Articles

While cloud deployment is an inevitable choice for any company nowadays, choosing the right provider can be tricky, so it’s good to know what cloud service fits your needs best.

As any new technology, Big Data gains a lot of attention and gathers around itself quite a ton of myths. We will look through 5 most popular myths of Big Data today — and demystify them!

Managing Director of Intel Labs, Dr. Michael Mayberry introduced Loihi, the first-of-the-kind neuromorphic central processor chip on Tuesday, September 25th, 2017.

Let this fact carve into your mind: Amazon has acquired Whole Foods and less than in a month they sliced the prices for literally every item in the inventory — and still met the margins threshold!

When we talk about Big Data analytics, we should first understand why this data is so big and what is the actual need of analyzing it.

Whenever people talk of Artificial Intelligence or AI, they most likely speak of deep learning (DL). Yes, the results of applying deep learning approach in analyzing data can be astounding.

Let’s assume you need to run 20 various instances of a software and have 20 separate environments. Previously, the obvious choice would be running 20 virtual machines.

Using the cloud brings multiple benefits, with cost-efficiency being one of the most important, as cloud providers utilize SaaS pricing model – you pay only for the resources you use.

Every business has to make a decision regarding transitioning to the cloud at some point.

Adopting DevOps approach to software delivery in banks can be one of the best ways of gaining a competitive edge for them.