Every industry and business sector in the world has been making breakthroughs in widespread Artificial Intelligence (AI) implementation. This has been so prevalent that the very landscape of AI has been constantly transforming. The accumulation of so many breakthroughs is ushering in a new stage for AI; referred to popularly as AI 2.0.
How Enterprises Are Implementing AI 2.0
By Allen Victor on Feb 8, 2022 5:59:06 PM
How To Fix Breakpoints In Agile Adoption
By Allen Victor on Feb 2, 2022 5:44:04 PM
Most thought leaders and technology pioneers across industries have been fascinated by how DevOps can transform software development workflows. DevOps can be thought of as an evolution of Agile practices and takes the innovations of the Agile approach forward in creative ways. In the initial stages of embracing Agile, companies must strategize wisely to make the shift.
How IoT Impacts The Finance Sector
By Allen Victor on Feb 1, 2022 8:11:00 PM
The various applications of the Internet of Things (IoT) have helped companies across the board to automate processes and improve their bottom line. This technology is doing wonders for the finance sector in improving service delivery, making customer transactions more transparent, and making the overall process of money exchange more efficient.
How Transformer Models Optimize NLP
By Allen Victor on Jan 26, 2022 3:45:00 PM
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.
6 Key Trends Shaping the Future of Payments
By Nandini Mittal on Jan 25, 2022 7:00:00 PM
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.
Mobile App for a Retail Business: Why it’s a Must-Have?
By Archna Oberoi on Jan 19, 2022 3:00:00 PM
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.
Daffodil Software Announces Expansion Plans, To Hire 500 Employees this Year
By Archna Oberoi on Jan 19, 2022 11:05:03 AM
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.
What is Physician Burnout and How to Lessen its Impact?
By Archna Oberoi on Jan 17, 2022 2:12:00 PM
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 To Accelerate The Data Analytics Process
By Allen Victor on Jan 12, 2022 5:40:22 PM
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.
What Is DataOps And Why Is It Relevant?
By Allen Victor on Jan 5, 2022 5:29:35 PM
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.