Data, Automation, AI

The key message in this graphic is the level of interdependence between the elements. Any kind of automation, including AI, feeds on data. That data needs to be accurate, secure, verifiable, and current as a result of a conscious data strategy. Processes need to be re-imagined and then re-engineered in order to identify where the automation opportunities can be found. Most important of all, the business strategy sets the context for everything - knowing what you want to achieve and how you want to achieve it are fundamental if you are to make conscious decisions about AI.

As an organisation we are deeply embedded in the world of data and AI, working closely with practitioners and technology companies, and staying abreast of the phenomenal stream of new innovations and insights in order to keep our clients informed. But that’s not all.

Our decades of experience in helping our clients set, review, or re-set their strategies, our multiple successes in driving transformation, our data specialists with years of experience in managing, moving, and governing data to greatest effect, and our experience with using digital twin technology to run simulations on business processes, can and should all be combined to help you map your AI journey to success.