This is the era of Artificial Intelligence (AI). Every industry is trying to automate processes and predict the market and future demands using AI, Machine Learning, Deep Learning, and a clutch of new technologies.
What’s going to tick all the right boxes in the tech world this year? Let’s take a look.
Blockchain surely holds a strong market and it is expected to grow at a great rate in the coming years. The Asia-Pacific region is expected to surpass others in adopting blockchain, specifically in the financial sector.
Machine Learning, or ML as we call it, is not a new entity. Often, ML and Artificial Intelligence (or AI) are used interchangeably as if they are the same terms. But that’s not the case. You’ll see why through this discerning InfoBlog.
A technical writer’s main role is writing technical documents, but they do don a lot many hats, as shown in the image below. Thus, the writer’s “supporting actor” role definitely makes the world of a difference to the product and its documentation.
Blockchain in the future will revolutionize business processes in many industries, but its adoption requires time and effort. Nevertheless, in the near future, we can expect that governments will finally accept blockchain benefits and begin to use it for improving financial and public services.
As the Software-Defined Data Center (SDDC) model paves the way towards the future of data centers, open-source technologies are at the heart of this technological revolution.
Clubbing of individual components of a Datacenter to form a single node is called a Converged Infrastructure. Clubbing of Software-Defined components to form a node is called Hyper-Converged Infrastructure. The next era is going to be the era of Hybrid Infrastructure where few components will be hardware-based and few will be software-based.
We are generating a tremendous amount of data every second. Today’s common knowledge tells us that there are ample business opportunities for enterprises that want to put this data to work. Elasticsearch is one such tool that has the potential to run a business from the raw data rotting on the storage devices.
These techniques help in the understanding of the disease as well as initiation and evaluation of ongoing treatment. Apart from this, the dataset of these images is used in further analysis of such diseases occurring around the world as a whole.