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Your path to AI in production: make or buy?

Make the step towards your optimal make-or-buy decision

The make-or-buy decision for AI software for production systems and their components is to decide whether AI should be developed in-house or purchased. This requires answering specific questions about technology and management and addressing criteria such as time and expertise. AI software has many advantages for companies but also has significant requirements.

Make-or-buy guide: tips and recommendations

An important question for making management and strategic decisions: do I do it all in-house or do I buy in know-how or resources? The decision whether to make or buy is also a key factor in cost optimization.

This makes a thoroughly considered decision that takes all the key factors into account all the more important. This is exactly how our Make or Buy Guide helps you. Get your free guide now, including:

important criteria for a make or buy decision in an industrial environment
special features and differences for OEMs and end users
specific decision-making criteria for software and AI applications

Make-or-buy: step by step to the decision

The advantages and disadvantages of make-or-buy

In short: a solution developed in-house is time-consuming but flexible and adaptable. A purchased solution saves time and money, but may not be an exact fit for the company's requirements.

The most important decision criteria

All criteria such as time, costs, employees, know-how, scalability, training, etc. must be taken into account when deciding whether to develop in-house or outsource.

The special features of AI in industry

In addition to the criteria noted above, other factors also play a role in AI software. For example, quality, availability and protection of the data.