It’s been more than a decade that DevOps as a practice has been bridging the gap between the development and operations teams. It’s breaking down the silos between the two and automating the delivery cycle. Just like we implement DevOps to the delivery pipeline (to deal with the varying development environment), it is time that we start doing the same for databases.

Finance industry processes are becoming more foolproof and efficient due to automation. There is plenty of evidence to showcase the growing impact of Machine Learning (ML) and its wide acceptance across various use cases in capital markets.

Technology is spreading its wings to provide a profusion of opportunities. We have millions of smart, interconnected devices and complex systems that are enabling us to do much more than human potentiality. But the hard fact is, these systems are not foolproof and highly vulnerable to cyber-attacks. 

The COVID-19 pandemic has put tremendous pressure on the healthcare system, globally. Hospitals have experienced a surge in the volume of patients. The hospital staff has been asked to perform roles they were unfamiliar with. Many hospitals even stopped elective procedures and consultations to ensure that COVID-affected patients are attended well. 

A lot of people, especially women, take a break from their careers due to different reasons. After a long break, there is a high probability of women who might doubt if they should get back to their careers or continue with their lives.

Machine Learning (ML) is one of the most versatile technologies of Artificial Intelligence (AI). The healthIT sector has realized the importance of ML in the prediction, management, and treatment of various health issues. These days, researchers are coming up with some innovative ways in which machine learning is improving the quality of patient care.

The worldwide public cloud services market is expected to be valued at $304.9 million by 2021. Businesses are going to increase their spending on the public cloud with SaaS, LaaS, DaaS, and IaaS services in the mainstream. 

Almost every industry experienced a downfall during the COVID-19 pandemic. At worse, some businesses were even shut down. However, some thrived during the tough times and kept booming to date.

It was the 1950s' when Alan Turing conceptualized Artificial Intelligence. Nobody would have imagined the vast array of applications that this technology could offer. He formed the mathematical & logical reasoning behind the concept of machines and computers replicating human intelligence, which today has outgrown to even replace humans for certain tasks. 

Software development is the biggest trend in the IT industry. Digital transformation, software modernization, cloud computing are some of the sought-after practices to prepare businesses for the current and post-COVID scenario.