Dilpreet Singh of ITC Hotels explains where AI truly fits in loyalty and CRM, why most Indian enterprises are still not data-ready, and how hospitality brands can use AI to enhance personalization without losing emotional connection.
Founded by industry veterans, Wibe Algo is introducing a growth architecture model that integrates strategy, technology, AI-led intelligence, and execution into a unified, revenue-focused system.
ByNN Desk
Seven senior leaders from healthcare, hospitality, insurance, real estate, B2B workspace, retail media, and MarTech sat with NervNow to answer one uncomfortable question: if AI is making everything faster, why is customer confidence going the other direction?
AI brands are now bypassing traditional influencers in favor of technical translators who can demonstrate real-world utility, driving higher conversion rates and restructuring the B2B marketing landscape.
ByNN Desk
Companies have been deploying AI chatbots at scale on the promise of faster resolution, lower costs, and satisfied customers. The evidence is more complicated than the headlines suggest, and a growing number of enterprises are learning that the hard way.
Patel has spent years watching brands spend money at performance marketing dashboards that tell them what already happened. During a conversation with NervNow, the Hector founder makes the case that most brands are not ready for AI, and explains what readiness actually looks like.
A San Francisco founder says new Claude and Manus features disrupted her AI ad startup, highlighting how fast generative AI platforms are reshaping entire software categories.
ByNN Desk
If you are watching competitors appear in ChatGPT while you don't, you are likely confused about how this new SEO works. Traditional ranking tactics don't guarantee AI visibility. In this article, I explored multiple research studies analyzing thousands of AI responses, examined how each major platform selects brands, and investigated real cases to help you understand what actually drives LLM recommendations.
Attribution has never been a technical debate. It’s a political one. While GA4 represents a meaningful step forward from last-click thinking, it remains structurally limited, Google-centric, incrementality-blind, and constrained by short data retention windows. For organizations allocating serious budgets across Meta, LinkedIn, email, offline, and brand channels, relying on GA4 as the single source of truth risks systematic underinvestment and distorted ROI reporting. The modern measurement stack requires triangulation: GA4 for operational signals, multi-touch attribution for directional insight, and marketing mix modelling for strategic calibration. Anything less is guesswork dressed up as precision.
