digital transformation

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

ai, AI (Artificial Intelligence), Artificial Intelligence, Conversational AI, digital transformation, Enterprise AI, Executive Interviews, Featured

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, AI (Artificial Intelligence), AI collaboration tools, AI coworking assistant, AI for teamwork, AI productivity, AI Workflow Automation, Artificial Intelligence, Claude Cowork, Context-aware AI, digital transformation, Future of Work AI, Spritle Blog, SpritleSoftware, Team productivity

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

adoption, agentic ai, agents, ai, AI (Artificial Intelligence), AI and Us, AI Business Strategy, AI in Action, Artificial Intelligence, automation, digital transformation, enterprise, Features, Finance, Finance AI, Inside AI, Insurance, World of Work

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

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI APIs, AI Automation, AI engineering, AI Infrastructure, AI Integration, Artificial Intelligence, digital transformation, Enterprise AI, Enterprise Automation, Enterprise IT, Enterprise Software, Enterprise Technology, Generative AI, LLM Limitations, Software engineering, Spritle Blog, SpritleSoftware, workflow automation

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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Vertical-First Agents: Why Industry-Specific AI Beats Generic Models

ai, AI (Artificial Intelligence), AI + Compliance, AI Accountability, AI Chatbots, AI Ethics, AI Governance, AI policy, AI regulation, AI safety, AI safety & ethics, Artificial Intelligence, Chatbot Safety, digital regulation, digital transformation, Enterprise AI, Enterprise Technology, Generative AI Risks, Responsible AI, Spritle Blog, SpritleSoftware

Over the past year, artificial intelligence has evolved rapidly—from simple question-answering systems to AI agents capable of executing real business actions. But as enterprises begin deploying AI across operations, one truth is becoming increasingly clear: Generic AI may impress. Vertical-first AI delivers results. Across healthcare, banking, finance, retail, logistics, manufacturing, and other regulated industries, organizations

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Building Resilient and Autonomous Enterprises 

agentic ai, ai, AI (Artificial Intelligence), Artificial Intelligence, digital transformation, Enterprise AI, Human-in-the-Loop, Observability, Responsible AI

From Always-On Intelligence to Enterprise Control  Just ahead of 2025, I had predicted that artificial intelligence would move decisively from experimentation to enterprise reality. That shift has now played out. Over the past year, AI has moved out of isolated pilots and into early production across core enterprise workflows. Agentic systems began executing multi-step tasks. Domain-specific intelligence started outperforming general models

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Why Most IT Teams Are Overpaying for Service Platforms — And How ME SDP Exposes the Truth

ai, AI (Artificial Intelligence), Artificial Intelligence, digital transformation, Enterprise IT, IT Budgeting, IT Leadership, IT Operations, IT Service Management, ITSM, ManageEngine, SaaS & Software, SaaS Cost Optimization, SaaS Development, ServiceDesk Plus, Spritle Blog, SpritleSoftware

For years, IT leaders have accepted one uncomfortable reality as “normal”:service management platforms are expensive, complex, and painfully slow to deliver value. Bloated contracts. Endless add-ons. Multi-year lock-ins.If you’re running ITSM in a mid-to-large organization, chances are you’ve questioned at least once: “Are we really getting what we’re paying for?” The truth is—most IT teams

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Why Big Vendor Lock-Ins Are Dying And ME SDP Is Leading the Revolution

ai, AI (Artificial Intelligence), Artificial Intelligence, digital transformation, Enterprise IT, Enterprise Software, IT Service Management, ITSM Tools, ITSM Trends, ManageEngine SDP, SaaS & Software, ServiceDesk Plus, Spritle Blog, SpritleSoftware, Vendor Lock-in

In the modern world of IT service management, organizations no longer want to be trapped by bloated contracts, opaque pricing, and endless onboarding cycles imposed by legacy ITSM vendors. The industry has changed — and so have expectations. For decades, enterprises gravitated toward monolithic, expensive platforms — even if they meant vendor lock-in, steep customization

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From Generative AI to Autonomous Enterprises: The Next Frontier in Digital Transformation

ai, AI (Artificial Intelligence), Artificial Intelligence, Business, digital transformation

From Generative AI to Autonomous Enterprises: The Next Frontier in Digital Transformation As telecommunications, media and technology organizations approach 2026, they face critical strategic decisions about autonomous system adoption that will define competitive positioning for the next decade. This article examines the strategic considerations TMT executives must address, from platform architecture choices to organizational transformation

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Edge Agents vs. Cloud Agents: Why the Wrong Choice Can Kill AI Performance

agentic ai, ai, AI (Artificial Intelligence), AI 2025 trends, AI Agents, AI latency, AI orchestration, AI scalability, Artificial Intelligence, autonomous systems, Cloud agents, cloud AI agents, cloud vs edge, digital transformation, edge ai, edge computing, Enterprise AI Strategy, hybrid AI architecture, On-Device AI, Spritle Blog, SpritleSoftware, Vision AI

Artificial Intelligence is no longer confined to massive servers or centralized clouds. As we move deeper into 2025, AI has become distributed, autonomous, and embedded in every layer of digital infrastructure. But with this shift comes a new strategic question for every engineering and business leader: Where should your AI agent actually live — on

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