There is so much being written and spoken about digital transformation today that you would be right in asking why you should read another series of articles that probably say the same thing. There are three reasons I believe it could be worth your while to read this series.

Being Digital is a book by Nicholas Negroponte about digital technologies and their possible applications in the physical world. He presents a strong belief that humanity is inevitably headed towards a future where everything that can be digitalized will be digitalized.

Digital Transformation and the Adoption of Emerging Technology is the need of the hour for all businesses. A successful digital transformation in any area of your business should be measurable in one or more of the metrics discussed in this article.

A lot of the technologies that are being talked about today, are not new. Many technologies have been around for decades. There are multiple reasons why they have become mainstream today and are being used in business and many aspects of our lives.

Applications of new technology are getting very creative, almost Star Trek-esque. I believe that is the right approach to 'drinking from the hose pipe' of emerging technology. What I mean is that it is probably better to imagine an application that serves your personal or business needs and then to determine which of the emerging technologies need to be used to enable that need.

We all know the Internet is a massive collection of connected computers. Now imagine this network includes other things around you that you did not consider computers. And imagine all these things could communicate with each other, sending data or executing transactions, without any human intervention.

Quick definitions of and the difference between the terms money and currency. Readers with knowledge of finance will find this trivial and simplistic. But others, who understand colloquial definitions and use these terms interchangeably may find it interesting.

Electronic Funds Transfer (EFT) protocols laid the foundation for digital payments. These protocols were the basis for self-assisted transactions by customers remotely using the bank's Internet or mobile banking services. Two other major payment systems have evolved over the last few years: Mobile Wallets and the Unified Payments Interface (UPI)

Blockchain as a technology is in a very strange position. Everyone believes it will provide them with an effective solution for some business problem, but very few are sure of which one and how. In the first part of this 3-part series, I will explain the idea behind Blockchain, without getting into any detail of its design or use cases.

In part 1 of this 3-part series, the concept and intent were explained. This part will explain some of the technical and implementation details, so you can become familiar with how this new technology works under the hood.

In part 1 of this 3-part series, the concept and intent were explained. In part 2, some of the technical and implementation details were explained. This part will present a use case that demonstrates Blockchain in action with its Smart Contracts solution.

As it has always been, data is what makes any application useful or valuable. Data by itself may or may not be of any value to an end user - human or machine. But when this data is processed or analyzed, it is all connected and put together in a specific context and this now provides information or insights to the end user to enable them to take decisions.

For the longest time, relational database management systems (RDBMS) were (and still are in many cases) the preferred way to store and manage data. With the emergence of Big Data, if you think about the three main V-characteristics, one stands out as a problem for the otherwise almost-perfect RDBMS. That V is Variety.

Data analytics and data science are broadly similar in that they employ techniques and theories drawn from many fields - including mathematics, statistics and computer science, and use scientific methods, processes, algorithms and systems to uncover hidden patterns, correlations and other insights from structured and unstructured data.

Programming languages have been evolving rapidly over the years. The parallel with the evolution of popular music is quite stark. The real great oldies C and C++, like the Beatles, Pink Floyd, The Doors and Dire Straits, have lasted many years and are still going strong. Java was the next generation, like The Traveling Wilburys, R.E.M., Guns N’ Roses and Bon Jovi, now old too, but still very popular.