterprises of all sizes to automate, analyze, & apply unstructured data to a wide variety of workflows.
Learn more about Slater here: https://www.linkedin.com/in/slatervictoroff/ and Indico here: https://indicodata.ai/

  continue reading

80 episoder

Artwork
iconDel
 
Manage episode 349579612 series 3425854
Indhold leveret af Deep. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Deep eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Learn how AI can help transform unstructured enterprise and business process automation data into valuable insights with Slater Victoroff, founder and CEO of Indico. Indico is an Enterprise AI Solution for unstructured content, with a focus on document understanding and process automation. In this episode, Deep and Slater discuss the fundamentals of multi-persona data science platforms, the complexities of defining and building models for unstructured data, and deep dive into the advantages of hierarchical labelling and a multi-label approach.

Slater begins by discussing what motivated him to found Indico, and talks about how Indico’s unstructured data platform allows enterprises of all sizes to automate, analyze, & apply unstructured data to a wide variety of workflows.
Learn more about Slater here: https://www.linkedin.com/in/slatervictoroff/ and Indico here: https://indicodata.ai/

  continue reading

80 episoder

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