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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>Flavor Talks</title><link>https://www.spreaker.com/podcast/flavor-talks--7062200</link><description><![CDATA[This podcast explores food, cooking, and the stories behind different cuisines from around the world. It features conversations about recipes, food culture, and culinary experiences. Perfect for food lovers, home cooks, and anyone passionate about great meals.]]></description><atom:link href="https://www.spreaker.com/show/7062200/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Food</category><copyright>Copyright Yusuf Çelikçi</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg</url><title>Flavor Talks</title><link>https://www.spreaker.com/podcast/flavor-talks--7062200</link></image><lastBuildDate>Wed, 17 Jun 2026 10:00:53 +0000</lastBuildDate><itunes:author>Yusuf Çelikçi</itunes:author><itunes:owner><itunes:name>Yusuf Çelikçi</itunes:name><itunes:email>celikciyusuf1907@gmail.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:subtitle>This podcast explores food, cooking, and the stories behind different cuisines from around the world. It features conversations about recipes, food culture, and culinary experiences. Perfect for food lovers, home cooks, and anyone passionate about...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores food, cooking, and the stories behind different cuisines from around the world. It features conversations about recipes, food culture, and culinary experiences. Perfect for food lovers, home cooks, and anyone passionate about great meals.]]></itunes:summary><itunes:category text="Arts"><itunes:category text="Food"/></itunes:category><itunes:explicit>false</itunes:explicit><itunes:type>episodic</itunes:type><item><title>Smart Drink Discovery</title><link>https://www.spreaker.com/episode/smart-drink-discovery--72293262</link><description><![CDATA[This podcast explores how graph databases and data analytics can help people discover beverages that match their tastes and preferences. It discusses recommendation systems, connected data, and the use of Neo4j to uncover relationships between flavors, ingredients, and consumer choices. Perfect for technology enthusiasts, data professionals, and beverage lovers interested in the intersection of analytics and personalized recommendations.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72293262</guid><pubDate>Sat, 20 Jan 2024 02:10:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72293262/39_malt_aware_discovering_what_to_drink_with_neo4j_cu7brqgvzlg.mp3" length="47206537" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/3e18336c-5649-4fc0-b2fa-1bf1abb1f352/3e18336c-5649-4fc0-b2fa-1bf1abb1f352.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/3e18336c-5649-4fc0-b2fa-1bf1abb1f352/3e18336c-5649-4fc0-b2fa-1bf1abb1f352.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/3e18336c-5649-4fc0-b2fa-1bf1abb1f352/3e18336c-5649-4fc0-b2fa-1bf1abb1f352.vtt" type="text/vtt" language="en"/><itunes:author>Yusuf Çelikçi</itunes:author><itunes:subtitle>This podcast explores how graph databases and data analytics can help people discover beverages that match their tastes and preferences. It discusses recommendation systems, connected data, and the use of Neo4j to uncover relationships between...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph databases and data analytics can help people discover beverages that match their tastes and preferences. It discusses recommendation systems, connected data, and the use of Neo4j to uncover relationships between flavors, ingredients, and consumer choices. Perfect for technology enthusiasts, data professionals, and beverage lovers interested in the intersection of analytics and personalized recommendations.]]></itunes:summary><itunes:duration>2951</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Mapping Skills, Learning &amp; Career Growth</title><link>https://www.spreaker.com/episode/mapping-skills-learning-career-growth--72293261</link><description><![CDATA[This podcast explores how knowledge graphs can be used to map and connect an individual's knowledge, skills, abilities, tasks, and training experiences. It discusses career intelligence, workforce development, and methods for visualizing personal and organizational competencies through connected data. Perfect for HR professionals, learning and development specialists, career coaches, data practitioners, and anyone interested in skill-based growth and knowledge management.