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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>Ai Talk Show</title><link>https://www.spreaker.com/podcast/ai-talk-show--7051050</link><description><![CDATA[This is a show made for the current information about Ai. Join in every Wednesday!]]></description><atom:link href="https://www.spreaker.com/show/7051050/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Education</category><copyright>Copyright Marthinusbaloyi</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg</url><title>Ai Talk Show</title><link>https://www.spreaker.com/podcast/ai-talk-show--7051050</link></image><lastBuildDate>Sat, 22 Aug 2026 00:24:09 +0000</lastBuildDate><itunes:author>Marthinusbaloyi</itunes:author><itunes:owner><itunes:name>Marthinusbaloyi</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:subtitle>This is a show made for the current information about Ai. Join in every Wednesday!</itunes:subtitle><itunes:summary><![CDATA[This is a show made for the current information about Ai. Join in every Wednesday!]]></itunes:summary><itunes:category text="Education"/><itunes:explicit>false</itunes:explicit><podcast:guid>c9d17031-bfba-5b5c-944d-f557181db72a</podcast:guid><itunes:type>episodic</itunes:type><item><title>The physics of capital allocation</title><link>https://www.spreaker.com/episode/the-physics-of-capital-allocation--72112154</link><description><![CDATA[The Physics of Capital Allocation explores how money, markets, and business decisions follow patterns surprisingly similar to the laws of physics. From momentum and risk to leverage, energy, and equilibrium, this episode breaks down the hidden forces that shape capital flow in startups, corporations, and global economies. Discover how great investors and business leaders allocate resources with precision, adapt to changing environments, and create long-term growth through strategic decision-making.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72112154</guid><pubDate>Sun, 12 Apr 2026 10:36:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72112154/the_physics_of_capital_allocation.mp3" length="32651944" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/a12fb3a1-bec6-4098-a662-e9e9f34af7af/a12fb3a1-bec6-4098-a662-e9e9f34af7af.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/a12fb3a1-bec6-4098-a662-e9e9f34af7af/a12fb3a1-bec6-4098-a662-e9e9f34af7af.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/a12fb3a1-bec6-4098-a662-e9e9f34af7af/a12fb3a1-bec6-4098-a662-e9e9f34af7af.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>The Physics of Capital Allocation explores how money, markets, and business decisions follow patterns surprisingly similar to the laws of physics. From momentum and risk to leverage, energy, and equilibrium, this episode breaks down the hidden forces...</itunes:subtitle><itunes:summary><![CDATA[The Physics of Capital Allocation explores how money, markets, and business decisions follow patterns surprisingly similar to the laws of physics. From momentum and risk to leverage, energy, and equilibrium, this episode breaks down the hidden forces that shape capital flow in startups, corporations, and global economies. Discover how great investors and business leaders allocate resources with precision, adapt to changing environments, and create long-term growth through strategic decision-making.]]></itunes:summary><itunes:duration>2041</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Understanding Lineage, Provenance, and the Journey of Information</title><link>https://www.spreaker.com/episode/understanding-lineage-provenance-and-the-journey-of-information--72562944</link><description><![CDATA[This podcast explores the concept of data lineage and how organizations can trace the origin, transformation, and movement of data across complex systems. It discusses data governance, metadata management, knowledge graphs, and techniques for understanding the complete lifecycle of information within modern data ecosystems. Perfect for data engineers, architects, governance professionals, and analytics leaders seeking greater transparency and trust in their data.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72562944</guid><pubDate>Wed, 28 Sep 2016 01:20:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72562944/091_tracing_your_data_s_dna_nodes2022_james_bowkett_czqop6spd_8.mp3" length="34639759" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/f362a7ee-ba31-439e-9f9c-b7aeaada3bea/f362a7ee-ba31-439e-9f9c-b7aeaada3bea.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/f362a7ee-ba31-439e-9f9c-b7aeaada3bea/f362a7ee-ba31-439e-9f9c-b7aeaada3bea.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/f362a7ee-ba31-439e-9f9c-b7aeaada3bea/f362a7ee-ba31-439e-9f9c-b7aeaada3bea.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores the concept of data lineage and how organizations can trace the origin, transformation, and movement of data across complex systems. It discusses data governance, metadata management, knowledge graphs, and techniques for...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the concept of data lineage and how organizations can trace the origin, transformation, and movement of data across complex systems. It discusses data governance, metadata management, knowledge graphs, and techniques for understanding the complete lifecycle of information within modern data ecosystems. Perfect for data engineers, architects, governance professionals, and analytics leaders seeking greater transparency and trust in their data.]]></itunes:summary><itunes:duration>2165</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Moments of Calm</title><link>https://www.spreaker.com/episode/moments-of-calm--72562943</link><description><![CDATA[This podcast offers calming guided meditation sessions designed to help listeners relax, reduce stress, and cultivate mindfulness in their daily lives. Each episode provides a peaceful space to slow down, focus on the present moment, and improve mental well-being through simple meditation techniques. Perfect for beginners and experienced practitioners seeking balance, clarity, and relaxation.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72562943</guid><pubDate>Mon, 09 May 2016 09:40:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72562943/090_a_space_to_relax_guided_meditation_emea_nodes2022_anton_persson_a_jhdrlmlzk.mp3" length="15519398" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/2ebc5d9b-f962-4c47-be63-b6551e25f193/2ebc5d9b-f962-4c47-be63-b6551e25f193.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2ebc5d9b-f962-4c47-be63-b6551e25f193/2ebc5d9b-f962-4c47-be63-b6551e25f193.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/2ebc5d9b-f962-4c47-be63-b6551e25f193/2ebc5d9b-f962-4c47-be63-b6551e25f193.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast offers calming guided meditation sessions designed to help listeners relax, reduce stress, and cultivate mindfulness in their daily lives. Each episode provides a peaceful space to slow down, focus on the present moment, and improve...