Tetiana Torovets - Property, Personalisation and Search Systems

11/08/24 • 58 min

In this episode, we sit down with Tetiana Torovets, Head of Data Science at QuintoAndar. Tetiana shares her journey from banking and consulting in FinTech to leading a team at ThredUP and now at QuintoAndar.

We explore the intricate challenges of creating recommender systems for marketplaces, the balance between classical machine learning and the latest neural networks, and the application of AI-driven search assistants.

Tune in for insights on metrics, experimentation, and the future of AI in property tech.

✅ Tetiana's Career Journey in Data Science
✅ Differences in Machine Learning Across Industries
✅ Challenges in Marketplace Recommendations
✅ Technical Insights and Multi-Objective Models
✅ Search Assistants and Future of Property Tech
✅ Leadership and Hiring in Machine Learning

Tune in for insights on metrics, experimentation, and the future of AI in property tech.

Previous Episode

Jan Krasnodebski - Recommender Systems, Pricing and Travel

Have you ever wondered why and how certain holidays and flights are priced then recommended?

In this episode of What AI Means for Us by NeuralRec. Chris is joined by Jan Krasnodebski, recommender systems and pricing subject matter expert. With more than 13 years of experience at Expedia and a strong background in pricing and recommendations, Jan shares his expertise on several key topics:

✅The crucial role of pricing in business strategy and its impact on profitability.
✅Unique challenges are faced in pricing for various industries, including med tech and travel.
✅How generative AI is transforming pricing and recommendations, and its current limitations.
✅Multi-stakerholder recommendations, managing them effectively.
✅The integration of AI in booking platforms, enhancing personalization and user experience.
✅Handling ethical implications and ensuring fairness in AI models.
✅Skills and leadership qualities required for success in AI-focused roles.

Join us for a deep dive into the dynamic world of pricing and AI, and how these elements shape the modern travel industry.

Next Episode

Marco Del Tredici - Agentic AI, LLM Evals and Research

In this episode, we chat with Marco, who is extremely passionate and accomplished in NLP research; with a diverse background from the University of Amsterdam to industry giants like Amazon and Cohere. Marco shares his unique transition from academia to industry, his work on fake news detection, and his contributions to advancements in Amazon Alexa's conversational abilities.

We dig into the future of Large Language Models (LLMs), the challenges with LLM evals, and the promise of AI agents in simplifying daily tasks. Marco also discusses the emerging research directions and the potential of AI agents becoming integral to our daily lives.

00:00 Introduction and Guest Welcome
01:01 Background and Research Journey
06:28 Transition from Academia to Industry
10:13 LLMs and Their Future
15:10 Evaluating LLMs
23:43 Interpretability and Explainability
28:50 Understanding AI Agents
37:26 Research and Future of AI Agents
52:14 Predictions and Closing Remarks