About us
Willkommen beim Rhein-Neckar AI & Data Hub!
(English version below.
Events and communication will also be held in English, if needed.)
Unsere Mission ist es, die Data-, Analytics- und AI-Community im Rhein-Neckar-Raum zu stärken und den Austausch zwischen Academia und Industrie zu fördern.
Hier treffen sich Expert*innen, Forschende und Interessierte, um gemeinsam an innovativen Themen wie Data Science, KI, Cloud Computing und Data Engineering zu arbeiten.
Was erwartet euch?
- Inspirierende Vorträge zu aktuellen Trends und Best Practices
- Offener Austausch mit Gleichgesinnten aus Forschung und Praxis
- Netzwerken in entspannter Atmosphäre
Egal, ob Einsteiger*in oder Expert*in – bei uns sind alle willkommen, die die Zukunft von Data & AI mitgestalten möchten.
Kontakt:
Ihr habt Fragen oder möchtet aktiv mitmachen? Meldet euch gerne direkt bei Mark Bangert, Andreas Luckert oder Daniar Achakeev.
Bleibt dran – in unserem ersten LinkedIn-Post erfahrt ihr mehr über die Idee und unsere geplante Meetup-Reihe ab Q1/2025.
___________________________________________________________________________________________
English Version:
Welcome to the Rhein-Neckar AI & Data Hub!
(Events and communication will also be held in English, if needed.)
Our mission is to strengthen the Data, Analytics, and AI community in the Rhein-Neckar region and foster collaboration between academia and industry.
Here, experts, researchers, and enthusiasts come together to work on innovative topics such as Data Science, AI, Cloud Computing, and Data Engineering.
What can you expect?
- Inspiring talks on current trends and best practices
- Open exchange with like-minded people from research and industry
- Networking in a relaxed and engaging atmosphere
Whether you are a beginner or an expert – everyone who wants to shape the future of Data & AI is welcome!
Contact:
Do you have questions or want to actively participate? Feel free to reach out directly to Mark Bangert, Andreas Luckert or Daniar Achakeev.
Stay tuned – check out our first LinkedIn Post for more information about the idea and our planned Meetup series starting in Q1/2025!
Upcoming events
1

Rhein-Neckar AI & Data Hub Meetup
HMS Analytical Software GmbH, Grüne Meile 29, Heidelberg, BW, DE## Join us for the #seventh Rhein-Neckar AI & Data Hub Meetup!
### Edition #7: Making Data Systems Understandable and Scalable
Modern data and AI systems are becoming more powerful and more complex. As architectures grow and use cases multiply, transparency, reliability and scalability turn into critical success factors.
In this edition of the Rhein-Neckar AI & Data Hub, we’ll explore two complementary perspectives:- how data observability helps teams understand what’s happening in their data pipelines
- how self-service data platforms can grow from initial use cases into organization-wide ecosystems.
📍 Location:
HMS Analytical Software GmbH, Grüne Meile 29, Heidelberg
📅 Date & Time:
February 26, 2026 | 6:00 pm
🕕 The talks start at 6:30 pm
🍕 From 8 pm onward: Wraps & networking### Our Speakers
### 👉 Sarin Ravishanker, Senior Data Engineer @Forto
Talk: Data Observability — Making Data Reliable, Visible, and Trustworthy
As data and AI systems become more interconnected, understanding what is actually happening to data gets harder. Dashboards may look fine and pipelines may keep running — yet changes, delays, or unexpected behavior often go unnoticed until decisions or downstream systems are affected.
This talk introduces data observability as a practical approach to making modern data systems more transparent and understandable. Using simple mental models and real-world examples, Sarin will explore:- How data flows, changes, and behaves over time
- Common failure scenarios in analytics and AI systems
- Why traditional monitoring and data quality checks fall short
- How observability helps teams detect and investigate issues early
Designed for a mixed audience of data professionals, students, and non-technical participants, this session makes data observability approachable and actionable. Attendees will leave with a clear understanding of what data observability is, how it differs from traditional data quality approaches, and why it is becoming essential for modern data and AI systems.
***
### 👉 Fabian Stadler, Software Engineer @HMS
Talk: From Use Cases to Platform: Building a Snowflake-Powered Self-Service Data Ecosystem
In this talk, we share insights from a client project where a set of initial Snowflake use cases evolved into a scalable self-service data platform.
Fabian will walk through:- Key architectural decisions and design principles
- Challenges encountered along the way
- Iterative steps from isolated workloads to an integrated ecosystem
- Lessons learned and how the platform continues to grow
The session provides a practical look at how organizations can move beyond single use cases and build data platforms that are adopted and used across teams.
### Important Notes
✔ Maximum capacity: 50 attendees. Please RSVP only if you can attend.
✔ No-show policy: If you can’t make it, kindly update your RSVP so someone else can take your spot.
✔ Participation is free!Notice on Photo and Video Recordings
Photos and videos will be taken during the event. These recordings may be used by HMS Analytical Software GmbH for the purpose of public relations, event coverage, and promotional activities, including publication on our website, social media channels, and in print materials.
By registering for the event, you consent to the creation and use of such recordings as described above. If you do not wish to appear in any photos or videos, please inform a member of the event team on site.
For more information about data protection and your rights, please refer to our privacy policy: Privacy Policy - HMS Analytical Software10 attendees
Past events
6

