For years sales and marketing teams around the world have failed to understand the importance of having a data scientist in their ranks. There are several reasons for that but perhaps the most significant one is a failure to recognize and embrace the difference between data analytics and data science.
Like the Arab Spring of 2010 and multiple other movements, there is a silent revolution underway in the form of “Open Data Movement” which is creating a lot of data and revealing insights that are changing the way in which we are living.
The human foot forward into the 21st century has ushered the big guns of globalisation and modernisation to severely impact every step taken. Numerous products, commodities, amenities and services are at our disposal making the desire to availability mapping incredibly robust.
A Recommendation Engine plays a vital role in increasing the chances of a user buying a product. In today’s world, with tons of data from searched products available (thanks to the digital data explosion), it is very easy to find what people are likely to buy – just by looking at their ‘intent’ data.
Virtual Reality (VR) is no longer a technology reserved for the gaming industry. The applications are manifold in industries such as education, engineering, healthcare, insurance, sports, telecommunications etc., Two things occurred to me when I first tried google cardboard was:
How immersive the experience would be in a much more technically crafted devices like Oculus Rift and What would be the current and potential enterprise applications and implications of this technology for insurance industry. Unlike other technology disruptions like telematics, IoT, mobile, digital and cloud in insurance industry which I have outlined in one of my previous blog, VR is yet to catch up in terms of adoption by insurers. However, there are some applications from which the early adopters of this technology have started benefiting.
Not far from now, you will have hard time in figuring out whether this blog is written by an machine or a human! Machine learning, the recent buzz word in the tech industry have started closing the intelligence gap between humans and machine.
Developers are often interested in learning about the software industry’s best practices, so that they can improve the robustness and efficiency of their code. The best way to learn is by reading the source code of programs that are in production and running heavy workloads.