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Customer Story

Shaping the wastewater treatment plant of the future

How the Amt für Industrielle Betriebe (AIB) uses data analytics and AI to unlock potential.

At a glance

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Challenge

AIB aims to modernize its historically grown data landscape. This includes replacing the existing data platform with a future-proof solution that enables the use of AI.

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Solution

Together with ALTYCA, AIB analyzed the current state, developed a data strategy, and identified use cases in a workshop. One of them – AI-powered anomaly detection – was implemented as a pilot.

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Benefits

AIB now has a clear strategy for leveraging its large volumes of data – and thanks to the identified use cases, it will be able to make day-to-day operations more efficient and reduce operating costs.

The full story

The Amt für Industrielle Betriebe (AIB) faced the challenge of modernizing a historically grown data landscape.

In this process, AIB pursued two goals: to develop a robust data strategy and to replace its outdated data platform by a modern, future-ready solution that also enables the integration of artificial intelligence.

Together with ALTYCA, a current state analysis was conducted through internal interviews, leading to the development of a data strategy that was aligned with the canton’s overall strategy.

“ALTYCA is a great company that convinces not only professionally but also on a personal level.What I particularly appreciated was the clear structure combined with flexibility where needed. Thanks to ALTYCA, we now know which use cases – both AI-powered and traditional – help our stakeholders optimize their daily work.”

Ramon Jung, Data Manager and Project Lead

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This was followed by a design sprint workshop split into two half-day sessions, in which relevant data analytics and AI use cases were identified, prioritized, and refined – ranging from chatbots for project documentation, automated microscopy in the lab, to predictive control of combined water basins for environmental protection during heavy rainfall.

On this basis, a pilot project for anomaly detection was implemented. The goal is to determine the optimal cleaning time of the inflow pipe to the digester, ensuring the required sludge retention time for maximum gas production.

Amt für Industrielle Betriebe, Basel-Landschaft

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Applicable to other organizations

Structured use case generation is not only a win for AIB but also offers clear added value for other organizations – especially when it comes to systematically unlocking data-driven potential.

The developed solution can also be applied to other industries – such as energy supply or other critical infrastructures. Wherever decisions must be made based on measurement data, anomaly detection can help optimize processes and allocate resources more effectively.

 

Solution components

Data strategy and data analytics/AI use cases (derived from interviews and workshop),
Pilot implementation (Python)

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Martin Ursprung

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