Why Your Agents Fail — & Why Booking.com's Don't
Автор: VentureBeat
Загружено: 2025-12-03
Просмотров: 417
Описание:
We built AI agents by accident... and it worked. 🤯
In this episode of VentureBeat’s Beyond the Pilot, we go inside the engineering brain of Booking.com with Pranav Pathak (Director of Product Machine Learning). While most companies are still figuring out how to use a chatbot, Booking.com is orchestrating billions of daily predictions.
Pranav reveals how they "stumbled" into agentic architectures before the term even existed, how a simple text box revealed a massive missed revenue opportunity (the "Hot Tub" story), and exactly how they stack LLMs, RAG, and Orchestrators to handle millions of travelers without breaking the bank.
If you are building Enterprise AI, this is the blueprint for moving from "cool demo" to production scale.
🚀 In this episode, we cover:
The "Hot Tub" Revelation: How free-text AI search exposed features customers desperately wanted but couldn't find.
Real ROI Metrics: How LLMs drove a 2x increase in topic detection accuracy and freed up 1.5x of agent bandwidth.
The Booking.com AI Stack: A full breakdown of their Orchestrator → Moderation → Agent → RAG architecture.
Latency vs. Intelligence: Why they don't use GPT-5 for everything and how they decide between small models and big brains.
The Memory Problem: How to build AI that remembers user preferences without being "creepy”.
00:00 Introduction to Agentic Architectures
00:30 Meet Pranav Pathak from Booking.com
01:24 Evolution of Travel Recommendations
03:41 Impact of Gen AI on Customer Service
07:29 Building an Effective AI Stack
10:32 Agentic Systems and Best Practices
13:45 Choosing Between Building and Buying AI Solutions
18:51 Evaluating AI Models for Business Use
24:10 Challenges in Human Evaluation
25:06 Recommendation System and Data Utilization
27:26 Innovations in Travel Search
29:04 Journey and Challenges in ML Integration
32:08 Managing Memory and User Data
38:07 Future of Travel Assistance
41:33 Advice for New AI Integrations
43:57 Final Thoughts and Farewell
🔗 LINKS & RESOURCES:
OutShift by Cisco: outshift.cisco.com
VentureBeat: www.venturebeat.com
#ArtificialIntelligence #GenAI #Bookingcom #MachineLearning #AgenticAI #LLM #TechPodcast #enterpriseai
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