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72293261</guid><pubDate>Sat, 16 Dec 2023 13:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72293261/37_developing_a_knowledge_graph_of_your_knowledge_skills_abilities_tasks_and_training_ksatt_3e1gzhqling.mp3" length="35689996" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/88198e16-21d9-48d8-8e1a-216e47f0541b/88198e16-21d9-48d8-8e1a-216e47f0541b.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/88198e16-21d9-48d8-8e1a-216e47f0541b/88198e16-21d9-48d8-8e1a-216e47f0541b.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/88198e16-21d9-48d8-8e1a-216e47f0541b/88198e16-21d9-48d8-8e1a-216e47f0541b.vtt" type="text/vtt" language="en"/><itunes:author>Yusuf Çelikçi</itunes:author><itunes:subtitle>This podcast explores how knowledge graphs can be used to map and connect an individual's knowledge, skills, abilities, tasks, and training experiences. It discusses career intelligence, workforce development, and methods for visualizing personal and...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how knowledge graphs can be used to map and connect an individual's knowledge, skills, abilities, tasks, and training experiences. It discusses career intelligence, workforce development, and methods for visualizing personal and organizational competencies through connected data. Perfect for HR professionals, learning and development specialists, career coaches, data practitioners, and anyone interested in skill-based growth and knowledge management.]]></itunes:summary><itunes:duration>2231</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Real-Time Graph Streaming</title><link>https://www.spreaker.com/episode/real-time-graph-streaming--72293260</link><description><![CDATA[This podcast explores how to build high-performance, low-latency data streaming pipelines using Kafka, Neo4j, and Google Cloud. It discusses real-time data integration, event-driven architectures, and best practices for processing and analyzing connected data at scale. Perfect for data engineers, cloud architects, developers, and technology professionals interested in modern streaming and graph data solutions.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72293260</guid><pubDate>Thu, 14 Sep 2023 14:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72293260/40_low_latency_kafka_to_neo4j_data_streaming_on_google_cloud_lwnjozcpq1k.mp3" length="17303236" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/e4219dc9-3834-4229-8916-5b70831152d6/e4219dc9-3834-4229-8916-5b70831152d6.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/e4219dc9-3834-4229-8916-5b70831152d6/e4219dc9-3834-4229-8916-5b70831152d6.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/e4219dc9-3834-4229-8916-5b70831152d6/e4219dc9-3834-4229-8916-5b70831152d6.vtt" type="text/vtt" language="en"/><itunes:author>Yusuf Çelikçi</itunes:author><itunes:subtitle>This podcast explores how to build high-performance, low-latency data streaming pipelines using Kafka, Neo4j, and Google Cloud. It discusses real-time data integration, event-driven architectures, and best practices for processing and analyzing...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how to build high-performance, low-latency data streaming pipelines using Kafka, Neo4j, and Google Cloud. It discusses real-time data integration, event-driven architectures, and best practices for processing and analyzing connected data at scale. Perfect for data engineers, cloud architects, developers, and technology professionals interested in modern streaming and graph data solutions.]]></itunes:summary><itunes:duration>1082</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Mastering Culinary Creativity</title><link>https://www.spreaker.com/episode/mastering-culinary-creativity--72186790</link><description><![CDATA[This material examines the creative processes behind developing exceptional culinary profiles and memorable dining experiences. It highlights how skilled professionals and home cooks alike transform basic components into remarkable dishes by prioritizing balance and ingenuity.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72186790</guid><pubDate>Tue, 22 Aug 2023 17:01:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72186790/the_architecture_of_flavor.mp3" length="18878099" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/3dc862bc-46bd-4df7-8502-1896c576935c/3dc862bc-46bd-4df7-8502-1896c576935c.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/3dc862bc-46bd-4df7-8502-1896c576935c/3dc862bc-46bd-4df7-8502-1896c576935c.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/3dc862bc-46bd-4df7-8502-1896c576935c/3dc862bc-46bd-4df7-8502-1896c576935c.vtt" type="text/vtt" language="en"/><itunes:author>Yusuf Çelikçi</itunes:author><itunes:subtitle>This material examines the creative processes behind developing exceptional culinary profiles and memorable dining experiences. It highlights how skilled professionals and home cooks alike transform basic components into remarkable dishes by...