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.
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 […]
Google has reportedly been telling its scientists to give AI a “positive” spin in research papers. Documents obtained by Reuters suggest that, in at least three cases, Google’s researchers were requested to refrain from being critical of AI technology. A “sensitive topics” review was established by Google earlier this year to catch papers which cast a negative […]
Featured Article: Author: Anurag Upadhyay, Accenture Introduction: In today’s dynamic business landscape, organizations face an ever-increasing demand for efficiency, innovation, and competitiveness. To meet these challenges head-on, businesses are turning to cutting-edge technologies that can revolutionize how they understand, optimize, and manage their operations. Among these transformative technologies, the fusion of Computer Vision, Natural Language […]
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 […]