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The Future of Enterprise AI starts with Knowledge Graphs – Powered by SAP HANA Cloud

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Manage episode 482892790 series 2304478
Inhalt bereitgestellt von Let’s Talk Data. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Let’s Talk Data oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this insightful episode of the Let’s Talk Data Podcast by SAP, host Niklas Siemer is joined by Shabana Samsudheen to explore the exciting new Knowledge Graph Engine in SAP HANA Cloud. The conversation dives deep into what knowledge graphs are, how they transform data analysis, and the value they unlock for organizations already using HANA Cloud—or considering it.

Together, they break down key concepts like multi-model data processing, real-time insights, and the seamless integration of relational, document, spatial, and graph data. Shabana shares practical guidance on how to model, build, and use knowledge graphs effectively, including how to enhance AI applications like recommendation systems, search engines, and large language models (LLMs).

Key Topics of Discussion:

  • What Knowledge Graphs Are and Why They Matter
    Explanation of knowledge graphs, how they differ from traditional data models, and their role in connecting entities and relationships for deeper data insights.
  • Using Knowledge Graphs in SAP HANA Cloud
    How SAP HANA Cloud supports multimodal data processing and allows seamless integration and analysis of knowledge graph data alongside other data types.
  • Creating and Managing Knowledge Graphs
    Steps to build knowledge graphs manually or with tools like LLM-based extractors, and how to store, query, and analyze them using HANA Cloud’s high-performance engine.
  • Business and AI Use Cases Powered by Knowledge Graphs
    Real-world applications in search engines, recommendation systems, and enterprise AI—highlighting how knowledge graphs enhance performance, context, and accuracy.
  • Future Trends and Strategic Importance of Knowledge Graphs
    Predictions for the evolution of knowledge graphs, including real-time graph processing, graph-based reasoning, and integration with large language models for next-gen AI.

Subscribe to The Let’s Talk Data Podcast

Apple Podcasts

Spotify

YouTube

Connect With Niklas Siemer

Linkedin

Connect With Shabana Samsudheen

LinkedIn

Additional Resources:

Learn more about SAP HANA Cloud at www.sap.com/hana

Explore with the Knowledge Graph overview blog: https://community.sap.com/t5/technology-blogs-by-sap/connecting-the-facts-sap-hana-cloud-s-knowledge-graph-engine-for-business/ba-p/13888597

See what else is new with SAP HANA Cloud: https://community.sap.com/t5/tag/whatsnewinsaphanacloud/tg-p

  continue reading

100 Episoden

Artwork
iconTeilen
 
Manage episode 482892790 series 2304478
Inhalt bereitgestellt von Let’s Talk Data. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Let’s Talk Data oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this insightful episode of the Let’s Talk Data Podcast by SAP, host Niklas Siemer is joined by Shabana Samsudheen to explore the exciting new Knowledge Graph Engine in SAP HANA Cloud. The conversation dives deep into what knowledge graphs are, how they transform data analysis, and the value they unlock for organizations already using HANA Cloud—or considering it.

Together, they break down key concepts like multi-model data processing, real-time insights, and the seamless integration of relational, document, spatial, and graph data. Shabana shares practical guidance on how to model, build, and use knowledge graphs effectively, including how to enhance AI applications like recommendation systems, search engines, and large language models (LLMs).

Key Topics of Discussion:

  • What Knowledge Graphs Are and Why They Matter
    Explanation of knowledge graphs, how they differ from traditional data models, and their role in connecting entities and relationships for deeper data insights.
  • Using Knowledge Graphs in SAP HANA Cloud
    How SAP HANA Cloud supports multimodal data processing and allows seamless integration and analysis of knowledge graph data alongside other data types.
  • Creating and Managing Knowledge Graphs
    Steps to build knowledge graphs manually or with tools like LLM-based extractors, and how to store, query, and analyze them using HANA Cloud’s high-performance engine.
  • Business and AI Use Cases Powered by Knowledge Graphs
    Real-world applications in search engines, recommendation systems, and enterprise AI—highlighting how knowledge graphs enhance performance, context, and accuracy.
  • Future Trends and Strategic Importance of Knowledge Graphs
    Predictions for the evolution of knowledge graphs, including real-time graph processing, graph-based reasoning, and integration with large language models for next-gen AI.

Subscribe to The Let’s Talk Data Podcast

Apple Podcasts

Spotify

YouTube

Connect With Niklas Siemer

Linkedin

Connect With Shabana Samsudheen

LinkedIn

Additional Resources:

Learn more about SAP HANA Cloud at www.sap.com/hana

Explore with the Knowledge Graph overview blog: https://community.sap.com/t5/technology-blogs-by-sap/connecting-the-facts-sap-hana-cloud-s-knowledge-graph-engine-for-business/ba-p/13888597

See what else is new with SAP HANA Cloud: https://community.sap.com/t5/tag/whatsnewinsaphanacloud/tg-p

  continue reading

100 Episoden

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