Sectors · AI adopters

AI at work in the business

Once AI moves from pilots into core operations, you have to decide where AI does the work and where it runs. We help enterprises choose the workflows and models, and build the right mix of on-premises, colocation and cloud to run them.

Who it is for

  • Capital markets, financial services and insurance
  • Media and content
  • Energy, industry and manufacturing
  • Healthcare and life sciences
  • Retail, logistics and telecoms

Typical questions

Questions we help answer

  • Which parts of our work should AI take on?
  • Which AI models should we use, and for which tasks?
  • Should we keep using the cloud, or bring AI workloads in-house?
  • How do we keep sensitive data under our control?
  • Can our current data centre take GPU servers?

What we cover

Enterprises: our scope

Workflows and models

Which steps AI should take on, and which models suit each one, across providers.

Where it runs

Cloud, colocation or a private platform, compared on cost and control against your actual usage.

Data control and security

Where data lives, who can reach it and how it is protected.

Integration with existing IT

Identity, networks, storage and operations connected to what you already run.

Facility fit

Whether your data centre or a colocation partner can host the equipment.

Operating model and skills

Who runs the workflows and the platform, and what they need to do it well.

Contact

Putting AI to work in your business?

Tell us what you are planning and where you are today. The first conversation covers workloads, facilities and timing.