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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>Dj Eduardo M.</title><link>https://www.spreaker.com/podcast/dj-eduardo-m--4356384</link><description><![CDATA[Follow me on Ig: @eduardomolinadj <br />Follow me on Fb: Dj Eduardo Molina]]></description><atom:link href="https://www.spreaker.com/show/4356384/episodes/feed" rel="self" type="application/rss+xml"/><language>es</language><category>Music</category><copyright>Copyright Dj Eduardo Molina</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg</url><title>Dj Eduardo M.</title><link>https://www.spreaker.com/podcast/dj-eduardo-m--4356384</link></image><lastBuildDate>Tue, 11 Aug 2026 10:02:57 +0000</lastBuildDate><itunes:author>Dj Eduardo Molina</itunes:author><itunes:owner><itunes:name>Dj Eduardo Molina</itunes:name><itunes:email>feeds@spreaker.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:subtitle>Follow me on Ig: @eduardomolinadj 
Follow me on Fb: Dj Eduardo Molina</itunes:subtitle><itunes:summary><![CDATA[Follow me on Ig: @eduardomolinadj <br />Follow me on Fb: Dj Eduardo Molina]]></itunes:summary><itunes:category text="Music"/><itunes:explicit>false</itunes:explicit><podcast:guid>72dbec60-e591-56df-8c09-79122c5e6f01</podcast:guid><itunes:type>episodic</itunes:type><item><title>Graph Academy</title><link>https://www.spreaker.com/episode/graph-academy--73232127</link><description><![CDATA[This podcast guides aspiring graph professionals through the concepts, skills, and strategies needed to confidently prepare for the Neo4j Certification Exam. It covers graph data modeling, Cypher queries, Neo4j fundamentals, exam preparation techniques, and practical tips to help learners master graph database concepts. Perfect for students, developers, data engineers, and IT professionals looking to validate their Neo4j expertise and advance their careers in graph technology.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73232127</guid><pubDate>Wed, 25 Oct 2023 12:20:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/73232127/utf_8_q_a_graph_learning_journey_ef_bc_9a_pass_the_neo4j_cer_utf_8_q_tification_exam_like_a_pro_2b4ptzs4c3s_mp3.mp3" length="57245516" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/38a8f63c-4cc7-4c77-bda6-c27ced45974d/38a8f63c-4cc7-4c77-bda6-c27ced45974d.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/38a8f63c-4cc7-4c77-bda6-c27ced45974d/38a8f63c-4cc7-4c77-bda6-c27ced45974d.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/38a8f63c-4cc7-4c77-bda6-c27ced45974d/38a8f63c-4cc7-4c77-bda6-c27ced45974d.vtt" type="text/vtt" language="es"/><itunes:author>Dj Eduardo Molina</itunes:author><itunes:subtitle>This podcast guides aspiring graph professionals through the concepts, skills, and strategies needed to confidently prepare for the Neo4j Certification Exam. It covers graph data modeling, Cypher queries, Neo4j fundamentals, exam preparation...</itunes:subtitle><itunes:summary><![CDATA[This podcast guides aspiring graph professionals through the concepts, skills, and strategies needed to confidently prepare for the Neo4j Certification Exam. It covers graph data modeling, Cypher queries, Neo4j fundamentals, exam preparation techniques, and practical tips to help learners master graph database concepts. Perfect for students, developers, data engineers, and IT professionals looking to validate their Neo4j expertise and advance their careers in graph technology.]]></itunes:summary><itunes:duration>3578</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Unmasking Hidden Connections</title><link>https://www.spreaker.com/episode/unmasking-hidden-connections--73232126</link><description><![CDATA[This podcast explores how graph-based entity resolution helps uncover hidden relationships between people, organizations, devices, and events to detect fraud, cybercrime, and other malicious activities. Featuring insights from Paco Nathan, it discusses identity resolution, graph analytics, machine learning, and connected data techniques that enable investigators to identify suspicious patterns with greater accuracy. Perfect for cybersecurity professionals, fraud analysts, data scientists, law enforcement, and AI practitioners interested in graph-powered investigative intelligence.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73232126</guid><pubDate>Fri, 28 Oct 2022 12:45:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/73232126/catching_bad_guys_using_graph_entity_resolution_with_paco_nathan_iagfohzx4_k.mp3" length="57245508" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/b47b2d62-0f0b-481e-b4e5-c0301cba97cf/b47b2d62-0f0b-481e-b4e5-c0301cba97cf.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/b47b2d62-0f0b-481e-b4e5-c0301cba97cf/b47b2d62-0f0b-481e-b4e5-c0301cba97cf.