Digital transformation is the watchword for CIOs aiming to reimage their business in the digital world. It uses the best of technology to resolve business challenges and deliver to market requirements. That is why IT decision-makers keep themselves abreast of the latest technologies that can give a boost to their business processes, irrespective of the industry.
Cloud infrastructure is one of the sought after approaches for managing CapEx and OpEx costs for businesses at the initial stage. But, as the business expands, the cloud services inflates in number as well. More the services, the more would be the cost to the provider. Amidst this, how can companies ensure that their cloud infrastructure proves cost-effective along with performance-oriented? The answer is by optimizing the cloud infrastructure for cost.
When legacy systems hold back the business growth, IT teams race to modernize the existing solutions, thereby creating new business value out of them. The process involves technical or functional improvements, which may range anywhere between rewriting code, migration to a different platform, changing the architecture, or even replacing the entire system with a newer one.
Software Reliability Engineering and DevOps are two sought after disciplines, trying to maintain a balance between the software engineering and operations team. Since both approaches seem to sort similar problems, there is confusion if they are similar or can be used interchangeably.
“Okay, Google! Book me a taxi from my place to Oxford street.” “Alexa, Order a large Veg Exotica from Nick’s Pizza.”
In the voice-first era, performing a web search, ordering food, playing music, setting alarms, getting real-time traffic updates doesn’t require tapping the screen. Thanks to the Voice User Interfaces (VUIs) that are offering intuitive modes to set human-machine communication.
The modern approach to software development needs more focus on application than infrastructure. This has lead to the introduction of new technologies and platforms that can help in the auto-management of infrastructure. One of the popular approaches that has gained grounds in this concern is software containers.
Sci-fi has been an inspiration for some amazing modern-day innovations. 3D holograms (Start War), 3D printing (Star Trek), Video calling (Thunderbirds). In fact, your favorite sci-fi character J.A.R.V.I.S. is the inspiration behind one of the sought-after innovations today- chatbots.
Developed by Tony Stark, J.A.R.V.I.S. was an intelligent bot that responds to the user’s thoughts. Connected to global information networks, it used holograms as an interface to communicate with Stark and give him access to anything he needs or wants.
It is not the strongest of the businesses that survive, nor the most intelligent that survives. It is the one that is the most adaptable to change. Believing in this theory of evolution, businesses are leveraging digitization, transforming the way legacy systems and operations are managed.
Building a software application is a complex process, comprising of a number of elements of which coding is just a small part. In general, a software engineering cycle looks something like this:
The insurance industry is overwhelmed with tedious clerical tasks that adversely impact routine operations, such as claim processing, underwriting, policy servicing, etc. As a result, there are delays, inaccuracies, and backlog, which needs to be settled timely, without violating the business regulations.