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: Sidhartha Shishoo, SG Analytics Businesses are gaining the ability to gather data at an unprecedented pace. The Internet of Things (IoT), unstructured data from media, social media, and other digital activities like product purchases and consumer reviews are driving this. Companies now have mountains of data at their disposal, but the knowledge […]
Adding a module that mimics part of the brain can prevent common errors made by computer vision models. Computer vision models known as convolutional neural networks can be trained to recognize objects nearly as accurately as humans do. However, these models have one significant flaw: Very small changes to an image, which would be nearly […]
In the past months, most of you may have run into a situation where you open the GPS app on your smartphone and it ‘knows’ where you would like to go because it fits a certain repetitive pattern of behaviour or the photo app organizing your pictures based on who are the most important people […]
Featured Article Author: Vinoth Nageshwaran, Business Insider Establishing effective text data frameworks with sentiment analysis is essential for organizations looking to derive meaningful insights from textual information. Sentiment analysis, a subset of natural language processing (NLP), involves identifying and categorizing opinions expressed in text to determine the sentiment behind them. This technique is invaluable for […]