</itunes:subtitle><itunes:summary><![CDATA[This material examines the creative processes behind developing exceptional culinary profiles and memorable dining experiences. It highlights how skilled professionals and home cooks alike transform basic components into remarkable dishes by prioritizing balance and ingenuity.]]></itunes:summary><itunes:duration>1180</itunes:duration><itunes:keywords>food</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Traceability, Compliance &amp; Food Safety</title><link>https://www.spreaker.com/episode/traceability-compliance-food-safety--72293257</link><description><![CDATA[This podcast explores how graph algorithms can be used to verify halal compliance across complex food production and supply chain networks. It discusses traceability, relationship analysis, and the use of connected data to identify ingredients, suppliers, and processes that may impact halal certification. Perfect for data scientists, food industry professionals, compliance specialists, and technology enthusiasts interested in applying graph analytics to real-world challenges.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72293257</guid><pubDate>Wed, 10 May 2023 09:05:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72293257/41_halal_detection_using_graph_algorithm_x3pki_b0ffg.mp3" length="18465560" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/9d8e348d-5070-4c06-b04f-19c7022ed3aa/9d8e348d-5070-4c06-b04f-19c7022ed3aa.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/9d8e348d-5070-4c06-b04f-19c7022ed3aa/9d8e348d-5070-4c06-b04f-19c7022ed3aa.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/9d8e348d-5070-4c06-b04f-19c7022ed3aa/9d8e348d-5070-4c06-b04f-19c7022ed3aa.vtt" type="text/vtt" language="en"/><itunes:author>Yusuf Çelikçi</itunes:author><itunes:subtitle>This podcast explores how graph algorithms can be used to verify halal compliance across complex food production and supply chain networks. It discusses traceability, relationship analysis, and the use of connected data to identify ingredients,...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph algorithms can be used to verify halal compliance across complex food production and supply chain networks. It discusses traceability, relationship analysis, and the use of connected data to identify ingredients, suppliers, and processes that may impact halal certification. Perfect for data scientists, food industry professionals, compliance specialists, and technology enthusiasts interested in applying graph analytics to real-world challenges.]]></itunes:summary><itunes:duration>1155</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Graph-Powered Drug Discovery</title><link>https://www.spreaker.com/episode/graph-powered-drug-discovery--72293256</link><description><![CDATA[This podcast explores how graph data science is transforming drug discovery by modeling molecules as interconnected networks of atoms and chemical bonds. It discusses the use of graph algorithms, machine learning, and AI techniques to identify promising drug candidates and uncover hidden biological relationships. Perfect for data scientists, pharmaceutical researchers, bioinformaticians, and technology enthusiasts interested in the future of healthcare innovation.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72293256</guid><pubDate>Mon, 06 Feb 2023 04:04:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72293256/43_molecules_are_graphs_graph_data_science_for_drug_discovery_ka7bpegkr7c.mp3" length="42349442" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/11ca2d6b-02fc-4d7c-829d-caa3fed8235d/11ca2d6b-02fc-4d7c-829d-caa3fed8235d.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/11ca2d6b-02fc-4d7c-829d-caa3fed8235d/11ca2d6b-02fc-4d7c-829d-caa3fed8235d.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/11ca2d6b-02fc-4d7c-829d-caa3fed8235d/11ca2d6b-02fc-4d7c-829d-caa3fed8235d.vtt" type="text/vtt" language="en"/><itunes:author>Yusuf Çelikçi</itunes:author><itunes:subtitle>This podcast explores how graph data science is transforming drug discovery by modeling molecules as interconnected networks of atoms and chemical bonds. It discusses the use of graph algorithms, machine learning, and AI techniques to identify...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph data science is transforming drug discovery by modeling molecules as interconnected networks of atoms and chemical bonds. It discusses the use of graph algorithms, machine learning, and AI techniques to identify promising drug candidates and uncover hidden biological relationships. Perfect for data scientists, pharmaceutical researchers, bioinformaticians, and technology enthusiasts interested in the future of healthcare innovation.]]