MLOps – implementation in the company

© Fraunhofer IPA

Keeping an AI application up to date or scaling it involves a great deal of work. MLOps (machine learning operations) optimizes the development, provision and operation of AI. This is where we can offer you our support: With a wealth of expertise and methods that have been proven in practice, we help your company to make AI solutions manageable in operational use.
 

Value proposition

We establish transparency over the current status and future viability of your AI processes and infrastructure. Automation throughout the life cycle of AI solutions reduces the amount of manual work involved, and you benefit from a rapid introduction thanks to our comprehensive experience in the management and provision of data, models, code and pipelines.
 

Investment and scope of services

  • At an investment starting from 25,000 euros, you receive the following:
  • Analysis of current status: Evaluation of your previous AI projects and infrastructure.
  • Target concept: Development of a custom, vendor-neutral target infrastructure with appropriate software tools that integrates existing tools and takes account of your preferences for cloud, on-premises or hybrid solutions.

Implementation planning: Support for the development of a roadmap and selection of appropriate providers for implementation in your company.
 

Optional additional services

Training: We provide workshops that aim to achieve a comprehensive knowledge transfer so that your employees are empowered to apply the optimized processes independently.

If you want to future-proof your AI applications and scale their operations, contact us now.