THINK SAFE. THINK ICS.
Making data usable and creating the basis for AI
Consolidate, structure and prepare data from existing systems so that it can be used in operations and for applications.
The problem: data is available, but not usable
In many companies, the relevant data is already available.However, it is distributed across different systems. Machines supply data, IT systems store information and documentation exists separately.
In practice, this means
- Data is difficult to access
- Correlations are not visible
- Evaluations are time-consuming or manual
- New applications are difficult to integrate
As a result, data is collected but hardly used in everyday life.
The solution: Merging data and making it usable
A data platform ensures that data from different sources is merged and made available in a structured manner.
The aim is not to replace existing systems, but to prepare the existing data in such a way that it can be used in operations, evaluations or applications.
How we proceed when setting up an AI infrastructure
The development of a data platform takes place step by step and is based on the existing systems and requirements.
1. analyze existing data and systems
What data is located where? Which systems are relevant? What information is actually needed?
2. connect data sources
Machines, applications and databases are connected so that data is centrally available.
3. structure and prepare data
Data is standardized, cleansed and put into a usable form.
4. enable access and use
The data is made available in such a way that it can be used in applications, evaluations or existing systems.
5. create the basis for further applications
Further topics can be built on this basis, e.g. automation or AI applications.
Where AI infrastructure is needed
A data platform always becomes relevant when companies realize that existing data exists but cannot be used in a meaningful way on a day-to-day basis. This is often the case when several systems run in parallel and information is not merged.
This typically occurs in production environments where machine data is generated while ERP or MES systems are used in parallel and additional information is stored in documentation or logs. Decisions are then often based on individual sections, not on a complete picture.
At the latest when new requirements arise - such as better evaluations, automated processes or the use of AI - it becomes clear that the existing database is not sufficient. It is precisely at this point that an AI infrastructure becomes necessary in order to make data usable across systems and create a reliable basis for further applications.
What improves in everyday life
As soon as data is structured and available across systems, the way information is handled in day-to-day work changes significantly:
- Information no longer has to be laboriously searched for or compiled manually, but is available where it is needed.
- Decisions can be made more quickly because relevant data is already available and correlations are easier to recognize. At the same time, a better overview of processes is created as information from different areas is linked together.
- New functions or applications can also be integrated more easily because the necessary data is already accessible and structured. Overall, this creates a more stable basis for the further development of existing systems and for the use of additional technologies.
Why ICS
ICS combines software development, system integration and experience in complex system landscapes. This results in solutions that fit into existing systems and work in operation, instead of isolated platforms with no connection to reality.
What is a data platform and why is it important?
A data platform brings together data from machines, IT systems and applications and makes it available in a structured form. This makes data usable during operation and forms the basis for evaluations, automation and AI.
When is it worth setting up a data platform?
When data is available but is distributed across different systems and can only be used with a great deal of effort. Typical signs are manual evaluations, a lack of transparency and slow decisions.
Do existing systems need to be replaced?
No. Existing systems remain in place. The data platform connects existing data sources and makes data usable across systems.
What are the concrete benefits of a data platform in everyday life?
Information is directly available, evaluations are simpler and decisions are faster. At the same time, new applications can be integrated much more easily.
Is a data platform a prerequisite for AI?
Yes, without a structured and accessible database, AI applications cannot deliver reliable results. A data platform creates this basis.
How does ICS support the development of a data platform and AI infrastructure?
ICS analyzes existing systems, connects relevant data sources and provides data in such a way that it can be used in operations and applications. The goal is a solution that works and is used in everyday life.