Description

Most teams ask, “Which model should we use?” Federico Nagy (Co-founder, WayToGo Data) flips it: start with the problem, fix the data, then choose the tech. With 10+ years across healthcare, banking, fintech, telco, and insurance, Federico shows how leaders turn messy data and vague AI goals into practical wins.

In this episode, you’ll learn how to:

• 🧭 Lead with problems, not tools: Tie AI to clear business outcomes (revenue, cost, CX) or don’t do it.
• 🧱 Get your data house in order: Pipelines, quality, and simple BI often beat fancy models.
• 🪜 Crawl → Walk → Run: Manual → no-code → fully automated (with human-in-the-loop and evaluation).
• 🎯 Personalize at scale: From regulated, client-specific newsletters to smarter channel-native social posts.
• 🔒 Ship responsibly: Governance, fail-safes, and model evaluation windows before letting agents act.
• 👥 Win the people side: Replace AI fear with curiosity, role-specific upskilling, and quick, scoped pilots.

Highlights & Playbook

• Data > model: The model is the smallest box in a successful data product—data quality drives results.
• Three-tier delivery:

1. Manual (Claude/GPT) to prove value
2. No-code to think in systems (triggers → actions)
3. Automated with tests, guardrails, and review

• Human checkpoints: Agentic workflows need evaluation visibility before you remove approvals.
• Start small, stack wins: Simple dashboards or cleaned CRMs can unlock more ROI than a new LLM.

Federico’s 90-Day MVP Roadmap (Healthcare & beyond)

Zero→One (or One→Two) program for startups/scaleups: business definition, gap analysis, pilot support, team upskilling, plus 1-year follow-on coaching.

🔗 Connect with Federico Nagy

🌐 WayToGo Data: https://waytogodata.com

👉 LinkedIn: https://www.linkedin.com/in/federiconagy

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