2 years ago

Category: Business, Database, Security, Data, artificial-intelligence

Every business appreciates the value of data as it relates to competitive advantage. It is tempting to point to the more visible artifacts that have led to their success, such as adopting new tools, API and microservice infrastructures, and the DevOps practices that enable rapid iterative change.

In most companies, data infrastructure is built to manage the sharing and collaboration of data across different applications, services, analytics, and AI models.

The fundamental problem with this approach is that data is considered almost as an afterthought that must be integrated, secured, cleaned, and wrangled to create value.

It is easy for developers to ignore this fact in the rush to get a new service running.