Ailionauten – AI is (not) rocket science.
In every episode our data scientists and engineers talk about real projects: what was the starting point, what worked, what did it deliver? Listen to every episode right here or subscribe in your favourite player.
All episodes 27
Play them right here – no detours.
- 27
Industrial AI compared to finance: The crucial differences in real time and regulation
03 July 2026 · 56:27 min
- 26
When do you cancel an AI PoC and what makes it successful?
23 September 2025 · 49:07 min
- 25
Data Science and Data Engineering: Project planning, test strategies and challenges
08 July 2025 · 54:17 min
- 24
Do you actually do anything with “real AI” at Ailio?
23 May 2025 · 50:37 min
- 23
Data:Unplugged Recap - Data platforms, AI and coffee!
30 April 2025 · 42:19 min
- 22
Community notes and fact checkers - what's behind them?
16 April 2025 · 38:09 min
- 21
Election polls from a data science perspective
04 February 2025 · 40:25 min
- 20
Understanding and successfully building data platforms
16 January 2025 · 41:57 min
- 19
Data science in science and industry - differences and similarities
18 December 2024 · 44:00 min
- 18
Boost Your Model: How does data science work in the engine room?
27 November 2024 · 43:23 min
- 17
Migrate data platforms | Review of a SAS to Azure Databricks migration
20 August 2024 · 50:58 min
- 16
Commitment to AI projects - Should a workshop be free?
22 May 2024 · 32:58 min
- 15
Project review with PortalSystems - Specialization of an LLM application with RAG pipeline
29 April 2024 · 39:36 min
- 14
Word Embeddings - How do you deal with them and what do you have to do with prejudices in our society?
02 April 2024 · 61:56 min
- 13
From workshop to productive data product
04 March 2024 · 43:03 min
- 12
Behind-the-scenes insights into review-driven app development and Apple's ML Core Framework
16 February 2024 · 44:28 min
- 11
In which areas does AI develop its maximum potential?
02 February 2024 · 32:47 min
- 10
Annual review 2023 - What has happened with Ailio, data science and AI?
23 December 2023 · 42:16 min
- 09
AI in recruiting & job platform of the future - What could three AI-driven killer features look like?
08 August 2023 · 58:25 min
- 08
Understand K-Means Clustering and apply it in practice!
20 June 2023 · 55:35 min
- 07
Kafka and message streaming with Kai Wähner - Field CTO at Confluent
13 March 2023 · 43:31 min
- 06
Annual review 2022 on Ailio and the development of AI
17 January 2023 · 28:28 min
- 05
Scrum & Agility in the area of data science
07 November 2022 · 36:10 min
- 04
How can you use data science in companies?
27 September 2022 · 29:38 min
- 03
What exactly is a PCA?
26 August 2022 · 36:33 min
- 02
Work in the area of data science (at Ailio) as a working student
25 July 2022 · 29:21 min
- 01
This is what we pay attention to during the data science interview
04 July 2022 · 38:53 min