digital transformation

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How Poor ITSM Impacts Employee Experience

In today’s digital workplace, technology is the backbone of productivity. Employees rely on IT systems for communication, collaboration, data access, and task management. This makes IT Service Management (ITSM) a critical function within every organization. ITSM refers to the structured processes and tools used to design, deliver, manage, and improve IT services. When ITSM operates

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From Physical AI to AI-Augmented QA:  The Next Evolution of Testing

Many of you may already be familiar with Physical AI — the evolution of artificial intelligence from purely digital intelligence to systems that understand and interact with the real world. Physical AI enables machines to: Understand physical environments Adapt to real-world conditions Make autonomous decisions Execute actions in dynamic systems This shift — from information

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Poor implementation of AI may be behind workforce reduction

Many organisations are eroding the foundations of business – productivity, competitiveness, and efficiency. This is happening due to poor implementation of human-AI collaboration, according to cloud data and AI consultancy, Datatonic. The company says in the next phase of enterprise AI, success will come from carefully-governed and designed AI that works alongside humans in “human-in-the-loop

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Joey Gilkey — Rebuilding Outbound Sales Around Phone Intent and Predictive Precision

Executive Summary. TitanX Founder and CEO Joey Gilkey explains why sales organizations are shifting from activity-based outreach to intent-driven precision. He outlines how Phone Intent infrastructure, AI-powered behavioral signals, and channel restructuring are redefining SDR productivity, connect economics, and the future division of labor between automation and human sellers. As outbound channels saturate and connect

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ManageEngine User Conference Bengaluru – Vision 2026, AI Focus & Leadership Connect

Hi, I’m Karthi, QA Manager, and I recently had the opportunity to attend the ManageEngine User Conference in Bengaluru (Feb 19–20), along with our VP of Sales, Sriram. I went in expecting a typical technology conference — product announcements, feature updates, and technical discussions. I came back with something far more meaningful. Perspective. This wasn’t

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Why IT Reports Don’t Make Sense to Business Leaders

Every month, IT teams walk into leadership meetings armed with detailed reports — uptime statistics, incident logs, SLA compliance charts, performance dashboards, and infrastructure analytics. The data is accurate.The effort is significant.The reporting is thorough. Yet when the presentation ends, many business leaders are left with a silent question: What does all of this actually

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Ethan Gustav — Building Always-On Fan Engagement Through Conversational AI

Executive Summary. As sports organizations shift toward year-round digital engagement, Infobip North America President Ethan Gustav explains how conversational AI, mobile messaging, and unified fan data are transforming teams from event-driven brands into always-on fan platforms. As fan expectations move toward continuous, personalized digital experiences, sports organizations are rethinking how they engage audiences beyond game

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Why Teams Without Claude Cowork Are Falling Behind

AI is everywhere today.From writing emails to analyzing data, teams are using AI tools more than ever before. And yet, many organizations still feel the same pain: Work feels fragmented Collaboration is slow Context is lost Productivity gains are inconsistent The problem isn’t a lack of AI. The real problem is how AI is being

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How insurance leaders use agentic AI to cut operational costs

Agentic AI offers insurance leaders a path to scalable efficiency as the sector confronts a tough digital transformation. Insurers hold deep data reserves and employ a workforce skilled in analytic decision-making. Despite these advantages, the industry has largely failed to advance beyond pilot programmes. Research suggests only seven percent of insurers have scaled these initiatives

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Why Most Agentic AI Projects Fail Before They Even Launch

AI agents are rapidly becoming one of the most talked-about innovations in enterprise technology. From autonomous task execution to end-to-end workflow automation, Agentic AI promises to move beyond chatbots and copilots into systems that actually do work. But here’s the uncomfortable truth: Most Agentic AI projects fail before they even launch. Not because the models

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