Enterprises of all stripes have started to invest heavily in AI to help them understand their customers more deeply and to gain the advantages of superior customer experience (CX). Yet as leaders strive to form a more complete picture of customer preferences and behaviours, they continue to rely on ageing survey-based measurement systems that for decades have formed the backbone of CX efforts.
In the age of VUCA world & Industry 4.0 revolution, AI continues to dominate the business landscape. Whilst the naysayers have advocated the doomsday for humanity by predicting the advent of singularity, AI for good & all have several applications to usher a new change in how we make decisions at enterprise and personal fronts.
Data and analytics leaders increasingly believe that data science is a critical component of their analytics and business intelligence (BI) modernization plans, and are clamoring to incorporate new. Technologies such as predictive analytics, machine learning and deep neural nets sit at the Peak of Inflated Expectations on related Gartner Hype Cycle. While some degree of backlash […]
Featured Article: Author: Raj Bhatt, CEO, Knowledge Foundry The ProblemWriting e-commerce product descriptions has traditionally been a manual process. This activity necessitates a substantial amount of creative effort given the hundreds of new products produced by each brand/marketplace each year. While large companies use copywriters to create these product descriptions, many smaller companies opt for […]
Featured Article: Author: Shireen Ali, Senior Vice President – Analytics, Citi The B2B payments sector is estimated to be a $120 trillion* business. Yet, despite recent technological advancements, B2B payments still falls behind its counterpart, B2C, in terms of both customer experience and efficiency. If you have to go out to a café and buy […]
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 […]