Emil Eifrem stories
Emil Eifrem, through his recent columns, unveils a passionate engagement with leveraging technological advancements to enhance data analytics and AI functionalities. Particularly focused on Neo4j, a leader in graph databases, Eifrem explores how the integration with powerful tools like Google Cloud and innovative features like generative AI and vector search are revolutionizing the way enterprises handle complex data for more accurate, transparent, and explainable outcomes. His interest in the strategic appointments within these tech realms, such as the hiring of a new Chief Product Officer, underscores his acumen in understanding the importance of leadership in driving technological and business growth.
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Neo4j enhances its graph database with vector search
Wed, 23rd Aug 2023
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data analytics
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ai
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big data
Neo4j, a global graph database and analytics company, has integrated native vector search as part of its core database capabilities.
![Story image](../../../../../uploads/story/2023/06/09/preview_GettyImages-1479076854.webp)
Neo4j unveils generative AI features for Google Cloud Vertex
Fri, 9th Jun 2023
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data analytics
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digital transformation
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public cloud
Enterprises can now leverage knowledge graphs with Google’s large language models to make generative AI outcomes more accurate, transparent, and explainable.
![Story image](../../../../../uploads/story/2023/04/06/preview_Sudhir_Hasbe_Chief_Product_Officer_Neo4j(2).webp)
Neo4j hires Sudhir Hasbe as Chief Product Officer
Wed, 5th Apr 2023
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data analytics
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gaming
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public cloud
Graph database and analytics company, Neo4j, has appointed Sudhir Hasbe as Chief Product Officer and achieved double-digit growth in 2022.
![Story image](../../../../../uploads/story/2023/03/30/preview_GettyImages-1250474132.webp)
Neo4j and Google Cloud extend partnership with new integration
Thu, 30th Mar 2023
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partner programmes
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public cloud
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graph analysis
Neo4j has extended its partnership with Google Cloud by introducing a new native integration with Google Cloud’s BigQuery cloud data warehouse.