Featured Article: Author: Vinodh Ramachandran, Neiman Marcus Group In my previous article, I had spoken about some challenges due to a siloed working model within data & analytics teams in large retailers and how setting up a Data & Analytics CoE within the GCC can be a good solution. Lets look at a few ways […]
Featured Article: Author: Abhishek Sengupta, Walmart Global Tech India Introduction: A necessary but often tedious task data scientists must perform as part of any project is quality assurance (QA) of their modules so as to prevent any unforeseen incidents during deployment. While Quality Assurance and Excellence is quite prevalent in Data Engineering, QE in Data […]
Featured Article Author: Vidhya Veeraraghavan, Standard Chartered In the Claims-2030 series of articles, Mckinsey emphasizes that by 2030, every touchpoint in the claims journey, starting even before an incident occurs, will be supported by a mix of technology and human touch that seamlessly interacts to expedite the process and deliver a better experience across the […]
Featured Article: Author: Mradul Jain, AB InBev Large language models, such as GPT, Llama, Bard, etc. have gained immense popularity for their ability to generate coherent and contextually relevant text. Evaluating the performance of these models is crucial to ensure their reliability and utility. To accomplish this, a range of metrics have been developed. In […]