From Data to Impact - How industrial companies create real added value with AI
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Wie lange dauert es in Ihrem Unternehmen, bis ein Produktionsproblem vollständig analysiert und gelöst ist? Erleben Sie das Thema live – besuchen Sie unser Event am 28. Juli: https://lu.ma/moa0mekz
Hours, days, weeks - or even longer?
Imagine if you could identify production problems before they arise: How much time, money and stress could you save if your teams didn't get stuck in data silos but had access to the right information at all times?
Industrial companies are facing enormous challenges today: increasing cost pressure, high quality requirements, scarce resources and the growing demand for sustainability. Digitalization and artificial intelligence promise solutions here - but visible results often fail to materialize due to a lack of a clear, well-thought-out data and AI strategy.
In this article, you will learn how you can finally create real added value from your data with a consistent strategy, an integrated data platform and targeted AI applications.
Clarity instead of data chaos
Without a well thought-out strategic approach, valuable data remains scattered across different departments and systems - isolated, difficult to access and often unused. As a result, companies lose valuable working time due to inefficient data management. The result: important decisions are delayed, processes become complicated and employees waste resources on manual data maintenance instead of value-adding activities.
This is precisely where a consistent data and AI strategy comes in: It creates clarity about which data is relevant and how it can be collected, stored and optimally used in a structured manner. Companies that take this strategic step immediately experience noticeable improvements: Processes become more efficient, decisions more informed and the quality of products and services increases measurably.
Central levers for efficiency and speed
The development of an integrated industrial data platform unfolds the full effect of the data strategy. Such a platform combines data sources from production, quality control, maintenance and logistics into a transparent and usable overall picture. This reveals correlations that previously remained hidden. According to recent studies, companies with integrated data platforms shorten their response times to production problems by up to 30% and thus significantly reduce costs. A modern platform is therefore the basis and the central springboard for sustainable efficiency gains and a sustainable competitive position through the use of AI.
From potential to real added value
The decisive step: the use of AI to generate real added value from the collected data. The key to success is not to use AI in an abstract or experimental way, but in a concrete and solution-oriented way. Companies that use AI in a targeted manner benefit from impressive results: AI-supported monitoring reduces unplanned downtime by up to 70% on average, while AI-based quality assurance accelerates error analysis by up to 90%.
Experience shows that it is worth taking a pragmatic approach and starting with targeted AI lighthouse projects at an early stage. Such initial successful applications generate internal enthusiasm, create tangible successes and provide valuable insights that can be directly incorporated into the optimization of the strategy. So start with targeted use cases in which AI quickly delivers concrete results - for example in forecasting, quality assurance or energy optimization. The key here is not technological perfection, but close cooperation between specialist departments, data and practical experts.
AI is thus transformed from a theoretical vision into a directly usable lever in practice - as a driver for efficient, sustainable and competitive processes.
Conclusion - from strategy to measurable impact
Companies that consistently follow this path - from the data strategy to the integrated platform to the specific AI application - create real competitive advantages and secure their innovation and competitiveness in the long term. Initial lighthouse projects are quickly creating added value and clear insights along the way.
Are you ready to use your data to achieve tangible success?
Arrange a non-binding consultation with our experts now! Together we will discuss how you can achieve sustainable and measurable results with practical AI solutions.
Deepen your insights and exchange ideas with experts - register now for the event on July 28: https://lu.ma/moa0mekz
Jonas Jarschewski
Senior Sales Manager, Merantix Momentum
📧 jonas.jarschewski@merantix-momentum.com
Connecton LinkedIn
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From Data to Impact - How industrial companies create real added value with AI
Wie lange dauert es in Ihrem Unternehmen, bis ein Produktionsproblem vollständig analysiert und gelöst ist? Erleben Sie das Thema live – besuchen Sie unser Event am 28. Juli: https://lu.ma/moa0mekz
Hours, days, weeks - or even longer?
Imagine if you could identify production problems before they arise: How much time, money and stress could you save if your teams didn't get stuck in data silos but had access to the right information at all times?
Industrial companies are facing enormous challenges today: increasing cost pressure, high quality requirements, scarce resources and the growing demand for sustainability. Digitalization and artificial intelligence promise solutions here - but visible results often fail to materialize due to a lack of a clear, well-thought-out data and AI strategy.
In this article, you will learn how you can finally create real added value from your data with a consistent strategy, an integrated data platform and targeted AI applications.
Clarity instead of data chaos
Without a well thought-out strategic approach, valuable data remains scattered across different departments and systems - isolated, difficult to access and often unused. As a result, companies lose valuable working time due to inefficient data management. The result: important decisions are delayed, processes become complicated and employees waste resources on manual data maintenance instead of value-adding activities.
This is precisely where a consistent data and AI strategy comes in: It creates clarity about which data is relevant and how it can be collected, stored and optimally used in a structured manner. Companies that take this strategic step immediately experience noticeable improvements: Processes become more efficient, decisions more informed and the quality of products and services increases measurably.
Central levers for efficiency and speed
The development of an integrated industrial data platform unfolds the full effect of the data strategy. Such a platform combines data sources from production, quality control, maintenance and logistics into a transparent and usable overall picture. This reveals correlations that previously remained hidden. According to recent studies, companies with integrated data platforms shorten their response times to production problems by up to 30% and thus significantly reduce costs. A modern platform is therefore the basis and the central springboard for sustainable efficiency gains and a sustainable competitive position through the use of AI.
From potential to real added value
The decisive step: the use of AI to generate real added value from the collected data. The key to success is not to use AI in an abstract or experimental way, but in a concrete and solution-oriented way. Companies that use AI in a targeted manner benefit from impressive results: AI-supported monitoring reduces unplanned downtime by up to 70% on average, while AI-based quality assurance accelerates error analysis by up to 90%.
Experience shows that it is worth taking a pragmatic approach and starting with targeted AI lighthouse projects at an early stage. Such initial successful applications generate internal enthusiasm, create tangible successes and provide valuable insights that can be directly incorporated into the optimization of the strategy. So start with targeted use cases in which AI quickly delivers concrete results - for example in forecasting, quality assurance or energy optimization. The key here is not technological perfection, but close cooperation between specialist departments, data and practical experts.
AI is thus transformed from a theoretical vision into a directly usable lever in practice - as a driver for efficient, sustainable and competitive processes.
Conclusion - from strategy to measurable impact
Companies that consistently follow this path - from the data strategy to the integrated platform to the specific AI application - create real competitive advantages and secure their innovation and competitiveness in the long term. Initial lighthouse projects are quickly creating added value and clear insights along the way.
Are you ready to use your data to achieve tangible success?
Arrange a non-binding consultation with our experts now! Together we will discuss how you can achieve sustainable and measurable results with practical AI solutions.
Deepen your insights and exchange ideas with experts - register now for the event on July 28: https://lu.ma/moa0mekz
Jonas Jarschewski
Senior Sales Manager, Merantix Momentum
📧 jonas.jarschewski@merantix-momentum.com
Connecton LinkedIn
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