Software Engineering Insights

The scope of innovation in Artificial Intelligence (AI) is vast and the field of Natural Language Processing (NLP) is setting new benchmarks for it every day. What is redefining the way we approach the completion of tasks through NLP is a novel architecture known as Transformer-based architecture. The dynamic problem solving employed using NLP is enhanced tenfold through this novel architectural model.

The COVID-19 pandemic made us witness drastic changes in the way consumers prefer to pay for products and services, inclining more towards cashless transactions. Digitization is certainly a huge step in making payments a quick and seamless experience for customers. That is why digital payment players out there are leaving no stone unturned in bringing innovative modes of payments for businesses and consumers. 

With evolving technology, almost every business is making efforts to expand, improve the customer experience, and ensure that these customers keep coming back. Retail business is one of them. 

Gurgaon, 19 January 2022: Gurgaon-based software engineering company announced that it has plans to create 500 full-time jobs this year. To keep up with the increasing customer demand and to strengthen their portfolio for diverse technologies, Daffodil has declared a massive number of vacancies at its headquarters in Gurgaon. 

The global public health crisis due to COVID-19 has exposed healthcare workers, especially physicians to physical and mental exhaustion. This state, called burnout, has a pervasive negative effect on all aspects of medical care, which also includes the career satisfaction of healthcare professionals. 

How does one measure the success of an organization in the age of insight and business intelligence? Enterprises today run on a strong foundation built on the clarity and efficiency of the data that they possess. Highly beneficial data analytics that gleans business insights faster is the lifeblood of the data economy and every business' evolution is plainly dependent on analytics.

DataOps is a collection of methodologies that has been taking the data management domain by storm. As we know, DevOps is the natural result of applying lean principles such as broad focus and continuous improvement to application development and delivery. DataOps takes these principles and applies them to data science.

Businesses have some obvious reasons to adopt the cloud and migrate to it. Improved IT operations, infrastructure management, reduced CapEx/OpEx, security & compliance are some of the reasons that ain’t letting the upward trajectory of cloud service adoption slow down. 

A world-renowned bank's CEO was recently quoted as saying that, while there are thousands of manual banks now, the future will see only a handful of digital banks. Along with the rest of the world's critical business sectors, an overwhelming number of banks are also shifting to virtual platforms. This migration is being orchestrated by some of the best DevOps resources that the global FinTech sector has to offer. 

Discussions about the future of cloud implementation always involve the building and operating of DevOps platforms in cloud-native environments, which is also known as CloudOps. However, the proper know-how to fully grasp the long-term impact, challenges, and solutions of this technology are quite limited in the software industry.