Leveraging Emerging Technologies in Travel for Competitive Advantage
summary
Sabre Labs runs a hybrid cloud and Hadoop-based data stack (AWS Azure Oracle, MapReduce, Spark, Kafka, Cassandra) and holds 15 petabytes of data including 170 billion shops in 2018 (peak 20,000 tps, 300 TB raw shopping data/day, 1.8 trillion itineraries/month). Implementations include a recurrent neural net trained on 500 labeled passports that predicts first/last name on 100k entries at 85% accuracy, pattern-recognition detection of robotic shops, NLP to parse contract terms, chatbots for crew and customers, and blockchain pilots that aim for blockchain settlement <24 hours versus months.
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chapters (15)
- 0:00Start
- 0:33Leveraging Emerging Technologies for Competitive Advantage in Travel
- 4:30Shopping Application
- 16:11Artificial Intelligence
- 19:37External Forces
- 21:41Programming Languages
- 25:36Hybrid Strategy for Cloud
- 30:02Recurrent Neural Nets
- 30:58Robotic Shopping
- 33:08Intelligent Virtual Assistant
- 35:16Natural Language Processing
- 35:59Gartner Hype Cycle
- 38:56Digitized Ecosystems
- 42:42Quantum Computing
- 43:52Artificial Intelligence and Machine Learning
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