JANZZ.technology the podcast

JANZZ.technology

A JANZZ.technology podcast series where we give you an insight into the world of occupational data and recruitment technologies. Topics will range from big data to real artificial intelligence, natural language processing, the future of work and our main asset: ontology.

  1. 10/01/2025

    Teaching Machines Arabic: Why Language Matters for Fair Job Matching | Season 04 // Episode 03/07

    What does it really mean when someone says, “I speak Arabic”? For humans, it’s already complex: Modern Standard Arabic for schools and news, plus dozens of dialects in daily life. Now imagine what happens when a machine tries to process it — right-to-left writing, missing diacritics, and a root system that turns a few letters into dozens of meanings. No wonder most AI tools fail. In this episode, we uncover why Arabic is one of the toughest languages for machines — and why that matters for fair, global job matching.

    13 min

  2. 09/24/2025

    Staying Relevant: Drift Detection in Labor Market AI | Season 04 // Episode 02/07

    How do you keep AI systems accurate in a world that never stops changing? In this episode of the JANZZ.technology Podcast, host Laura Flamarich sits down with Alejandro Jesús Castañeira Rodríguez (Principal Data Scientist) and Felipe Andrés Araneda Zúñiga (Junior Data Scientist) to explore one of the biggest challenges in applied AI: data drift. From sudden shifts in job market trends (hello, “TikTok Growth Manager”) to evolving role descriptions across multiple languages, drift can quietly erode model performance if left unchecked. Together, our guests break down: What data drift is and why it matters in HR tech. Real-world examples from healthcare, fraud detection, and the labor market. How drift detection works — from embeddings and PCA to clustering and retraining. Why monitoring models is like giving them regular health check-ups. How JANZZ.technology uses drift detection to stay ahead of emerging roles and skills. Whether you’re a data scientist, HR professional, or just curious about how AI stays relevant in real life, this conversation will give you fresh insights into building trustworthy, future-proof AI systems. 🎧 Listen now and discover why drift detection is the unsung hero of AI in the labor market.

    20 min

  3. 08/22/2025

    Beyond Translation: Building Smarter Semantic Job Matching with JANZZon! | Season 04 // Episode 01/07

    Languages that look alike aren’t always as similar as they seem. In this episode, we dive into the fascinating nuances between Spanish and Portuguese — two languages that share roots but hide subtle semantic traps that can create real-world confusion. From false friends like embarazada vs. embaraçada to job titles that shift meaning across borders, we explore how these differences affect labor market data, job matching, and AI. Join our ontologists, Sara Noriega and Susana Pereira, as they reveal how JANZZon!, our multilingual ontology, captures context, meaning, and expertise to bridge these linguistic gaps — ensuring smarter, fairer, and more precise global job matching.

    17 min

  4. 08/20/2025

    Far From Home: #KaburAjaDulu and the Realities of Indonesian Migrant Workers Abroad | Season 3 // Episode 07/07

    In this final episode of our podcast series, host Laura Flamarich is joined by Hesti Aryani, Business Development Manager for Indonesia at JANZZ.technology, to explore one of the most complex and moving topics from our latest white paper: Indonesian migrant workers. From the social media trend #KaburAjaDulu (“run away first”) to the hard truths behind overseas employment, Laura and Hesti unpack both the professional and deeply personal aspects of working abroad. They discuss the scale of Indonesian migration, the split between low-skilled and high-skilled labor, the stereotypes that persist, the challenges of recruitment and regulation, and the sacrifices made in pursuit of opportunity. Whether working as domestic helpers, construction workers, engineers, or teachers, millions of Indonesians are part of a global story of resilience, remittances, and reinvention. This episode highlights not just the numbers — but the human realities behind them. Listen in to hear the courage, strategy, and tough choices that shape the lives of Indonesians working far from home. Read the full white paper, Far From Home: Stories of Indonesian Migrant Workers on JANZZ Labor Market Mismatch

    15 min

  5. 06/04/2025

    Back to the future: Why Ontologies Matter More Than Ever in AI | Season 03 // Episode 06/07

    🎙️ In AI, real intelligence isn’t about having more data; it’s about understanding it. In this episode, we unpack why the most advanced AI systems of tomorrow must be rooted in the overlooked foundations of yesterday. From the hype of large language models (LLMs) to the quiet power of ontologies, we explore how structured knowledge—not just data—is the key to real intelligence. Learn how we turn big data into smart data by creating the most powerful knowledge graph of HR data on the market, helping organizations make decisions with clarity, not just speed. Listen now and discover how adopting ontology-driven AI can revolutionize your HR solutions. Stop guessing. Start knowing. 🎧 Listen to the last episode on SpotifyEpisode 05/07 on Spotify Tune in for a deep dive into data semantics, classification systems, and why it matters in today's tech-driven world. 📘 Blog: "Ontology and Taxonomy: Stop Comparing Things That Are Incomparable"Read the article A sharp look at why ontologies and taxonomies serve different purposes — and why confusing them leads to bad data interpretation. 📊 Blog: "Lost in Big Data"Read the article Explore how big data can become meaningless without the right structure and context — and how semantic technologies can help.

    26 min

  6. 03/21/2025

    ¿Por qué los LLMs no pueden contratar? JANZZ.technology redefine la IA en la contratación

    ¿Puede la IA reemplazar a los reclutadores humanos? La respuesta es no. En este episodio, desmentimos los mitos sobre la IA en el reclutamiento, revelamos los sesgos ocultos en los modelos de lenguaje y analizamos cómo JANZZ.technology está liderando el camino en la creación de soluciones de contratación más éticas y centradas en las personas. JANZZ.technology combina el poder de la inteligencia artificial con la experiencia humana para mejorar la selección de talento, reduciendo sesgos y aumentando la eficiencia en los procesos de contratación. Descubre por qué la IA no puede sustituir el toque humano en la búsqueda y evaluación de candidatos. 🎧Edición en español: Temporada 03 // Episodio 05

    16 min

  7. 03/14/2025

    Why LLMs Can't Hire? JANZZ.technology Redefines AI in Recruitment | Season 03 // Episode 05/07

    In this episode, we dive deep into the limitations of Large Language Models (LLMs) in the recruitment industry and explore how JANZZ.technology is revolutionizing AI for hiring. We discuss the key challenges of using LLMs in recruitment, from bias to lack of human intuition, and how JANZZ.technology’s innovative approach is reshaping the way businesses approach talent acquisition. Tune in to discover how AI can evolve beyond the current boundaries, making recruitment smarter, fairer, and more efficient for the future.

    25 min

  8. 03/03/2025

    Ανάλυση δεδομένων δεξιοτήτων

    Η Λάουρα Φλαμάριχ παίρνει συνέντευξη από την Ιωάννα Κατσαούνη Άννινου, Διευθύντρια Επιχειρηματικής Ανάπτυξης για την Ελλάδα και τη Νοτιοανατολική Ευρώπη της JANZZ.technology

    6 min
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A JANZZ.technology podcast series where we give you an insight into the world of occupational data and recruitment technologies. Topics will range from big data to real artificial intelligence, natural language processing, the future of work and our main asset: ontology.

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