Chris Tynan 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 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
• What makes working at DistroKid unique

The podcast was recorded by Adam Kawa (GetInData). Find more about our data, analytics, ML/AI, cloud, and MLOps projects and services at getindata.com.

Subscribe to Radio Data on Spotify to get notifications about future podcast episodes.

Hosted on Acast. See acast.com/privacy for more information.

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, Data Architect (GetInData | Part of Xebia).

Do you want to read more about the topics? Check "Data Democratization Through Data Management" White Paper written by Michał Rudko

Hosted on Acast. See acast.com/privacy for more information.

Agnieszka 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 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 (GetInData). Find more about our data, analytics, cloud, and MLOps projects and services at getindata.com.

Subscribe to Radio Data on Spotify to get notifications about future podcast episodes.

Hosted on Acast. See acast.com/privacy for more information.