</itunes:subtitle><itunes:summary><![CDATA[This podcast offers calming guided meditation sessions designed to help listeners relax, reduce stress, and cultivate mindfulness in their daily lives. Each episode provides a peaceful space to slow down, focus on the present moment, and improve mental well-being through simple meditation techniques. Perfect for beginners and experienced practitioners seeking balance, clarity, and relaxation.]]></itunes:summary><itunes:duration>970</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Connected Farms</title><link>https://www.spreaker.com/episode/connected-farms--72562942</link><description><![CDATA[This podcast explores how graph databases and time-series data can be combined to model complex agricultural environments and farm operations. It discusses farm topology mapping, sensor data integration, equipment monitoring, environmental analytics, and how connected data helps optimize productivity and decision-making in modern agriculture. Perfect for agricultural technologists, data engineers, IoT professionals, and researchers interested in smart farming and connected data systems.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72562942</guid><pubDate>Thu, 15 Oct 2015 09:25:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72562942/092_farm_topologies_and_time_series_data_nodes2022_chris_engelbert_n6ubuagblla.mp3" length="32975878" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/c46c4445-838b-4060-83ea-219d108754e3/c46c4445-838b-4060-83ea-219d108754e3.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/c46c4445-838b-4060-83ea-219d108754e3/c46c4445-838b-4060-83ea-219d108754e3.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/c46c4445-838b-4060-83ea-219d108754e3/c46c4445-838b-4060-83ea-219d108754e3.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores how graph databases and time-series data can be combined to model complex agricultural environments and farm operations. It discusses farm topology mapping, sensor data integration, equipment monitoring, environmental analytics,...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph databases and time-series data can be combined to model complex agricultural environments and farm operations. It discusses farm topology mapping, sensor data integration, equipment monitoring, environmental analytics, and how connected data helps optimize productivity and decision-making in modern agriculture. Perfect for agricultural technologists, data engineers, IoT professionals, and researchers interested in smart farming and connected data systems.]]></itunes:summary><itunes:duration>2061</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Scaling Graphs with Confidence</title><link>https://www.spreaker.com/episode/scaling-graphs-with-confidence--72562941</link><description><![CDATA[This podcast explores the architectural foundations and performance enhancements in Neo4j 5 that enable graph databases to scale efficiently for enterprise workloads. It discusses clustering, storage improvements, query optimization, scalability strategies, and best practices for building high-performance graph applications. Perfect for database administrators, solution architects, developers, and technology leaders looking to deploy Neo4j at scale.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72562941</guid><pubDate>Sat, 09 May 2015 10:15:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72562941/089_neo4j_5_foundations_for_scale_nodes2022_hugo_firth_tobias_johansson_yhceg0txo3a.mp3" length="37249099" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/66cd9f2d-1b6c-4550-b9c3-b26a9ffd029f/66cd9f2d-1b6c-4550-b9c3-b26a9ffd029f.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/66cd9f2d-1b6c-4550-b9c3-b26a9ffd029f/66cd9f2d-1b6c-4550-b9c3-b26a9ffd029f.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/66cd9f2d-1b6c-4550-b9c3-b26a9ffd029f/66cd9f2d-1b6c-4550-b9c3-b26a9ffd029f.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores the architectural foundations and performance enhancements in Neo4j 5 that enable graph databases to scale efficiently for enterprise workloads. It discusses clustering, storage improvements, query optimization, scalability...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the architectural foundations and performance enhancements in Neo4j 5 that enable graph databases to scale efficiently for enterprise workloads. It discusses clustering, storage improvements, query optimization, scalability strategies, and best practices for building high-performance graph applications. Perfect for database administrators, solution architects, developers, and technology leaders looking to deploy Neo4j at scale.]]></itunes:summary><itunes:duration>2329</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Predicting Connections</title><link>https://www.spreaker.com/episode/predicting-connections--72562940</link><description><![CDATA[This podcast explores how graph data science techniques can be used to predict missing or future relationships within large-scale connected datasets. It discusses link prediction algorithms, graph embeddings, feature engineering, machine learning pipelines, and real-world applications in recommendations, fraud detection, social networks, and knowledge graphs. Perfect for data scientists, machine learning engineers, graph practitioners, and analytics professionals looking to apply predictive intelligence to connected data.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72562940</guid><pubDate>Fri, 13 Mar 2015 09:35:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/72562940/087_cymple_cypher_modular_pythonic_language_extension_nodes2022_roei_levi_9s7dsy8lulo.mp3" length="16671182" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/820c32e5-aba6-401d-9915-72ef206a5ba1/820c32e5-aba6-401d-9915-72ef206a5ba1.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/820c32e5-aba6-401d-9915-72ef206a5ba1/820c32e5-aba6-401d-9915-72ef206a5ba1.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/820c32e5-aba6-401d-9915-72ef206a5ba1/820c32e5-aba6-401d-9915-72ef206a5ba1.vtt" type="text/vtt" language="en"/><itunes:author>Marthinusbaloyi</itunes:author><itunes:subtitle>This podcast explores how graph data science techniques can be used to predict missing or future relationships within large-scale connected datasets. It discusses link prediction algorithms, graph embeddings, feature engineering, machine learning...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph data science techniques can be used to predict missing or future relationships within large-scale connected datasets. It discusses link prediction algorithms, graph embeddings, feature engineering, machine learning pipelines, and real-world applications in recommendations, fraud detection, social networks, and knowledge graphs. Perfect for data scientists, machine learning engineers, graph practitioners, and analytics professionals looking to apply predictive intelligence to connected data.]]></itunes:summary><itunes:duration>1042</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/black_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
