Internet Of Things has always played a significant role in the retail industry, stocking and warehousing. And its value is projected to rise from USD 14.5 billion in 2020 to USD 35.5 billion by 2025, at a CAGR of 19.6% The term Internet of Things was coined by Kevin Ashton when he was faced with a challenge in logistics and supply chain management while he co-founded the MIT Auto-CAD centre.
The software design is perhaps the most important aspect that directly influences the ability to scale up, workload performance, the availability of the software, and the longevity of the software itself. It is also important to understand that traditional monolithic designs are still usable and widely used to fulfil many everyday goals. However, now we have a different problem. With the rapid growth of digital services , virtualization services, and an increasing dependency on cloud-based services
When existing software applications fail to fulfill the complex requirements of evolved modern businesses, it requires an upgrade to a more higher-end version of the applications. This entire process of modernizing or shifting an existing application to a new computing environment is known as migration.
Cloud computing has conquered our lives, from massive on-premise systems and storage hubs to fully virtualized storage platforms. Today, organizations are reengineering their strategies rapidly into cloud-friendly which resulted in a rapid growth in cloud migration rate. Studies says, worldwide cloud infrastructure services investments are increased to $41.8 billion in the first quarter of 2021. Because, there is always a double-fold benefit from the cloud transformation.
For years, enterprises have been employing monolithic applications with complex functional frameworks. But today, with advanced solutions built ith API’s and Microservice architecture are putting an end to their realm. With ever-changing requirements in the IT world, enterprises are required to adopt advanced applications with sophisticated features and functions that can accommodate changes throughout.
Data has gone from scarce, expensive, and hard to find and collect to rich and cheap, hard to process and understand with the digital age. In data science solutions, traditional software was used to capture, store, understand and analyze, but not all verticals of data science are essential for individuals and businesses. So Data visualization comes into play to make your tasks easy.
In our rapidly changing world, product manufacturing organizations are increasingly searching for ways to improve their efficiency in delivering outstanding throughputs. Digital Twins is becoming an ideal technology solution for manufacturers and process engineers that helps companies to monitor operations in real-time, control and even enable machines to learn, improve and heal themselves.
