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Insights & Intelligence with AI

Reset Customer Experience with AI: The Art of Possible

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.

Reimagine Human & Enterprise Decision Making in the AI era

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.

Trending 3AI Articles

  • A Greener Future with AI: Minimizing Carbon Footprint for Sustainable Innovation

    Featured Article Author: Jemima Joy, ProV International Artificial Intelligence (AI) has transformed industries and opened doors to remarkable advancements, from generative art to complex decision-making systems. However, AI’s rapid growth comes with an often-overlooked environmental cost—its carbon footprint. As the demand for AI-powered tools grows, so does the energy consumption required to develop, train, and […]

  • Unleashing the CX Potential: GenAI Revolution

    Featured Article Author: Sudha Bhat In today’s competitive landscape, the demand for outstanding customer experience (CX) has surged, particularly with the advent of Generative AI (GenAI). This new era transcends traditional personalized interactions, paving the way for hyper-customized, real-time experiences that are fundamentally driven by AI technology.  Recent studies suggest that 80% of businesses that […]

  • Way to make object-recognition models perform better

    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 […]

  • ADKAR – Driving Behavioural Change for Smoother AI Adoption

    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 […]