Clicerio Muñoz Pavón

Excellent breakdown by Bain & Company on Globant’s game-changing AI Pods as a Service model. The piece explains exactly how it works, its key benefits, and why forward-thinking enterprises are making the shift from traditional IT services. This is the future of our industry, as organizations are in need of outcome-driven delivery. If you want to understand how it works, this is a good start: https://lnkd.in/encJNnvr

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Vamos Madrid! ArisGlobal CEO Aman Wasan kicks off #AGBreakthrough26. 2025 was the year of ROI for our customers. We hear about the 7 lessons for successfully operationalizing AI. Key advice given that McKinsey & Company tell us that 70% of AI projects fail to meet their goals due to data quality and integration problems. #OperationalizingAI #LifeSciences #Pharmacovigilance #Regulatory

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Televisa Univision serves 300 million people worldwide. How do you build a data science function that drives 10x growth... not just reports on it? For Sergey F., VP of Data Science at Televisa Univision, the answer was a simple framework: make our own lives easier, our internal clients' lives easier, or make the company more money. This focus helped fuel a tenfold expansion of the digital business in four years. In this episode of High Signal, Sergey shares how his team is building modern data and AI capabilities inside the world's largest Spanish-language media company. We cover: 📈 Building a “household graph” to understand a massive, diverse audience 💡 Using embeddings for more than text to power truly smart recommendations 💰 How to frame a data team’s value in terms of revenue, not just models ⚠️ The practical risks of LLMs (and where simpler models often work better) 🎙️ Produced by Jeremy Hermann, Duncan Gilchrist, and yours truly at Delphina. Listen, watch, or read: Apple → https://lnkd.in/g8qYtW_w Spotify → https://lnkd.in/gwYd_Nzr YouTube → https://lnkd.in/gb2UWq3q Full notes → https://lnkd.in/g4H4teaP

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Bit odd innit? 👀 Pablo Ylarri 🎯 just dropped a great piece on this on the Product Marketing Alliance Pablo leads PMM for LATAM out of Buenos Aires, working across 14 countries in three languages. Pablo lives this problem daily so I trust his pov on this! The problem: Fragmentation pulls you apart Markets demand localization. Sales reps on the ground know their prospects better than anyone. They want messaging that feels local, tailored, and relevant. and... Leadership demands consistency. Product positioning, brand promise, and strategic narratives must be unified, or the company risks confusing customers, analysts, and investors. As a PMM, you sit in the middle of that tension. And in fast growing orgs, fragmentation can happen quickly: AKA... - Regional decks multiply - Translations lose nuance - Sales collateral drifts from the agreed narrative - Teams spend more time debating "what we say" than actually selling So, how do you solve this big challenge? Pablo says start here: 1) Single source of truth One core messaging framework. One transparent process for updates. No silent edits floating in Slack threads and old presentations. Sales can localize, but they start from the same base. 2) Align across languages, not markets Translation isn't mechanical, it's strategic. English emphasizes directness. Spanish requires precision in formality. Brazilian Portuguese favors conversational tone. Treat each translation as adaptation, not copy. 3) Build partnership with Sales Regional reps will improvise if materials don't reflect their reality. Involve them early in message testing. Establish regional champions. Celebrate when local input improves global narrative. 4) Flexibility within a framework Define non negotiables: core value prop, strategic narrative, differentiators. Give regions room to adapt delivery: local examples, nearby case studies, tone adjustments. 5) Communicate relentlessly with PMM peers Weekly syncs. Shared document reviews. Quick check-ins to avoid duplication. Silence creates inconsistency. Two PMMs can accidentally create two PMM philosophies. 6) Codify lessons into playbooks Every time you solve a fragmentation issue, document how to prevent it next time. Messaging frameworks. Enablement guidelines. Localization rules. Playbooks scale trust. P.S. What else would you add PMMs? Make sure you give Pablo a follow btw!

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The Death of the Storyboard The "Word Doc Storyboard" is the floppy disk of L&D... I still see Instructional Designers spending 3 weeks writing a text-based storyboard in Word or PowerPoint. Column A: "Audio Script" Column B: "Visual Description" (e.g., Show two people shaking hands). ❌ This is a 'Lossy' Format. You write a description. The stakeholder imagines one thing. The developer builds another. You spend the next 2 weeks fixing the disconnect. ✔️ The Agentic Shift (Rapid Prototyping): In 2026, we don't "write" storyboards. We "render" them. With Agentic AI tools, I don't send a stakeholder a script. I send them a Video Prototype generated in 5 minutes. Old Way: Read this script and imagine the video. New Way: Watch this 30-second AI-generated draft. Is this what you meant? The Efficiency Gap: ❌ Text Storyboard: 20 hours to write, 10 hours to review. ✅ AI Prototype: 30 minutes to generate, 5 minutes to review. ➡️ Stop asking stakeholders to "Imagine." Start asking them to "Validate." #InstructionalDesign #AI #Storyboarding #LAndD #FutureOfWork #AgenticAI #EdTech #Productivity

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Watch this if you lead localization and want execs to see you as a growth driver, not a cost center. Most localization teams are buried under product or marketing. They’re measured by words translated—not value created. In this webinar, Paula Hunter (Remitly) and Joaquin Muñoz (Life360) shared how they’re changing that narrative—positioning localization as a strategic partner across the org. Paula Hunter summed it up perfectly: “Localization touches absolutely every aspect of an organization — product, engineering, marketing, sales, finance, human resources. It’s very important that we have visibility into what’s happening on a strategic level, and make ourselves visible for the value we bring.” Joaquin explained how his team uses internal reporting and dashboards to translate localization activity into language that resonates with leadership. His advice? Know which levers to pull when justifying budget—especially in growth-stage environments. This wasn’t just a conversation about translation. It was about strategy, visibility, and business outcomes. If you missed it live, we’ve got the replay. Watch here → https://lnkd.in/gy8sQHXn Speakers: Paula Hunter – Sr. Technical Program Manager at Remitly Joaquín Muñoz – Localization Manager at Life360 Moderators: Brittany Wolfe– Director of Brand & Growth at Lokalise Brendan Kenney – VP of Partnerships at Acclaro

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In my previous post (Localization contributes to digital accessibility https://lnkd.in/dc-D6V9z), I talked about why localization supports accessibility by translating content and making products easier to read, hear, and use. That was the "why." The post received a good number of impressions, and many people liked the idea. I also got a few questions in my email web page asking for more practical examples. So here I am this week with a follow-up. A continuation of the localization and #accessibility topic, but this time, I’m bringing in our not-always-loved (but still very present) “friend”: AI 🤖 This post is all about the “how.” 📍 📝 NEW BLOG POST 📍 📝 ====================== The HOW on how to use AI in Localization for accessibility https://lnkd.in/dc-D6V9z AI is often seen as the enemy, as the devil. I've lost count of how many doomsday posts I've read over the past couple of years, saying translators are done or that AI will wipe out the entire #localization industry. But today, I want to extend a hand to AI (I hope I won't regret it!). What I really want to explore is this idea that keeps popping into my head: that together is (or might be) better. What about you? Where do you think AI can actually help us do better accessibility work in localization?

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AI can translate faster than ever—but can it tell the difference between Mexican and Castilian Spanish? Or catch the tone shift in formal vs. casual Japanese? Translation isn’t just about converting words. It’s about preserving meaning, intent, and cultural nuance. In this article, we explore: ✔️ How AI handles dialects and regional variations ✔️ Where it still falls short ✔️ Why human insight is still critical #AITranslation #Localization #LanguageServices https://hubs.li/Q03Bl03W0

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