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/b47b2d62-0f0b-481e-b4e5-c0301cba97cf/b47b2d62-0f0b-481e-b4e5-c0301cba97cf.vtt" type="text/vtt" language="es"/><itunes:author>Dj Eduardo Molina</itunes:author><itunes:subtitle>This podcast explores how graph-based entity resolution helps uncover hidden relationships between people, organizations, devices, and events to detect fraud, cybercrime, and other malicious activities. Featuring insights from Paco Nathan, it...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph-based entity resolution helps uncover hidden relationships between people, organizations, devices, and events to detect fraud, cybercrime, and other malicious activities. Featuring insights from Paco Nathan, it discusses identity resolution, graph analytics, machine learning, and connected data techniques that enable investigators to identify suspicious patterns with greater accuracy. Perfect for cybersecurity professionals, fraud analysts, data scientists, law enforcement, and AI practitioners interested in graph-powered investigative intelligence.]]></itunes:summary><itunes:duration>3578</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>A Fika Chat with Amy Hodler and Weidong Yang</title><link>https://www.spreaker.com/episode/a-fika-chat-with-amy-hodler-and-weidong-yang--73232129</link><description><![CDATA[This podcast features an engaging conversation with Amy Hodler and Weidong Yang, exploring the latest developments in graph technology, artificial intelligence, and connected data. Through insightful discussion, they share industry experiences, emerging trends, practical applications, and the future of knowledge graphs across research and enterprise environments. Perfect for data scientists, AI practitioners, software engineers, and technology leaders looking to learn from experienced voices in the graph community.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73232129</guid><pubDate>Thu, 24 Sep 2020 16:40:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/73232129/fika_interview_with_amy_hodler_and_weidong_yang_7orrd6bxoz4.mp3" length="57245491" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/d262f325-19fb-4906-8813-96c43802cbc2/d262f325-19fb-4906-8813-96c43802cbc2.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/d262f325-19fb-4906-8813-96c43802cbc2/d262f325-19fb-4906-8813-96c43802cbc2.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/d262f325-19fb-4906-8813-96c43802cbc2/d262f325-19fb-4906-8813-96c43802cbc2.vtt" type="text/vtt" language="es"/><itunes:author>Dj Eduardo Molina</itunes:author><itunes:subtitle>This podcast features an engaging conversation with Amy Hodler and Weidong Yang, exploring the latest developments in graph technology, artificial intelligence, and connected data. Through insightful discussion, they share industry experiences,...</itunes:subtitle><itunes:summary><![CDATA[This podcast features an engaging conversation with Amy Hodler and Weidong Yang, exploring the latest developments in graph technology, artificial intelligence, and connected data. Through insightful discussion, they share industry experiences, emerging trends, practical applications, and the future of knowledge graphs across research and enterprise environments. Perfect for data scientists, AI practitioners, software engineers, and technology leaders looking to learn from experienced voices in the graph community.]]></itunes:summary><itunes:duration>3578</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Docker, AI, and the Future of Java Development</title><link>https://www.spreaker.com/episode/docker-ai-and-the-future-of-java-development--73232125</link><description><![CDATA[This podcast explores the latest innovations shaping the Java ecosystem, from containerization with Docker to the growing influence of artificial intelligence in modern software development. Featuring insights from Oleg Šelajev, it discusses cloud-native development, developer tools, emerging Java frameworks, and best practices for building scalable, AI-enabled applications. Perfect for Java developers, software architects, DevOps engineers, and technology enthusiasts who want to stay current with the rapidly evolving Java landscape.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73232125</guid><pubDate>Fri, 24 Apr 2020 12:50:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/73232125/utf_8_q_docker_ai_and_more_ef_bc_9a_catch_a_glimpse_of_the_java_eco_utf_8_q_system_with_oleg_c5_a0elajev_july_2024_hcjmhpojzn0_mp3.mp3" length="57245536" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/c339a4a8-3421-426e-9829-3d0da6673c5f/c339a4a8-3421-426e-9829-3d0da6673c5f.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/c339a4a8-3421-426e-9829-3d0da6673c5f/c339a4a8-3421-426e-9829-3d0da6673c5f.