What does data sprawl mean?
Data sprawl is the uncontrolled spread of an organisation's data across many systems, apps, cloud services and devices, to the point where nobody has a clear picture of what data exists, where it lives or who can access it. It typically builds up as teams adopt new tools faster than IT can track them.
Common causes include teams signing up for their own SaaS tools, duplicate copies of files, shadow IT, and exports or backups that are never cleaned up. The result is higher storage costs, a larger attack surface and harder compliance with rules like GDPR or NIS2, because sensitive data may sit in places nobody monitors. Organisations usually reduce it by consolidating tools and assigning clear data ownership, and Easy8 supports this by keeping projects, tasks, documents and knowledge in one platform that can run on your own infrastructure.
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Can an AI force be deployed on premises?
Yes, an AI force can be deployed on premises. On-premises AI refers to deploying AI infrastructure, models, and applications within an organization's own physical data center or internal servers rather than relying on cloud providers.
This setup offers benefits such as enhanced data control, improved security, compliance with regulations, and reduced exposure to third-party risks.
There are several deployment models, including self-contained on-prem AI platforms and embedded AI solutions integrated into existing infrastructure. On-prem deployments can also be combined with automation and orchestration frameworks for scalability and management.
Can I run n8n locally?
Yes, you can run n8n locally on your machine.
Choose the method that fits your workflow and environment. If you need portability or plan to scale to multiple servers later, Docker is often the easiest path. If you just want a quick start with minimal setup, the npm method or Desktop App will get you running in minutes.
