19th of April
How to speak AI to corporates

In this interactive workshop on ‘How to speak AI to corporates’, Tristan from Makerlab explained everything about how corporates deal with innovation. And, more importantly, how startups can use this to their advantage!

15th of March
Databases & Datasets

During this session, Hannes Mühleisen, co-creator of DuckDB, will told more about the 'why' behind DuckDB and how it was developed. Besides, he answered a lot of questions about database architecture and related topics.

18th of January
Data Visualization

While running your AI/ML/Data Science startup, you can quickly get caught up in the numbers & data you are working with. However, an important aspect is how to make your data ‘presentable’.

Bojan Pavlovic, a data engineer at Google Cloud, provides some tips & tricks about data visualization. After showing a real-time demo of what is possible with data visualization (building slick dashboards, amongst others), he dove deeper into how you can turn your data into meaningful visualizations.

30th of November
Security & Data-governance

On the security side, we discussed what practical things need to be considered from the start onward. This will ensure that proper security is in place, also during later growth stages of your startups.

On the Data-governance side, we discussed what parts of data governance are relevant for startups and what to take into account looking forward. This includes an overview of the risks & consequences during this phase.

19th of October
Development practices as a Startup

As a startup, there are many different tools and ways to develop. During this session, the role of a developer (and the importance) was discussed, as well as some best practices for testing, documentation, version control, and how to become a faster developer.

21st of September
MLOps: Cloud vs. on-premise vs. hybrid

This first session was about MLOps and the various ways to deploy your ML products/services. Several startups presented about why they chose a certain solution and talked about best practices and trade-offs.