03
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Implementation

AI-Ready Data Foundation

AI-ready data

With 25 years of enterprise data platform experience, we get your data in order without migration, on Cloudera, Microsoft or Databricks.

What makes us different?

01

25 years of building data platforms

For a quarter of a century we have built and operated enterprise data platforms, so we know where projects usually get stuck.

02

No unnecessary migration

We make your existing environment fit for purpose instead of dragging you into another migration project.

03

Independent recommendations

As a Cloudera, Microsoft and Databricks partner we recommend the solution that actually works for you.

In short

AI-Ready Data Foundation is United Consult's data preparation service for artificial intelligence projects. We make the data needed for the selected use case reliable and accessible: target architecture, continuous quality checks, access rights and an optional searchable knowledge base, built on your existing systems.

01
Before implementation
Find out where you stand
02
Piloting
Find out if it's worth it
03
Implementation
AI in production
04
Operations and support
We stay with you even after go-live
Benefits

A reliable foundation for every AI solution

We prepare company data so models give accurate, verifiable answers, building on your existing systems without migration.

More accurate answers
Transparent data lineage
Controlled access
No need to replace everything
Ready for generative AI

When is it needed?

Initiatives keep stalling because information is incomplete, scattered across systems, undocumented, or it isn't clear who may access it. And a model working from poor material is confidently wrong.

How we work

We get the data domain needed for the selected use case in order and make it accessible. We design the target architecture, set up continuous quality checks and access rights, and if needed build a searchable knowledge base for generative solutions.

Where can it be used?

Generative AI

Searchable internal knowledge base

Policies, product descriptions and manuals an assistant can answer from accurately.

Forecasting

Unified customer view

Reliable customer data merged from multiple systems for forecasting models.

Manufacturing, energy

Machine data preparation

Machine and equipment data for predictive maintenance.

Reports

Queryable reports

A data layer an AI assistant can answer from reliably.

Who is it for?

Data leaders and architects planning to introduce artificial intelligence who know the foundations aren't ready yet. Especially those using Cloudera, Azure or Databricks, or choosing between them.

Technology
Our technology partners in this

Our working process

How our collaboration progresses

8 to 12 weeks
1
Phase
Assessment

Current environment, gaps

Gap analysis complete
2
Phase
Design

Target architecture

Target architecture approved
3
Phase
Build

Quality, access rights, knowledge base

First data domain in production
4
Phase
Handover

Documentation, training

Handover

Result

What we leave with you at the end of the project

  • A target architecture for the data layer serving AI
  • Automated quality checks that continuously watch for errors
  • Transparent data lineage: you can see where each piece of data comes from
  • Access rules defining who can see what
  • Optional searchable knowledge base for generative solutions
  • Complete documentation your team can carry forward
Team

Who do you work with?

AI architect
Designs the target architecture and owns the technical direction.
Data engineer
Builds the data pipelines and quality checks.
Data governance specialist
Sets up access rights and data classification, and prepares the documentation.
Project manager
Keeps the milestones and the handover on track.

Useful reading on this topic

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FAQ

Frequently asked questions about this service.

What does AI-ready data mean?

Data that is reliable, documented, of verified quality, with controlled access. From such data AI can give accurate and verifiable answers.

Do we have to replace our existing data platform?

No. United Consult makes your existing environment AI-ready instead of dragging you into another migration project. More data domains can be added later.

What is a searchable knowledge base?

A data layer built from company documents (policies, product descriptions, manuals) from which a generative AI assistant can give accurate answers with source references. Its technical name is RAG.

Which data platform do you recommend?

The one that actually works for you. As a Cloudera, Microsoft and Databricks partner we recommend independently of technology and help you make the decision.

How long does the project take?

The base package takes 8 to 12 weeks: assessment, design, build and handover. Larger programmes are delivered in phases.

Free

30-minute AI consultation

Let's review the state of your data and what it takes for AI to work with it reliably.

You will speak with an expert colleague, not a salesperson
We will recommend which of our services you should start with
No obligation, online or in person

Make the most of IT with United Consult.