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: Deependra Singh, VP & Head Data Science and Analytics, Network 18 In recent years, the term “Artificial Intelligence” has been making headlines in almost every industry. From healthcare to finance, AI is transforming the way we work and live. But what about the media landscape? Could AI be a game-changer in this […]
We’re living in times of a great data paradox. One side of the paradox is the explosive growth of data in and around us. Here are some facts reported in IDC’s Global Data Sphere to corroborate this: – 59 Zettabytes – total volume of data processed in the year 2020– 26% CAGR – the forecasted […]
Featured Article Author: Vivek Mahendra, Managing Partner, Vivikta Advisory Prelude This is an Enterprise Architect’s perspective on the approach to scale the NextGen Solutions (read, AI/Generative AI/LLMs/Deep Learning led business solutions). A part of the 3 Point-of-View Thought Leadership series, this article focuses on the two foundational aspects – Leadership Archetypes its impact and learnings […]
Featured Article Author: Prabhu Chandrasekharan Artificial Intelligence (AI) is revolutionizing industries by driving automation, optimization, and innovation. As AI systems become more complex, establishing robust governance frameworks focused on ‘Data for AI’ is essential. This ensures data quality, security, and neutrality, leading to reliable AI outcomes. Effective AI governance hinges on several Key Performance Indicators […]