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Strategy consulting
Coaching & Peer Review
Prototype and Product Development
Data Governance
DevOps CI/CD Pipelines
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Artificial Intelligence (AI) transforms our lives, communication, work, and business operations. Its potential is immense, ranging from streamlining processes to driving innovation. The primary objective is to extract valuable insights from unstructured, raw data and analyze it to generate specific actionable recommendations.
Whether assessing your data capabilities or integrating AI solutions, IT-PS offers the perfect services for your needs, regardless of where you are in your journey toward leveraging intelligent data.

Strategy consulting
Discover your company’s untapped data potential. Our workshops will guide you through the world of data, machine learning, and AI.
We offer two tailored workshops:
The Data AI Strategy Workshop introduces your management to the fundamentals of data science and the potential of data AI in your industry. The Use Case Roadmap Workshop is crucial to implementing a successful data AI strategy. Through a structured creative process, specific projects and use cases are developed to create a roadmap for your company’s strategy.
Do you want to make your way to smarter data?

Coaching & Peer Review
If your data science team is already implementing data & AI use cases itself, but is stuck there, wants to improve quality or needs specialist know-how in certain areas, IT-PS is ready with its expertise – either through coaching or peer reviews.
These are formats that allow teams to think outside the box and find new, innovative and promising approaches in the fields of data science, machine learning and AI through professional exchange with external experts.
Let the IT-PS data professionals be your project sparring partner!

Prototype and Product Development
Data and AI projects differ significantly from other projects. Solutions must be developed iteratively and closely with the end users. As a result, it’s essential to create a prototype solution or a minimum viable product (MVP) to assess the suitability of the data for solving the specific use case with machine learning.
The prototype undergoes thorough checks to ensure the necessary data quality for meeting the defined success criteria is achieved. Additionally, the architectural requirements for the final implementation are considered.
Once a successful prototype is achieved, IT-PS provides support in transitioning to a productive environment, considering various aspects, including refactoring, connecting to productive data sources and target systems, and providing user interfaces and visualizations.
Do you want to implement a Data AI project?

Data Governance
Are you data-fit? The directives adopted by the EU, such as the Data Act, the AI Act, and the NIS2 Directive, require companies to review and adapt their data practices to ensure compliance and minimize risks. In short, data governance is needed.
IT-PS offers a 5-step plan to help you recognize, understand, and utilize your data potential. We provide information about the impact of EU regulations, train your teams, and create a customized roadmap for your data future, and we implement this through workshops and data projects.
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DevOps & CI/CD Guidelines
If “standard” is not enough for your needs and you require a dynamic development environment for your data projects, IT-PS can lend a hand. We guide you and your team with intelligent, individually tailored services for DevOps and automated workflows or accompany your agile data projects from design and source code development through to go-live.
We support with
- Compilation
- Packaging/containerization
- Automated tests
- Provision of new versions
- Installation of new versions in test and production environments
In combination with OpenShift environments and Ansible Automation, we make you even more agile!
Red Hat OpenShift
We would be happy to show you what Red Hat OpenShift can do for you. In such cases, automation becomes necessary.