Radio DaTa

About Radio DaTa

We talk about data, cloud, analytics, and AI/ML/BI with different expert guests and different hosts, in different segment formats. Hosted on Acast. See acast.com/privacy (https://acast.com/privacy) for more information.

Publisher

Adam Kawa

Category

news · technology

Language

en

Explicit

No

First episode

6 Apr 2022

Latest episode

3 Dec 2023

Latest episodes

26 episodes in the feed.

1. 

   3 Dec 2023

   Data Journey with Chris Tynan (DistroKid) - Data & AI in large-scale music distribution to Spotify, Apple, Google and more

   Chris Tynan (https://www.linkedin.com/in/chris-tynan-38533211/?originalSubdomain=uk) 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. DistroKid (https://distrokid.com/) 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. Topics that we talk about include: What DistroKid is, who uses it and how it works Data collected and analysed by DistroKid ML and AI in music distribution e.g. detecting bad actors Generative AI in the music industry e.g. deepfake voice Democratisation of music creation with Generative AI, mobile devices, social media Tech and ML/AI stack used and evaluated by DistroKid e.g. AWS, Redshift, dbt, Redash, Whisper, Amazon Rekognition Very interesting tools in the ML/AI landscape e.g. Hugging Face, Modal (https://modal.com/) What makes working at DistroKid unique The podcast was recorded by Adam Kawa (https://www.linkedin.com/in/adamkawa/) (GetInData (https://getindata.com/)). Find more about our data, analytics, ML/AI, cloud, and MLOps projects and services at getindata.com (https://getindata.com/). Subscribe to Radio Data on Spotify (https://open.spotify.com/show/4BZj15LtVmk1e8mcCgh9KH?si=bc5a160bd513437d) to get notifications about future podcast episodes. Hosted on Acast. See acast.com/privacy (https://acast.com/privacy) for more information.

2. 

   12 Nov 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?

   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. Topics that the podcast includes: What Data Management is? How does it relate to data governance, data observability, and other similar terms? Why do we care about Data Management? What does it take to introduce data management in the organization? How do we get from an AS-IS situation to a desired well-managed data environment? This podcast episode was recorded by Michał Rudko (https://www.linkedin.com/in/michalrudko/), Data Architect (GetInData | Part of Xebia (https://getindata.com/)). Do you want to read more about the topics? Check "Data Democratization Through Data Management (https://bit.ly/47fyPYE)" White Paper written by Michał Rudko Hosted on Acast. See acast.com/privacy (https://acast.com/privacy) for more information.

3. 

   1 Nov 2023

   Data Journey with Agnieszka Bomersbach (Pleo) - Data, engineering and analytics at Pleo

   Agnieszka Bomersbach (https://www.linkedin.com/in/bomersbach/) 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. Pleo (https://www.pleo.io/en) 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. Topics that we talk about include: What Pleo is, who uses it and how it works How data is collected and utilized by Pleo Data analytics use-cases implemented at Pleo Pleo's data tech stack, Including GCP, BigQuery, Kafka, Metabase, and Looker Pleo's approach to Generative AI Focus for the upcoming months Evaluation criteria for deciding between open-source and proprietary technology Differences in working with data at Pleo, Acast, and Skyscanner The podcast was recorded by Adam Kawa (https://www.linkedin.com/in/adamkawa/) (GetInData (https://getindata.com/)). Find more about our data, analytics, cloud, and MLOps projects and services at getindata.com (https://getindata.com/). Subscribe to Radio Data on Spotify (https://open.spotify.com/show/4BZj15LtVmk1e8mcCgh9KH?si=bc5a160bd513437d) to get notifications about future podcast episodes. Hosted on Acast. See acast.com/privacy (https://acast.com/privacy) for more information.

Contact Radio DaTa

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.