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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>Lo show di Giorgio Pompei</title><link>https://www.spreaker.com/podcast/lo-show-di-giorgio-pompei--4077197</link><description><![CDATA[Lo show di Giorgio Pompei]]></description><atom:link href="https://www.spreaker.com/show/4077197/episodes/feed" rel="self" type="application/rss+xml"/><language>it</language><category>Society &amp; Culture</category><copyright>Copyright EL POGIO RADIO</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg</url><title>Lo show di Giorgio Pompei</title><link>https://www.spreaker.com/podcast/lo-show-di-giorgio-pompei--4077197</link></image><lastBuildDate>Mon, 07 Sep 2026 14:00:33 +0000</lastBuildDate><itunes:author>EL POGIO RADIO</itunes:author><itunes:owner><itunes:name>EL POGIO RADIO</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:subtitle>Lo show di Giorgio Pompei</itunes:subtitle><itunes:summary><![CDATA[Lo show di Giorgio Pompei]]></itunes:summary><itunes:category text="Society &amp; Culture"/><itunes:explicit>false</itunes:explicit><podcast:guid>451c5c69-83fc-5bd7-b6f4-2645b1368ae7</podcast:guid><itunes:type>episodic</itunes:type><item><title>GNNs, Graph Data Science &amp; Python Integration</title><link>https://www.spreaker.com/episode/gnns-graph-data-science-python-integration--72365482</link><description><![CDATA[This podcast explores how Graph Neural Networks (GNNs) can be scaled for large datasets using graph data science sampling techniques and Python-based workflows. It discusses efficient graph sampling, model training, performance optimization, and seamless integration between Neo4j and Python for advanced machine learning applications. Perfect for data scientists, AI engineers, machine learning practitioners, and developers working with large-scale graph analytics.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72365482</guid><pubDate>Sat, 29 Nov 2025 20:39:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72365482/008_gnns_at_scale_with_graph_data_science_sampling_and_python_client_integration_nodes2022_c66u_wspz_u.mp3" length="38926803" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/861256a1-c495-4313-ba6b-b50de4d7b0e5/861256a1-c495-4313-ba6b-b50de4d7b0e5.srt" type="application/x-subrip" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/861256a1-c495-4313-ba6b-b50de4d7b0e5/861256a1-c495-4313-ba6b-b50de4d7b0e5.txt" type="text/plain" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/861256a1-c495-4313-ba6b-b50de4d7b0e5/861256a1-c495-4313-ba6b-b50de4d7b0e5.vtt" type="text/vtt" language="it"/><itunes:author>EL POGIO RADIO</itunes:author><itunes:subtitle>This podcast explores how Graph Neural Networks (GNNs) can be scaled for large datasets using graph data science sampling techniques and Python-based workflows. It discusses efficient graph sampling, model training, performance optimization, and...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how Graph Neural Networks (GNNs) can be scaled for large datasets using graph data science sampling techniques and Python-based workflows. It discusses efficient graph sampling, model training, performance optimization, and seamless integration between Neo4j and Python for advanced machine learning applications. Perfect for data scientists, AI engineers, machine learning practitioners, and developers working with large-scale graph analytics.]]></itunes:summary><itunes:duration>2433</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Modern Data Governance</title><link>https://www.spreaker.com/episode/modern-data-governance--72365481</link><description><![CDATA[This podcast explores how Infrastructure as Code (IaC) principles and SchemaSmith can be leveraged to strengthen data governance and data management practices within large organizations. It discusses schema automation, metadata management, data quality, and strategies for maintaining consistency across complex enterprise data ecosystems. Perfect for data architects, governance professionals, engineers, and technology leaders focused on building reliable and scalable data platforms.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72365481</guid><pubDate>Mon, 09 Sep 2024 14:20:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72365481/007_iac_schemasmith_for_data_governance_at_jb_hunt_nodes2022_donovan_bergin_pckk0f_q4dg.mp3" length="38926790" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/ad5643c0-b8b9-4105-99e4-e51a6ce1ab4a/ad5643c0-b8b9-4105-99e4-e51a6ce1ab4a.srt" type="application/x-subrip" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/ad5643c0-b8b9-4105-99e4-e51a6ce1ab4a/ad5643c0-b8b9-4105-99e4-e51a6ce1ab4a.txt" type="text/plain" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/ad5643c0-b8b9-4105-99e4-e51a6ce1ab4a/ad5643c0-b8b9-4105-99e4-e51a6ce1ab4a.vtt" type="text/vtt" language="it"/><itunes:author>EL POGIO RADIO</itunes:author><itunes:subtitle>This podcast explores how Infrastructure as Code (IaC) principles and SchemaSmith can be leveraged to strengthen data governance and data management practices within large organizations. It discusses schema automation, metadata management, data...