Featured Article: Author: Abhishek Tandon, LTIMindtree As mentioned in chapter 1, AI projects generally suffer from abandonment because they are left at the point of execution and not thought through from a consumption perspective. One of the key reasons for that is lack of understanding of the “bigger picture” that ends up causing a lot […]
Featured Article: Author: Princy Gupta, Data Analytics Leader, Honeywell Artificial Intelligence (AI) is revolutionizing the global economy, providing unprecedented opportunities for businesses and governments to thrive in the age of data. According to McKinsey’s latest report, AI is projected to contribute $13 trillion to the global economy by 2030, a figure equivalent to the output […]
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: Amita Mirajkar, EXL As technology permeates every aspect of our lives, the education sector stands on the verge of a transformative change, courtesy Generative AI. Last few months, we have seen a surge of concern across institutions of higher learning as Generative AI programs, such as ChatGPT, gain popularity. According to MarketResearch, Generative […]