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: Pavana B, CxSearch Global Partners In today’s fast paced business environment, hiring CXO’s and other senior leadership talent is one of the most critical and difficult decisions companies must make. Hiring a C-level executive has a significant impact on the company’s growth and vision, regardless of size. Due to the limited availability […]
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: Kiranjit Pattnaik, MiQ What are biometric recognition systems Biometric recognition systems are computer-based systems that use an individual’s physical characteristics, such as their fingerprint, voice, face or any other part of the body, to authenticate their identity and grant access to secure areas, systems, or services. They are used increasingly as an […]
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 […]