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how Infrastructure as Code (IaC) principles and SchemaSmith can be leveraged to strengthen data governance and data management practices within large organizations. It discusses schema automation, metadata management, data quality, and strategies for maintaining consistency across complex enterprise data ecosystems. Perfect for data architects, governance professionals, engineers, and technology leaders focused on building reliable and scalable data platforms.]]></itunes:summary><itunes:duration>2433</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI-Powered Face Recognition</title><link>https://www.spreaker.com/episode/ai-powered-face-recognition--72365479</link><description><![CDATA[This podcast explores how facial recognition technologies can be combined with Neo4j to create intelligent systems that analyze and connect visual identity data. It discusses deep learning, face embeddings, graph-based relationship modeling, and practical applications in security, authentication, and identity management. Perfect for AI engineers, data scientists, computer vision enthusiasts, and developers interested in integrating machine learning with graph technology.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72365479</guid><pubDate>Sun, 17 Sep 2023 21:55:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72365479/005_deepface_recognition_with_neo4j_nodes2022_sefik_serengil_grxbmdm4rxs.mp3" length="38926775" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/513c0cf5-d902-4fbb-ad33-b81e4f5d8678/513c0cf5-d902-4fbb-ad33-b81e4f5d8678.srt" type="application/x-subrip" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/513c0cf5-d902-4fbb-ad33-b81e4f5d8678/513c0cf5-d902-4fbb-ad33-b81e4f5d8678.txt" type="text/plain" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/513c0cf5-d902-4fbb-ad33-b81e4f5d8678/513c0cf5-d902-4fbb-ad33-b81e4f5d8678.vtt" type="text/vtt" language="it"/><itunes:author>EL POGIO RADIO</itunes:author><itunes:subtitle>This podcast explores how facial recognition technologies can be combined with Neo4j to create intelligent systems that analyze and connect visual identity data. It discusses deep learning, face embeddings, graph-based relationship modeling, and...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how facial recognition technologies can be combined with Neo4j to create intelligent systems that analyze and connect visual identity data. It discusses deep learning, face embeddings, graph-based relationship modeling, and practical applications in security, authentication, and identity management. Perfect for AI engineers, data scientists, computer vision enthusiasts, and developers interested in integrating machine learning with graph technology.]]></itunes:summary><itunes:duration>2433</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Finding Connections</title><link>https://www.spreaker.com/episode/finding-connections--72365478</link><description><![CDATA[This podcast explores the principles and techniques of graph pattern matching, one of the most powerful capabilities of graph databases and connected data systems. It discusses how patterns are identified across complex networks, how Cypher queries leverage pattern matching, and real-world use cases in fraud detection, recommendations, and knowledge graphs. Perfect for data scientists, developers, analysts, and graph database enthusiasts looking to uncover meaningful relationships hidden within connected data. A]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72365478</guid><pubDate>Sun, 14 May 2023 21:31:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72365478/004_graph_pattern_matching_nodes2022_nadja_m_ller_petra_selmer_noai9y6fwkg.mp3" length="38926779" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/2f573130-7ec2-47e5-8b76-e9f3e598df2c/2f573130-7ec2-47e5-8b76-e9f3e598df2c.srt" type="application/x-subrip" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/2f573130-7ec2-47e5-8b76-e9f3e598df2c/2f573130-7ec2-47e5-8b76-e9f3e598df2c.txt" type="text/plain" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/2f573130-7ec2-47e5-8b76-e9f3e598df2c/2f573130-7ec2-47e5-8b76-e9f3e598df2c.vtt" type="text/vtt" language="it"/><itunes:author>EL POGIO RADIO</itunes:author><itunes:subtitle>This podcast explores the principles and techniques of graph pattern matching, one of the most powerful capabilities of graph databases and connected data systems. It discusses how patterns are identified across complex networks, how Cypher queries...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the principles and techniques of graph pattern matching, one of the most powerful capabilities of graph databases and connected data systems. It discusses how patterns are identified across complex networks, how Cypher queries leverage pattern matching, and real-world use cases in fraud detection, recommendations, and knowledge graphs. Perfect for data scientists, developers, analysts, and graph database enthusiasts looking to uncover meaningful relationships hidden within connected data. A]]></itunes:summary><itunes:duration>2433</itunes:duration><itunes:keywords>ller</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Guided Meditation for Relaxation &amp; Mindfulness</title><link>https://www.spreaker.com/episode/guided-meditation-for-relaxation-mindfulness--72365480</link><description><![CDATA[This podcast offers calming guided meditations designed to help listeners relax, reduce stress, and cultivate mindfulness in their daily lives. Each episode provides gentle guidance, breathing exercises, and reflective moments to promote mental clarity and inner peace. Perfect for anyone seeking relaxation, emotional balance, and a healthier connection between mind and body.