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AI’s Future: Harnessing Unstructured Data (With Kirk Marple) -Ep #160

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Manage episode 442898500 series 3451071
Innehåll tillhandahållet av Marc Verbenkov. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Marc Verbenkov eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

In this episode, we explore how AI is transforming the way businesses manage unstructured data, focusing on the role of knowledge graphs, retrieval-augmented generation, and vertical AI applications to drive innovation and improve data processing.

About the Episode:

In this episode, we dive into the evolving world of unstructured data and its transformative impact on AI development. As businesses increasingly face the challenge of making sense of vast amounts of unstructured information, we explore how advanced technologies, such as retrieval-augmented generation and knowledge graphs, are streamlining data processing and improving accuracy. We’ll also discuss how vertical AI applications are revolutionizing industry-specific solutions by leveraging large language models (LLMs) and enhancing adaptability and domain-specific understanding. This episode offers insights into the future of unstructured data management, the integration of AI, and what businesses need to know to stay ahead in this fast-evolving landscape.

About the Guest:

Kirk Marple is the founder and CEO of Graphlit, an end-to-end API that streamlines the development of vertical AI apps by ingesting unstructured data and leveraging retrieval augmented generation to improve accuracy, domain specificity, adaptability, and context understanding – all while expediting development. He’s also a serial entrepreneur with an established history leading technical teams at companies including Microsoft and General Motors.

Timestamps:

00:01:18 - Episode Commences

00:04:10 - The Inspiration to dive into AI development

00:07:24 - The Emerging Technology & AI

00:12:30 - Tangible connection of the knowledge graph to the real world

00:17:25 - Graphlit understanding the Connection between Things

00:23:30 - The Importance of Graphlit

00:30:00 - The Graphlit User Experience

00:37:44 - How Fast Can You Get the Work Done With Graphlit

00:44:10 - Graphlit's Ability to Solve the Technical Problems

00:47:50 - The Future of Structured Data

00:52:00 - Episode Concludes

Additional Notes:

For more check out the website: https://futuretechandforesight.com/

Or connect with me on –

Twitter: https://twitter.com/FutureTech_Pod

Linkedin: https://www.linkedin.com/company/futuretechandforesight/

#UnstructuredData #AIDevelopment #DataProcessing #RetrievalAugmentedGeneration #KnowledgeGraphs #LargeLanguageModels #VerticalAI #AIinBusiness #IndustrySpecificAI #DataManagement #AIIntegration #AIandData #AIInnovation #BusinessAI #AdvancedAI #AITrends #DataAnalytics #AIFuture #TechInnovation #AITransformation



  continue reading

160 episoder

Artwork
iconDela
 
Manage episode 442898500 series 3451071
Innehåll tillhandahållet av Marc Verbenkov. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Marc Verbenkov eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

In this episode, we explore how AI is transforming the way businesses manage unstructured data, focusing on the role of knowledge graphs, retrieval-augmented generation, and vertical AI applications to drive innovation and improve data processing.

About the Episode:

In this episode, we dive into the evolving world of unstructured data and its transformative impact on AI development. As businesses increasingly face the challenge of making sense of vast amounts of unstructured information, we explore how advanced technologies, such as retrieval-augmented generation and knowledge graphs, are streamlining data processing and improving accuracy. We’ll also discuss how vertical AI applications are revolutionizing industry-specific solutions by leveraging large language models (LLMs) and enhancing adaptability and domain-specific understanding. This episode offers insights into the future of unstructured data management, the integration of AI, and what businesses need to know to stay ahead in this fast-evolving landscape.

About the Guest:

Kirk Marple is the founder and CEO of Graphlit, an end-to-end API that streamlines the development of vertical AI apps by ingesting unstructured data and leveraging retrieval augmented generation to improve accuracy, domain specificity, adaptability, and context understanding – all while expediting development. He’s also a serial entrepreneur with an established history leading technical teams at companies including Microsoft and General Motors.

Timestamps:

00:01:18 - Episode Commences

00:04:10 - The Inspiration to dive into AI development

00:07:24 - The Emerging Technology & AI

00:12:30 - Tangible connection of the knowledge graph to the real world

00:17:25 - Graphlit understanding the Connection between Things

00:23:30 - The Importance of Graphlit

00:30:00 - The Graphlit User Experience

00:37:44 - How Fast Can You Get the Work Done With Graphlit

00:44:10 - Graphlit's Ability to Solve the Technical Problems

00:47:50 - The Future of Structured Data

00:52:00 - Episode Concludes

Additional Notes:

For more check out the website: https://futuretechandforesight.com/

Or connect with me on –

Twitter: https://twitter.com/FutureTech_Pod

Linkedin: https://www.linkedin.com/company/futuretechandforesight/

#UnstructuredData #AIDevelopment #DataProcessing #RetrievalAugmentedGeneration #KnowledgeGraphs #LargeLanguageModels #VerticalAI #AIinBusiness #IndustrySpecificAI #DataManagement #AIIntegration #AIandData #AIInnovation #BusinessAI #AdvancedAI #AITrends #DataAnalytics #AIFuture #TechInnovation #AITransformation



  continue reading

160 episoder

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