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/c339a4a8-3421-426e-9829-3d0da6673c5f/c339a4a8-3421-426e-9829-3d0da6673c5f.vtt" type="text/vtt" language="es"/><itunes:author>Dj Eduardo Molina</itunes:author><itunes:subtitle>This podcast explores the latest innovations shaping the Java ecosystem, from containerization with Docker to the growing influence of artificial intelligence in modern software development. Featuring insights from Oleg Šelajev, it discusses...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the latest innovations shaping the Java ecosystem, from containerization with Docker to the growing influence of artificial intelligence in modern software development. Featuring insights from Oleg Šelajev, it discusses cloud-native development, developer tools, emerging Java frameworks, and best practices for building scalable, AI-enabled applications. Perfect for Java developers, software architects, DevOps engineers, and technology enthusiasts who want to stay current with the rapidly evolving Java landscape.]]></itunes:summary><itunes:duration>3578</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Connected Intelligence</title><link>https://www.spreaker.com/episode/connected-intelligence--73231794</link><description><![CDATA[This podcast reflects on the biggest breakthroughs of 2023 at the intersection of large language models (LLMs) and knowledge graphs, highlighting how these technologies are transforming AI applications. It explores advances in retrieval-augmented generation (RAG), semantic search, graph-enhanced reasoning, enterprise AI, and the growing role of knowledge graphs in making LLMs more accurate, explainable, and context-aware. Perfect for AI engineers, data scientists, software developers, and technology leaders interested in the future of intelligent systems.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73231794</guid><pubDate>Wed, 20 Feb 2019 11:39:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/73231794/utf_8_q_2023_finale_ef_bc_9a_llms_and_knowled_utf_8_q_ge_graphs_throughout_the_year_utf_8_q_season_2_episode_11_december_2023_ajvtdmmr3os_mp3.mp3" length="57245405" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/ea88e8b6-1a40-402a-a712-163ff71f02a6/ea88e8b6-1a40-402a-a712-163ff71f02a6.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/ea88e8b6-1a40-402a-a712-163ff71f02a6/ea88e8b6-1a40-402a-a712-163ff71f02a6.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/ea88e8b6-1a40-402a-a712-163ff71f02a6/ea88e8b6-1a40-402a-a712-163ff71f02a6.vtt" type="text/vtt" language="es"/><itunes:author>Dj Eduardo Molina</itunes:author><itunes:subtitle>This podcast reflects on the biggest breakthroughs of 2023 at the intersection of large language models (LLMs) and knowledge graphs, highlighting how these technologies are transforming AI applications. It explores advances in retrieval-augmented...</itunes:subtitle><itunes:summary><![CDATA[This podcast reflects on the biggest breakthroughs of 2023 at the intersection of large language models (LLMs) and knowledge graphs, highlighting how these technologies are transforming AI applications. It explores advances in retrieval-augmented generation (RAG), semantic search, graph-enhanced reasoning, enterprise AI, and the growing role of knowledge graphs in making LLMs more accurate, explainable, and context-aware. Perfect for AI engineers, data scientists, software developers, and technology leaders interested in the future of intelligent systems.]]></itunes:summary><itunes:duration>3578</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Year's Biggest Tech Highlights and Insights</title><link>https://www.spreaker.com/episode/the-year-s-biggest-tech-highlights-and-insights--73232130</link><description><![CDATA[This podcast revisits the most memorable moments, groundbreaking innovations, and standout discussions from 2024 across artificial intelligence, knowledge graphs, data science, and emerging technologies. It highlights key trends, influential conversations, and the lessons that shaped the year while looking ahead to what's next for the tech community. Perfect for developers, AI enthusiasts, data professionals, and anyone who wants a concise review of the year's biggest breakthroughs.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73232130</guid><pubDate>Mon, 20 Feb 2017 08:20:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/73232130/utf_8_q_2024_recap_ef_bc_9a_favorite_highlights_xwu6xpy_3si_mp3.mp3" length="57245478" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/d46039b8-729c-48b2-a0a1-ec2878c3e545/d46039b8-729c-48b2-a0a1-ec2878c3e545.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/d46039b8-729c-48b2-a0a1-ec2878c3e545/d46039b8-729c-48b2-a0a1-ec2878c3e545.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/d46039b8-729c-48b2-a0a1-ec2878c3e545/d46039b8-729c-48b2-a0a1-ec2878c3e545.vtt" type="text/vtt" language="es"/><itunes:author>Dj Eduardo Molina</itunes:author><itunes:subtitle>This podcast revisits the most memorable moments, groundbreaking innovations, and standout discussions from 2024 across artificial intelligence, knowledge graphs, data science, and emerging technologies. It highlights key trends, influential...