ALPS 22 | Vienna and Carinthia | November 15 to 20, 2026
Quality conversations, in person.
Datansh co-founder Nitish Kumar will be in Austria as part of ALPS 22. He would welcome conversations with manufacturing leaders about quality loss, useful early warnings and what helps an engineering finding become action.
About the visit
Nitish has been selected to participate in the Austrian Leadership Programs, an international visitor program run by the Austrian Federal Ministry for European and International Affairs.
His visit to Vienna and Carinthia is planned for November 15 to 20, 2026. Datansh's supplied program information identifies innovation and high technology, including microelectronics, ICT and research and development, as the focus of this edition.
What Datansh brings to the conversation
Experience with production and quality evidence
Our manufacturing work includes plant-floor reporting for component production and wafer-lot, process and quality reporting in semiconductor operations.
A practical quality focus
We are interested in how the checks already made in a plant can support better investigations, earlier-risk assessment and more effective follow-through.
An open discussion, not a preset solution
Different processes and teams need different starting points. Understanding those differences is part of the visit.
The questions matter more than a prepared pitch.
Our focus is Quality & Yield Intelligence for quality-critical component manufacturers. We want to understand how teams decide which losses deserve attention, what information they trust and where an analysis or a warning still fails to become action.
The audience is not limited to automotive, batteries or a single production process. The relevant connection is quality-critical component manufacturing and the decisions behind quality performance.
Meeting time and location will be confirmed individually.
Questions worth comparing notes on
Which quality loss is receiving the most attention from your plant or customers?
When an investigation crosses systems or teams, where does it slow down?
What would your team do differently with an earlier, reliable warning?
What happens after a quality finding has an agreed owner?
What evidence would make an analytics or AI approach worth putting into daily use?
Notes before the visit
The questions behind our preparation, without assumptions about what we will learn.
Quality questions we are taking to Austria
With thanks to the Austrian Embassy in New Delhi and the Austrian Federal Ministry for European and International Affairs.
A useful conversation starts with your plant.
Bring a quality priority, a difficult investigation or a question about earlier action. We will compare approaches, not arrive with a predetermined answer.
Book a CallOr write to info@datansh.com