Iris Otano, CSM❤️

Most FinOps teams can’t confidently answer one question: Are we actually getting a return on our cloud spend? In our 2025 Industry Insights Report, 78% of IT leaders said they still struggle to demonstrate cloud ROI. In Part 3 of our Inside the Execution Gap series, we explore: - What’s blocking cloud ROI from becoming measurable - Why tagging, forecasting, and optimization aren’t enough - How to connect FinOps work to outcomes that matter Read the final post in the series: https://lnkd.in/gtxCNakG

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How ready is your contact center for AI? RingCentral’s new AI Maturity Assessment gives leaders a data-driven roadmap for smarter AI investment. Wajih K. explains how the 10-minute test benchmarks organizations across five dimensions from agent support to strategic innovation and delivers tailored next steps. 🎯 Discover where your AI strategy stands: https://lnkd.in/eZPMBuc4 #AI #ContactCenter #CustomerExperience

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Summary of “Monster Transformation” by Ari Lightman, Rafeh Masood, and Gary Hirsch - the authors share that organizations succeed with AI when they treat transformation as disciplined learning rather than frantic change. Progress comes from steady momentum instead of grand gestures. When people stay curious, manage risk wisely, and keep adapting, AI becomes a source of durable progress rather than anxiety or noise. https://lnkd.in/gHnBA2pg

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Great read outlining some key thoughts to consider to ensure cohesion from strategy through execution and some common areas that are often overlooked that may cause momentum to slow.

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Most outsourcing issues happen in week one: unclear workflows, tool confusion, and too much back-and-forth. A simple fix is running onboarding like a system, not an experiment. Virtuali's Shadow Week is designed to reduce ramp-up risk with guided onboarding, clearer reporting, and a supported transition into BAU. Talk to us about how it works. https://lnkd.in/gBPsgVCp #Outsourcing #VirtualAssistant #Operations #Process #SME

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Scores that are difficult to understand quickly turn into scores that are difficult to trust. Most GTM teams don’t have a scoring problem, they have a confidence problem. So when a score shows up without context: 1. Reps ignore it 2. Managers override it 3. RevOps defends it 4. No one actually uses it Imagine your sales team asks, “Why is this hot?” And marketing says, “Because the model says so.” If it can’t be explained in plain language, it won’t be used in the field. Predictive AI-scores only works when teams can see the 'why': • Which signals mattered • Which buyers were involved • How engagement rolled up at the account or buying-team level If you can’t explore the data behind the score, it’s not intelligence, it’s a black box. Modern GTM teams need scoring that’s transparent, explainable and grounded in real buying behavior. At Leadspace, we believe trust is built when teams can explore their data, connect scores to buying teams, and clearly see what’s driving prioritization - enabling AI-scores to guide decisions instead of getting ignored. Clarity is what turns prediction into action. Leadspace’s Dynamic Data Intelligence solution offers that clarity. https://lnkd.in/gPDPhZ6w #AIScoring #RevOps #PredictiveScoring #DataTransparency #BuyingTeams #RevenueIntelligence #DynamicDataIntelligence

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1st pillar of enterprise-grade AI agent development: Technology → Build adaptable, compliant AI agents faster than ever. With intelligent orchestration, embedded micro-agents, and modular design, aiXplain helps teams move from brittle scripts to scalable agent systems. Scale AI like software, not experiments.

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Intellyx and Conviva report on why Digital Experience Analytics is what teams need to connect every agent interaction to real outcomes.

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