Once we start delving into the concepts behind Artificial Intelligence (AI) and Machine Learning (ML), we come across copious amounts of jargon related to this field of study. Understanding this jargon and how it can have an impact on the study related to ML goes a long way in comprehending the study that has been […]

Finding out the difference between data scientists, data engineers, software engineers, and statisticians can be confusing and complicated. While all of them are linked to data in a way, there is an underlying difference between the work they do and manage. The growth of data and its usage across the industry is […]

A lot of times when the prevalent industry trends are discussed among industry folks, there are usually two directions in which the conversation goes. It is either varying states of disbelief at the rate of change within the business and IT landscapes; or it is enthusiastic agreement on the importance […]

  Leveraging the use of big data, as an insight-generating engine, has driven the demand for data scientists at enterprise-level, across all industry verticals. Whether it is to refine the process of product development, help improve customer retention, or mine through the data to find new business opportunities—organizations are increasingly […]

Digital transformation continues to penetrate the paradigms of every industry. Whether it is the manufacturing industry, retailing industry or the service industry, the footprints of digital transformation can be found across all. Yet, amidst the great disruption, a resistance fosters. A resistance, that is coming from the healthcare sector. Dr. […]