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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

  • Mitigating Bias in AI Systems

    Featured Article: Author: Kritika Saraswat & Sreedhar Sambamoorthi, AB InBev Twenty Years ago, science fiction stories were ripe with futuristic scenarios with cars driving themselves, computer writing stories and human-like holograms responding to any and every query that we had. These scenarios were considered a figment of good writer’s imagination and books and movies on […]

  • Preparing your Business for a Data Revolution

    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 […]

  • Left Shift Decisioning – a Paradigm Shift and a Key Differentiator for Banks in Recessionary Environment

    Featured Article: Author: Aditya Khandekar, President, Corridor Platforms India Left Shift – A software development concept The core concept of left shifting started from testing, where we shift the testing phase to earlier phases in the software life cycle. The goal is to test early, fix bugs close to source of issue and prevent backloading […]

  • 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 […]