We talk about data, cloud, analytics, and AI/ML/BI with different expert guests and different hosts, in different segment formats.<hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
Podcast Overview
We talk about data, cloud, analytics, and AI/ML/BI with different expert guests and different hosts, in different segment formats.<hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
Language
🇺🇲
Publishing Since
4/6/2022
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Recent Episodes
December 3, 2023
Data Journey with Chris Tynan (DistroKid) - Data & AI in large-scale music distribution to Spotify, Apple, Google and more
<p><a href="https://www.linkedin.com/in/chris-tynan-38533211/?originalSubdomain=uk" rel="noopener noreferrer" target="_blank">Chris Tynan</a> lives in London (the UK) and works as a Director of Data at DistroKid. Before joining DistroKid, Chris had been working at intersection of music, data and tech at Utopia Music and Spotify, as well as as a Lead Data Scientist in the UK Government Administration.</p><br><p><a href="https://distrokid.com/" rel="noopener noreferrer" target="_blank">DistroKid</a> is is the world’s largest music distributor to Spotify, Apple, Amazon, Tidal, TikTok, YouTube and all major streaming services. Most new music today is released through DistroKid and every day, millions of musicians rely on its products.</p><br><p>Topics that we talk about include:</p><p><br></p><ul><li>What DistroKid is, who uses it and how it works</li><li>Data collected and analysed by DistroKid</li><li>ML and AI in music distribution e.g. detecting bad actors</li><li>Generative AI in the music industry e.g. deepfake voice</li><li>Democratisation of music creation with Generative AI, mobile devices, social media</li><li>Tech and ML/AI stack used and evaluated by DistroKid e.g. AWS, Redshift, dbt, Redash, Whisper, Amazon Rekognition</li><li>Very interesting tools in the ML/AI landscape e.g. Hugging Face, <a href="https://modal.com/" rel="noopener noreferrer" target="_blank">Modal</a></li><li>What makes working at DistroKid unique</li></ul><p><br></p><p>The podcast was recorded by <a href="https://www.linkedin.com/in/adamkawa/" rel="noopener noreferrer" target="_blank">Adam Kawa</a> (<a href="https://getindata.com/" rel="noopener noreferrer" target="_blank">GetInData</a>). <strong>Find more</strong> about our <strong>data</strong>, <strong>analytics</strong>, <strong>ML/AI</strong>, <strong>cloud</strong>, and <strong>MLOps</strong> projects and services at <a href="https://getindata.com/" rel="noopener noreferrer" target="_blank">getindata.com</a>.</p><br><p><strong>Subscribe to Radio Data</strong> on<a href="https://open.spotify.com/show/4BZj15LtVmk1e8mcCgh9KH?si=bc5a160bd513437d" rel="noopener noreferrer" target="_blank"> Spotify</a> to get notifications about future podcast episodes.</p><br /><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
November 12, 2023
Data Update with Michał Rudko (GetInData) - Data Management, Data Governance, Data Quality, Data Discovery and Observability. How could you and your organization get involved in this topic?
<p>What's data management? How does it relate to data governance, data observability, and other similar terms? In this episode, we'll try to lay out what you should know about modern data management and how you and your organization could get involved in this topic.</p><br><p>Topics that the podcast includes:</p><ul><li>What Data Management is? How does it relate to data governance, data observability, and other similar terms?</li><li>Why do we care about Data Management?</li><li>What does it take to introduce data management in the organization?</li><li>How do we get from an AS-IS situation to a desired well-managed data environment?</li></ul><p><br></p><p>This podcast episode was recorded by <a href="https://www.linkedin.com/in/michalrudko/" rel="noopener noreferrer" target="_blank">Michał Rudko</a>, Data Architect (<a href="https://getindata.com/" rel="noopener noreferrer" target="_blank">GetInData | Part of Xebia</a>).</p><br><p><br></p><p>Do you want to read more about the topics? Check "<a href="https://bit.ly/47fyPYE" rel="noopener noreferrer" target="_blank">Data Democratization Through Data Management</a>" White Paper written by Michał Rudko</p><br /><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
November 1, 2023
Data Journey with Agnieszka Bomersbach (Pleo) - Data, engineering and analytics at Pleo
<p><a href="https://www.linkedin.com/in/bomersbach/" rel="noopener noreferrer" target="_blank">Agnieszka Bomersbach</a> lives in Uppsala (Sweden) and works as a Staff Data Engineer at Pleo. Before joining Pleo, Agnieszka had been working at Acast and Skyscanner and she has graduated from the University of Edinburgh with Masters in Artificial Intelligence.</p><br><p><a href="https://www.pleo.io/en" rel="noopener noreferrer" target="_blank">Pleo</a> is a fintech scaleup from Denmark that builds is a cloud-based solution for managing company spending and automating expense reporting, using virtual and physical company cards. Today, Pleo is used and trusted by 25,000+ customers across Europe.</p><br><p>Topics that we talk about include:</p><p><br></p><ul><li>What Pleo is, who uses it and how it works</li><li>How data is collected and utilized by Pleo</li><li>Data analytics use-cases implemented at Pleo</li><li>Pleo's data tech stack, Including GCP, BigQuery, Kafka, Metabase, and Looker</li><li>Pleo's approach to Generative AI</li><li>Focus for the upcoming months</li><li>Evaluation criteria for deciding between open-source and proprietary technology</li><li>Differences in working with data at Pleo, Acast, and Skyscanner</li></ul><p><br></p><p>The podcast was recorded by <a href="https://www.linkedin.com/in/adamkawa/" rel="noopener noreferrer" target="_blank">Adam Kawa</a> (<a href="https://getindata.com/" rel="noopener noreferrer" target="_blank">GetInData</a>). <strong>Find more</strong> about our <strong>data</strong>, <strong>analytics</strong>, <strong>cloud</strong>, and <strong>MLOps</strong> projects and services at <a href="https://getindata.com/" rel="noopener noreferrer" target="_blank">getindata.com</a>.</p><br><p><strong>Subscribe to Radio Data</strong> on<a href="https://open.spotify.com/show/4BZj15LtVmk1e8mcCgh9KH?si=bc5a160bd513437d" rel="noopener noreferrer" target="_blank"> Spotify</a> to get notifications about future podcast episodes.</p><br /><hr><p style='color:grey; font-size:0.75em;'> Hosted on Acast. See <a style='color:grey;' target='_blank' rel='noopener noreferrer' href='https://acast.com/privacy'>acast.com/privacy</a> for more information.</p>
26 total episodes available
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This podcast updates inactive.
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Yes, this podcast regularly features guests.
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