Software development has been fundamentally changing. It’s following the data and going to the cloud. What should organizations be aware of to make the most of it?

Software used to be the undisputed No. 1 concern for digital transformation. Not anymore. While software remains key, its importance has been at least equalled, if not overshadowed, by data.

Software can not only support data-driven decision making, but also become data-driven itself, offering solutions in situations too complex to be dealt with using traditional procedural programming.

At the same time, the move of software development, and off-the-shelf applications, to the cloud creates an interplay with data. As more applications move to the cloud, the data they produce stay there, too. As data increasingly lives in the cloud, applications follow.

We have been following the rise of machine learning and data-driven software development, or software 2.0, for a while now. We have talked about the strategic importance of machine learning for cloud providers. But what about cloud users?

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