Your team
Takes on the agreed tasks, such as maintaining rules and content. You gain insight into quality, costs and upcoming adjustments.
Operation and Further Development
Operation and Further Development of Your Data and AI Solutions
In operation, datadice monitors your data and AI solutions in production, maintains interfaces and models, reviews changes and develops the solution further in line with your requirements. The operating model defines before the start what your team takes on and what datadice provides.
For Thomann, datadice built, ran and developed the data platform over five years; today an in-house data team at Thomann carries it forward.
Goal:Run solutions reliably in everyday use
Last reviewed: · reviewed by Thomas Knorr, Managing Director datadice
Running your solutionMonitoring active
ERP interface
Answer quality
Monthly costs
Monthly report sent
At a glance
- What
- We support your data and AI solutions in day-to-day operation and develop them further in line with your requirements.
- For whom
- Companies whose data or AI solution is in production and supports day-to-day business.
- Outcome
- An agreed operating model with defined responsibilities, support services and reporting lines.
- Getting started
- Initial consultation on the importance of your solution for operations and the scope of support you need
Typical starting point
Your application is in production and supports day-to-day business. This makes its availability and quality operational tasks. At the same time, your requirements keep evolving: interfaces change, new data is added and AI models in use have to be evaluated.
Our answer
We plan operation from the start
The economic value is created in daily operation. That is why we plan for operation during implementation. Your solution stays reliable in daily use.
We are convinced that responsibility for a solution covers its entire use. Its economic value is created in daily operation and in the ability to respond to new requirements. Entrepreneurial independence means being able to decide on responsibilities and further development yourself.
For your IT
What happens if someone at datadice drops out?
datadice documents the architecture and operating procedures of your solution so that your team or another partner can follow them.
At Thomann, datadice built and ran the data platform over five years; today an in-house data team carries it forward. The datadice Academy trains your technical staff for the tasks they take on in operation.
For your finance team
Does a low-cost pilot suddenly become expensive in operation?
Not if the running costs are on the table before the pilot. That is why datadice agrees the services, responsibilities and costs of operation before the start.
Data and AI solutions incur running costs in three places: the platform, the use of AI models and the support. The first two depend on data volume and usage, the third on the agreed scope.
We review quality and costs with you regularly; for the WissensAgent you can set usage limits per person or team. You decide on every extension based on these figures.
Architecture
How datadice supports your solution
We agree services and response times according to the importance of your solution, so the support fits your needs.
Step 1 of 4
01
Agree the operating model
We agree services, responsibilities, response times and costs according to the importance of your solution.
Example: an AI application in day-to-day operationStep 1 of 4
Quote assistant in sales
liveYour team
Content maintenance
datadice
Monitoring, technical maintenance
Outcome
What you receive
You receive an agreed operating model with defined responsibilities, support services and reporting lines.
- Monitoring within the agreed scope
- Maintenance of interfaces and models
- Planned security updates
- Reviewed and documented changes
- Regular reviews of quality and costs
- Defined responsibilities and reporting lines
Building blocks
Sharing responsibility
datadice
Takes on monitoring, technical maintenance and review of results within the agreed scope. Documentation and enablement make a clear division possible.
Application
Further development and enablement
Adjustments, model changes and extensions are evaluated and implemented within the agreed scope, so your solution grows with your requirements. The datadice Academy prepares your team for the agreed tasks in operation, so you remain able to act for the long term.
We document the architecture and operating procedures and plan the handover of support in concrete terms, so you organise operation according to your own decisions.
Knowledge
Articles on this topic
Google Cloud for AI Projects: Vertex AI, BigQuery & Co.Which Google Cloud service fits which AI use case? A guide from practice.16 min read(opens in a new tab)Testing with AI: Why AI Code Needs TestsA single undefined value showed us: testing beats trust. With a Vitest setup for React projects.14 min read(opens in a new tab)
Frequently asked questions
An objection we often hear
„How do we make sure we remain able to act in the long term?“
What does operation cover?
The agreed monitoring, technical maintenance and regular review of results. Interfaces and models are maintained, security updates are planned.
How do we remain able to act?
Through documented architecture and operating procedures, knowledge and access agreed early on, and the datadice Academy. A possible handover of support is planned in concrete terms.
Who decides on further development?
You do. The basis is insight into quality, costs and upcoming adjustments.
What does operation cost?
We agree services, responsibilities, response times and costs according to the importance of your solution. We clarify the scope in the initial consultation.
Getting started
Which operational tasks should your team take on itself?
In the free initial consultation we discuss the importance of your solution for operations and the scope of support you need. You then receive a short playbook.
Starting point:Initial consultation on the scope of support