></itunes:summary><itunes:duration>2647</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Enterprise Metadata Mastery</title><link>https://www.spreaker.com/episode/enterprise-metadata-mastery--72293258</link><description><![CDATA[This podcast explores how organizations can leverage Neo4j to manage, organize, and gain insights from enterprise metadata. It discusses data governance, metadata relationships, and the role of graph technology in improving data discovery, quality, and decision-making. Perfect for data architects, business analysts, IT leaders, and professionals working with enterprise data ecosystems.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72293258</guid><pubDate>Sat, 26 Nov 2022 06:30:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72293258/38_mastering_enterprise_metadata_with_neo4j_8flur0j9rku.mp3" length="37144995" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/f3ea36fe-5bda-4e72-8d33-101a3e075264/f3ea36fe-5bda-4e72-8d33-101a3e075264.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/f3ea36fe-5bda-4e72-8d33-101a3e075264/f3ea36fe-5bda-4e72-8d33-101a3e075264.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/f3ea36fe-5bda-4e72-8d33-101a3e075264/f3ea36fe-5bda-4e72-8d33-101a3e075264.vtt" type="text/vtt" language="en"/><itunes:author>Yusuf Çelikçi</itunes:author><itunes:subtitle>This podcast explores how organizations can leverage Neo4j to manage, organize, and gain insights from enterprise metadata. It discusses data governance, metadata relationships, and the role of graph technology in improving data discovery, quality,...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how organizations can leverage Neo4j to manage, organize, and gain insights from enterprise metadata. It discusses data governance, metadata relationships, and the role of graph technology in improving data discovery, quality, and decision-making. Perfect for data architects, business analysts, IT leaders, and professionals working with enterprise data ecosystems.]]></itunes:summary><itunes:duration>2322</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Accelerating Drug Discovery &amp; Machine Learning</title><link>https://www.spreaker.com/episode/accelerating-drug-discovery-machine-learning--72293259</link><description><![CDATA[This podcast explores how graph databases accelerate machine learning initiatives in the pharmaceutical industry by revealing complex relationships within biological, clinical, and research data. It discusses graph-powered analytics, drug discovery, predictive modeling, and the integration of connected data into AI workflows. Perfect for data scientists, pharmaceutical researchers, AI practitioners, and technology leaders interested in advancing healthcare innovation through graph technology.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72293259</guid><pubDate>Tue, 12 Apr 2022 17:07:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72293259/44_graph_database_as_catalyzer_from_machine_learning_in_pharma_nq_n_bb_b_s.mp3" length="16440570" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/897f8eb7-a0e4-48a2-9fca-41a802bb1059/897f8eb7-a0e4-48a2-9fca-41a802bb1059.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/897f8eb7-a0e4-48a2-9fca-41a802bb1059/897f8eb7-a0e4-48a2-9fca-41a802bb1059.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/897f8eb7-a0e4-48a2-9fca-41a802bb1059/897f8eb7-a0e4-48a2-9fca-41a802bb1059.vtt" type="text/vtt" language="en"/><itunes:author>Yusuf Çelikçi</itunes:author><itunes:subtitle>This podcast explores how graph databases accelerate machine learning initiatives in the pharmaceutical industry by revealing complex relationships within biological, clinical, and research data. It discusses graph-powered analytics, drug discovery,...</itunes:subtitle><itunes:summary><![CDATA[This podcast explores how graph databases accelerate machine learning initiatives in the pharmaceutical industry by revealing complex relationships within biological, clinical, and research data. It discusses graph-powered analytics, drug discovery, predictive modeling, and the integration of connected data into AI workflows. Perfect for data scientists, pharmaceutical researchers, AI practitioners, and technology leaders interested in advancing healthcare innovation through graph technology.]]></itunes:summary><itunes:duration>1028</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/images.spreaker.com/nuvolari-assets/green_square_mic.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