</itunes:subtitle><itunes:summary><![CDATA[This podcast revisits the most memorable moments, groundbreaking innovations, and standout discussions from 2024 across artificial intelligence, knowledge graphs, data science, and emerging technologies. It highlights key trends, influential conversations, and the lessons that shaped the year while looking ahead to what's next for the tech community. Perfect for developers, AI enthusiasts, data professionals, and anyone who wants a concise review of the year's biggest breakthroughs.]]></itunes:summary><itunes:duration>3578</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Rise of Streaming Giants</title><link>https://www.spreaker.com/episode/the-rise-of-streaming-giants--73066890</link><description><![CDATA[From binge-worthy originals to global audiences, streaming platforms have transformed entertainment. This episode explores how the streaming revolution is changing what we watch and how stories are told.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73066890</guid><pubDate>Wed, 11 Jan 2017 08:05:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/73066890/your_post_work_sonic_downshift.mp3" length="17521821" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/1c4757be-8f54-4fdd-82d3-29b9f294399f/1c4757be-8f54-4fdd-82d3-29b9f294399f.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/1c4757be-8f54-4fdd-82d3-29b9f294399f/1c4757be-8f54-4fdd-82d3-29b9f294399f.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/1c4757be-8f54-4fdd-82d3-29b9f294399f/1c4757be-8f54-4fdd-82d3-29b9f294399f.vtt" type="text/vtt" language="es"/><itunes:author>Dj Eduardo Molina</itunes:author><itunes:subtitle>From binge-worthy originals to global audiences, streaming platforms have transformed entertainment. This episode explores how the streaming revolution is changing what we watch and how stories are told.</itunes:subtitle><itunes:summary><![CDATA[From binge-worthy originals to global audiences, streaming platforms have transformed entertainment. This episode explores how the streaming revolution is changing what we watch and how stories are told.]]></itunes:summary><itunes:duration>1096</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Blockchain Decoded</title><link>https://www.spreaker.com/episode/blockchain-decoded--73232128</link><description><![CDATA[This podcast explores the complete blockchain ecosystem through the lens of data science, uncovering how connected data, analytics, and machine learning reveal insights across decentralized networks. It discusses blockchain architecture, transaction analysis, network intelligence, fraud detection, token ecosystems, and emerging trends shaping Web3 technologies. Perfect for blockchain developers, data scientists, researchers, fintech professionals, and technology enthusiasts seeking a deeper understanding of blockchain through data-driven perspectives.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73232128</guid><pubDate>Mon, 05 Mar 2012 14:35:00 +0000</pubDate><enclosure url="https://dts.podtrac.com/redirect.mp3/api.spreaker.com/download/episode/73232128/a_holistic_view_of_the_entire_blockchain_ecosystem_with_a_focus_on_data_science_for_blockchain_2kqcsnpmtti.mp3" length="57245538" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/3641af23-813f-491b-b40a-2023bb80b6b9/3641af23-813f-491b-b40a-2023bb80b6b9.srt" type="application/x-subrip" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/3641af23-813f-491b-b40a-2023bb80b6b9/3641af23-813f-491b-b40a-2023bb80b6b9.txt" type="text/plain" language="es"/><podcast:transcript url="https://transcription.spreaker.com/starship/3641af23-813f-491b-b40a-2023bb80b6b9/3641af23-813f-491b-b40a-2023bb80b6b9.vtt" type="text/vtt" language="es"/><itunes:author>Dj Eduardo Molina</itunes:author><itunes:subtitle>This podcast explores the complete blockchain ecosystem through the lens of data science, uncovering how connected data, analytics, and machine learning reveal insights across decentralized networks. It discusses blockchain architecture, transaction...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores the complete blockchain ecosystem through the lens of data science, uncovering how connected data, analytics, and machine learning reveal insights across decentralized networks. It discusses blockchain architecture, transaction analysis, network intelligence, fraud detection, token ecosystems, and emerging trends shaping Web3 technologies. Perfect for blockchain developers, data scientists, researchers, fintech professionals, and technology enthusiasts seeking a deeper understanding of blockchain through data-driven perspectives.]]></itunes:summary><itunes:duration>3578</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/781b9f53acad31b6778e1f80c8857164.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