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72365480</guid><pubDate>Mon, 27 Feb 2023 11:31:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72365480/009_a_space_to_relax_guided_meditation_amer_nodes2022_anton_persson_jmtzaff69by.mp3" length="38926784" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/37c913e0-8afd-4302-b7d6-fbb0d6929f19/37c913e0-8afd-4302-b7d6-fbb0d6929f19.srt" type="application/x-subrip" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/37c913e0-8afd-4302-b7d6-fbb0d6929f19/37c913e0-8afd-4302-b7d6-fbb0d6929f19.txt" type="text/plain" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/37c913e0-8afd-4302-b7d6-fbb0d6929f19/37c913e0-8afd-4302-b7d6-fbb0d6929f19.vtt" type="text/vtt" language="it"/><itunes:author>EL POGIO RADIO</itunes:author><itunes:subtitle>This podcast offers calming guided meditations designed to help listeners relax, reduce stress, and cultivate mindfulness in their daily lives. Each episode provides gentle guidance, breathing exercises, and reflective moments to promote mental...</itunes:subtitle><itunes:summary><![CDATA[This podcast offers calming guided meditations designed to help listeners relax, reduce stress, and cultivate mindfulness in their daily lives. Each episode provides gentle guidance, breathing exercises, and reflective moments to promote mental clarity and inner peace. Perfect for anyone seeking relaxation, emotional balance, and a healthier connection between mind and body.]]></itunes:summary><itunes:duration>2433</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Kickstart Your Graph Project</title><link>https://www.spreaker.com/episode/kickstart-your-graph-project--72365483</link><description><![CDATA[This podcast explores how Neo4j Workspace can accelerate the creation and development of graph-based projects from concept to implementation. It discusses graph modeling, project setup, visualization, collaboration, and best practices for building connected data applications efficiently. Perfect for developers, data architects, students, and technology professionals looking to streamline graph database development.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72365483</guid><pubDate>Tue, 03 May 2022 15:10:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72365483/006_bootstrapping_your_graph_project_with_neo4j_workspace_nodes2022_gregory_king_8_1ymstxwvs.mp3" length="38926795" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/28250b68-acee-47ac-9772-e5719b17906e/28250b68-acee-47ac-9772-e5719b17906e.srt" type="application/x-subrip" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/28250b68-acee-47ac-9772-e5719b17906e/28250b68-acee-47ac-9772-e5719b17906e.txt" type="text/plain" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/28250b68-acee-47ac-9772-e5719b17906e/28250b68-acee-47ac-9772-e5719b17906e.vtt" type="text/vtt" language="it"/><itunes:author>EL POGIO RADIO</itunes:author><itunes:subtitle>This podcast explores how Neo4j Workspace can accelerate the creation and development of graph-based projects from concept to implementation. It discusses graph modeling, project setup, visualization, collaboration, and best practices for building...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how Neo4j Workspace can accelerate the creation and development of graph-based projects from concept to implementation. It discusses graph modeling, project setup, visualization, collaboration, and best practices for building connected data applications efficiently. Perfect for developers, data architects, students, and technology professionals looking to streamline graph database development.]]></itunes:summary><itunes:duration>2433</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Radio POGIO 1</title><link>https://www.spreaker.com/episode/radio-pogio-1--19214997</link><description><![CDATA[Volevo solamente provare questa radio per vedere come funzionava in questo per me nuovo mondo]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/19214997</guid><pubDate>Tue, 24 Sep 2019 14:47:36 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/19214997/draft_1569382446899928_audio.mp3" length="10883657" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/ae12824e-6fbf-4d43-a45a-77458a74aef0/ae12824e-6fbf-4d43-a45a-77458a74aef0.srt" type="application/x-subrip" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/ae12824e-6fbf-4d43-a45a-77458a74aef0/ae12824e-6fbf-4d43-a45a-77458a74aef0.txt" type="text/plain" language="it"/><podcast:transcript url="https://transcription.spreaker.com/starship/ae12824e-6fbf-4d43-a45a-77458a74aef0/ae12824e-6fbf-4d43-a45a-77458a74aef0.vtt" type="text/vtt" language="it"/><itunes:author>EL POGIO RADIO</itunes:author><itunes:subtitle>Volevo solamente provare questa radio per vedere come funzionava in questo per me nuovo mondo</itunes:subtitle><itunes:summary><![CDATA[Volevo solamente provare questa radio per vedere come funzionava in questo per me nuovo mondo]]></itunes:summary><itunes:duration>681</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/yellow_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
