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Contenido proporcionado por Enterprise Knowledge. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Enterprise Knowledge o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Doug Kimball - Chief Marketing Officer of Ontotext

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Contenido proporcionado por Enterprise Knowledge. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Enterprise Knowledge o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Enterprise Knowledge COO Joe Hilger speaks with Doug Kimball, Chief Marketing Officer of Ontotext. Ontotext, known for its product GraphDB, specializes in semantic knowledge graphs, which are potent tools for structuring, representing, and sharing information through connected concepts.

In their conversation, Joe and Doug discuss the significance and application of semantic graph databases in solving knowledge management (KM) challenges. Doug emphasizes that knowledge graphs are crucial for solving data and knowledge management issues across various industries. The conversation also touches on the interconnection of information silos, the concept of digital twins, and the importance of semantic layers for effective data management. They discuss the role of semantic graph databases in enabling advanced applications like generative AI and the future of knowledge management technologies, highlighting the shift towards semantic understanding and interconnected data.

To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠⁠⁠.

EK's Knowledge Base: ⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠⁠⁠

Contact Us: ⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠⁠⁠

Twitter/X: ⁠⁠⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠

  continue reading

82 episodios

Artwork
iconCompartir
 
Manage episode 410025640 series 2998079
Contenido proporcionado por Enterprise Knowledge. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Enterprise Knowledge o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Enterprise Knowledge COO Joe Hilger speaks with Doug Kimball, Chief Marketing Officer of Ontotext. Ontotext, known for its product GraphDB, specializes in semantic knowledge graphs, which are potent tools for structuring, representing, and sharing information through connected concepts.

In their conversation, Joe and Doug discuss the significance and application of semantic graph databases in solving knowledge management (KM) challenges. Doug emphasizes that knowledge graphs are crucial for solving data and knowledge management issues across various industries. The conversation also touches on the interconnection of information silos, the concept of digital twins, and the importance of semantic layers for effective data management. They discuss the role of semantic graph databases in enabling advanced applications like generative AI and the future of knowledge management technologies, highlighting the shift towards semantic understanding and interconnected data.

To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠⁠⁠.

EK's Knowledge Base: ⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠⁠⁠

Contact Us: ⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠⁠⁠

Twitter/X: ⁠⁠⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠

  continue reading

82 episodios

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