All the entities that have reached a considerable size in their sector of activity, and have a significant market share within it, know that in a market as globalized and competitive as the current one, continuing to grow steadily is imperative; both to maintain the hegemonic position reached and to aspire to rub shoulders with more relevant actors and broaden horizons.
Since companies began to use IT to optimize their business processes, the extraction of valuable information for them, from the data generated by their own activity, has been key to guaranteeing this growth. The process has achieved results thanks to the use of analytical tools, a technology whose importance has increased in parallel with the volume of data managed by companies, coming from the most diverse sources.
Initially used to apply simple predictive models, from the analysis of the data history stored in companies, these tools soon also inspired the automation of some of the most repetitive and easy to optimize management processes.
The Automation Of Simple Processes To Artificial Intelligence
Currently, the vertiginous process of digital transformation in which the most technologically advanced societies are immersed has brought the data to the heart of the business , which requires deploying analytical capabilities to a higher level.
The IDC consultancy predicted a few months ago that soon 40% of European GDP will be digital. To this prediction, he added that, in 2021, 75% of the projects based on the use of IT that companies address to grow in the digital society, either through the development of new customized solutions or digital services, will include some form of machine learning or Artificial Intelligence.
To give an example, in the field of human resources, this will mean that workers will have an assistant to whom they can request updated data and information about the company to increase their skills, knowledge or even receive feedback on the result of their actions.
Achieving that level of automation in the provision of valuable and useful information at any time is only possible if companies have analytical solutions capable of constantly working with large amounts of data, both from structured and unstructured sources. , hosted in the company and outside it, and apply appropriate models to make them “smart”.
The New Role Of CIOs
This certainly cyclopean task puts the CIO in a different position within the company; Now, in addition to being able to obtain the maximum performance from technological resources to optimize day-to-day processes, you will be able to dedicate time and effort to have a comprehensive vision of the business, which will help you advise the executive management to take strategic decisions for the development of this, by involving today more than ever the use of IT capabilities.
According to the results of Logicalis Global CIO Survey 2018, during 2017 25% of IT tasks were outsourced, for this 2018 the percentage has increased, reflected in 36% of IT services outsourcing, which it represents a favourable change in the management of CIOs with a view to a more strategic and less operational vision. Under this new landscape and with a holistic vision, CIOs will be able to advise companies on, for example, what data and in which areas it would be optimal to apply analytical capabilities and for what purpose.
