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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.
17 Episodes
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In the season finale, Laura Flamarich hosts Connie Casanova, the Executive Assistant & Special Projects at their company, JANZZ.technology, they explore the past, present, and future of HR tech. The conversation touches on JANZZ.technology's ontology, its distinct HR tech approach, and the various entities benefiting from their solutions. They also discuss the evolving landscape of HR tech, which includes the integration of AI and the importance of data protection regulations.
Join us in our latest episode as we explore the world of AI ethics, with a special focus on HR tech. Our guest, Yahel Appenzeller, delves into the importance of ethics in AI, sharing real examples of bias and offering strategies for fair, transparent, and trustworthy AI in HR. Listen on JANZZ.technology or contact us for more.
In this 5th episode of the 2nd season of the JANZZ.technology podcast, we're diving deep into the world of AI, breaking down the differences between explainable and interpretable AI. You'll learn how these concepts impact responsible AI adoption, the challenges of accurate data processing, and what the evolving AI policy landscape means for all of us. Join us as we unveil the secrets behind ethical AI and its role in shaping our fast-changing reality. Tune in for a conversation that will reshape your understanding of AI's role in society.
LEARN MORE ABOUT THE TOPIC: https://janzz.technology/interpretable-ai-in-hr-tech-the-only-way-of-understanding-machine-decisions/
人材マッチングソリューションを開発している弊社ですが、
今回は「画一的なスキルセット」をテーマにJANZZ Technologyのオントロジチームの社員がお話しします。
AIの変革が人材業界に与える影響とは？
職種ごとに求められる画一的なスキルセットはあるのか？
資料請求はこちら: https://janzz.technology/contact/
Skills may define jobs, but who defines the skills? Listen to this episode to learn about standard skill profiles and job optimizers.
Contributor: Yeonjoo Oh, Senior Ontology Modeler, JANZZ.technology
Order the white paper at https://janzz.technology/contact/
Discover in this episode how and why JANZZ.technology uses human intelligence to create artificial intelligence that truly deserves its name.
Contributor: Theodora Sykara Lekaki, Ontology Maintenance & Support, JANZZ.technology
Host: Laura Flamarich
Covered in this episode: JANZZ.technology: ‘So clever I don’t understand a word of what I am saying’ – AI’s potential for handling text-based data is far from unlimited.
Join us in this episode to find out more about what we need to get close to the perfect (job) match. Which aspects to consider - and which NOT to consider.
Contributor: Yahel Appenzeller, Ontology Maintenance & Support, JANZZ.technology
Host: Laura Flamarich
Covered in this episode:
White Paper on Artificial Intelligence: a European approach to excellence and trust.
But not like the ones you can get on dating apps… In this new episode, Yahel Appenzeller from our Ontology Curator team helps us understand how matching works – one of JANZZ.technology’s core competences.
Contributor: Yahel Appenzeller, Ontology Maintenance & Support, JANZZ.technology
Host: Laura Flamarich
Tertarik dengan dunia teknologi SDM dan teknologi semantik? Episode pertama podcast JANZZ.technology ini memberi wawasan dari sudut pandang para ahli.
Skills are getting a lot of attention these days - from businesses, government institutions, policymakers, researchers, and many others. But what exactly is a skill? In this episode, we speak with Stefan Winzenried, the CEO and founder of JANZZ.technology about skills data.
Contributor: Stefan Winzenried, CEO and Founder of JANZZ.technology
Host: Laura Flamarich
You know that new data alone does not necessarily equal new intelligence. In this episode Jennifer Jayne Jakob, Technical Writer and Solutions Documentarian deconstructs and delves into the world of Smart Data.
Contributor: Jennifer Jayne Jakob, Technical Writer & Solution Documentalist, JANZZ.technology
Host: Laura Flamarich
Anyone who uses online job search services has undoubtedly encountered seemingly obvious or even ridiculous mismatches. Many of these mismatches are based on the inadequate handling of education-related information, JANZZ's Ontology Maintenance and Support Timothy Sperisen explains in this episode.
Contributor: Timothy Sperisen, Ontology Maintenance & Support, JANZZ.technology
Host: Jingyu Sun
Covered in this episode:
JANZZ.technology white paper: Education Zones – Bridging the Gap Between Candidate Education and Employer Requirements in Online Job Matching.
If you are at a loss on how to generate useful data for job searches, this program is for you. Join Alejandro Jesús Castañeira Rodríguez, Principal Data Scientist, as he delves into the complexities of Mastering Occupational Data.
Contributor: Alejandro Jesús Castañeira Rodríguez, Principal Data Scientist, JANZZ.technology
Host: Laura Flamarich
Understand why it is essential to have a strong team of translators like Sara Noriega, specialized in the HR field to supervise and train all Deep Learning (DL) processes at JANZZ.technology.
Contributor: Sara Noriega Turatti, Ontology Maintenance & Support, JANZZ.technology
Host: Laura Flamarich
What is an ontology or knowledge graph? In this program, ontologist and terminologist Yeonjoo Oh help us understand what they are and their importance.
Contributor: Yeonjoo Oh, Ontology Maintenance & Support, JANZZ.technology
Host: Laura Flamarich
Covered in this episode:
ILO report: The feasibility of using big data in anticipating and matching skills needs.
Interested in the world of HR tech and semantic technologies? This first episode of the JANZZ.technology podcast gives you insights from a market leader’s perspective.
Contributor: Stefan Winzenried, CEO and Founder of JANZZ.technology
Host: Laura Flamarich
Introduction to the JANZZ.technology podcast led by Jingyu Sun and Laura Flamarich. A JANZZ.technology podcast series where we give you an insight into the world of occupational data and recruitment technologies.
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