When it comes to Digital Transformation, it is obvious that Cloud technology is at the center of it. More and more technologies are changing how we deliver customer experiences, and impact how we see our business processes.

Cloud technologies have now surpassed only calculation power, storage or processing.

Mobile is allowing us to do things in movement, in motion. Collaboration within an organization has changed drastically with Mobile technologies. Now it is about having the ability to actually have conversations, to collaborate.

Big data and analytics are giving businesses the ability to transform data, analyze it, bring that information to insight, and make decisions based on patterns of insight.

The Internet of Things is getting more and more important because it’s about the interaction, the interface that links humans, machines, and objects. All of those interactions are giving you the context as it helps to understand location, time, weather, even sentiment.

With the emergence of augmented and virtual reality (AR and VR), user experiences are drastically changing, and this shift forces us to re re-thinking the way we look at advertising, field services, and customer engagement. The democratization of these technologies, and the fact that they are being packaged into devices, make AR and VR easy to adopt.

Enterprise applications for blockchain and synchronous  ledger technology (SLT) are emerging as well. One good example of technologies that help companies go through their Digital Transformation is Smart contracts. They allow companies to quickly negotiate deals that previously took days. Blockchain is also helping to expedite commerce by tracking supply chain data and reducing friction in trust by verifying digital identities.

And finally, there’s Artificial Intelligence. Microsoft is doing a lot of machine learning in order to learn more about patterns of behavior to “augment humanity”. Machine learning using AI is the most critical technology as it gives a foundation to understand what’s going on today but more importantly potentially, identify future problems, trends, and signals in order to improve personalization and predictions. These represent the broader spectrum of technologies needed for success.