Managing digital transformation requires orchestrating work within the firm to achieve better products/services and build business models that harness the benefits offered by digital technologies. Firms must consider digital transformation seriously, whether it takes place in an evolutionary or disruptive way, because those that do not adapt to the digital environment will be victims of "digital Darwinism".
Being clear about the main concepts surrounding that of digitalization is no longer straightforward. The term has been so abused by so many people with so many different intentions that it has ceased to be useful for sharing ideas with each other, and shrouded in tons of dust and without substance. This article attempts to help clear up some related but different terms once and for all.
It is not easy to define what Big Data is, or to draw a clear dividing line between what is “big” and “small” data. This difficulty is reflected in the number and variety of conceptualizations that can be found about Big Data in the literature. In this article we review some of the main views that can help transformational leaders to be clear about it.
The term artificial intelligence (AI) was first introduced in the 1950s as a branch of computer science concerned with the automation of intelligent behavior. Since then, AI and its associated techniques have developed rapidly to the point that today not only is there still no fully accepted definition of what AI is, but there are various approaches to it.