The infrastructure part of the IT landscape is a crucial foundation for any organization with “post-digital” ambitions. It must deliver the speed, agility, and value for money that both the organization and the outside world have come to expect. It must also be able to capture, hold, manipulate, and provide the data that is needed to continually increase the corporate IQ.
This doesn’t mean that we must meticulously design, construct, and implement our own unique and dedicated IT infrastructure. Instead, we can combine the necessary IT services right from the catalogue, as pre-defined, easy-to-combine, Lego-style building blocks. As this is an ongoing transition, most organizations – unless they are starting from scratch – will have to mix the existing and the new, the stable and the agile, the customized and the standard, the on premises and the cloud based.
Radical automation is the key driver to success, as it will provide the simplicity, trustworthiness, agility, and speed that are the new norm. It goes hand in hand with the increasing power of AI to deal with complexity, risk, and effectiveness on the way toward a fully autonomous, self-healing, self-optimizing infrastructure.
As the real and virtual world are merging into one, so too will infrastructure evolve into an “infostructure” that is able to build digital twins of whatever relevant and connected physical assets are out there. This makes it the foundation for storing and accessing historical and real-time data – the key to training any corporate AI system.
And as we enter the era of serverless solutions that do not require any infrastructure at all, the “invisible” part of the equation sure gets a whole new meaning.