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.
For the larger mass of professionals, the words “artificial intelligence,” or AI, often conjure up images of robots, the sorts of robots that might someday take their jobs. But at the enterprise level, AI means something different. It has enormous power and potential: it can disrupt, innovate, enhance, and in many cases totally transform a business. […]
Featured Article: Author: Kuntal Hansaria, Associate Partner – AI, Analytics & Digital, IBM AI Governance includes aspects of Explainability (explaining how a model is working) & AI/ML Operations (scaling model development, management & deployment). While Explainability gets lot of attention, aspects of AI/ML Operations are often ignored. However, without AI Operations, an organization can never […]
Featured Article Author: Bhabani Chatterjee, Capgemini Invent Generative AI revolutionized notions of creativity — in manufacturing, product design, content creation, and problem-solving across various domains. These advancements not only push human invention further but also open up a new world for enterprises and individuals. Of course, ethical implications abound, but the excitement is undeniable. The […]
Since its inception, AI has experienced at least two major hype cycles with resulting winters of disillusionment. Although after the first “winter”, many financial firms deployed a number of successful applications, by the 1990s, AI went into its second winter of disillusionment as realization set in that these systems were harder and more costly to build and maintain […]