Data & AIData & AI
Keynote15min
BEGINNER

Building my own (accurate!) Spotify Wrapped

The text highlights how users can generate their own music insights using personal listening data, showing that straightforward analytics often outperform complex GenAI or LLM approaches. It emphasizes the value of simplicity and data literacy in producing meaningful, accurate results without unnecessary computational complexity.

talk.summaryAiDisclaimer

Iulia Feroli
Iulia FeroliBack To Engineering / YouTube

talkDetail.whenAndWhere

Thursday, April 2, 10:10-10:25
Zaal 2
talks.description
Wrapped has become one of the most widely anticipated data analytics dashboards of the year. But what happens when the results aren't as complex (or accurate) as people were expecting? Data scientists come in to save the day!

It’s surprisingly easy to create your own musical trends and insights using your listening data - that you can also download and follow along with!

Sometimes, good, simple analytics is way better than overusing GenAI or LLMs when a simple query can do the trick.
music
data
analytics
trends
talks.speakers
Iulia Feroli

Iulia Feroli

Back To Engineering / YouTube

Netherlands

Iulia’s mission is to make tech exciting, understandable, and accessible to the new generation.
With a background spanning data science, AI, cloud architecture, and open source she brings a unique perspective on bridging technical depth with approachability.
She’s building her own brand, Back To Engineering, through which she creates a community for tech enthusiasts, engineers, and makers. From YouTube videos on building robots from scratch, to conference talks or keynotes about real, grounded AI, and technical blogs & tutorials — Iulia shares her message worldwide on how to turn complex concepts into tools developers can use every day.