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Опубликовано 25 июля 2024, 19:05
Get a behind-the-scenes look at MAG's journey delivering innovative, human-centered AI solutions for smarter travel in collaboration with the AWS prototyping team.
MAG’s CTO, John Hudson, shares their vision for creating intuitive, data-driven airport journeys with our host, Sara Armstrong.
Joining the conversation, MAG’s Sr. Software Engineer, Alex Whitehorn, and AWS Prototyping Engineer, Val Cohen take us through developing an AI virtual assistant that understands multilingual customer inquiries by combining data sources like flights, maps and web content. Discover their use of AWS serverless, large language models, open-source tools, and insights on multilingual support, ethical AI guardrails, and fusing business and software expertise.
Chapters:
0:00 - Introduction to Manchester Airports Group's innovative vision
2:11 - The problem: Centralizing disparate airport data
3:11 - Building VAL: An AI virtual assistant for airports
6:38 - Technical architecture with AWS serverless, LLMs, open-source
9:50 - Tackling multilingual challenges using AI
19:35 - Defining success through experimentation and learning
21:20 - Implementing responsible AI guardrails
25:53 - From prototype to production-ready with AWS
31:03 - Closing thoughts on hands-on learning and partnerships
#GenerativeAI #AWSServerless #MultiLingualAI #VirtualAssistant #FutureAirports #PrototypingJourney #DigitalTransformation #HumanCentricAI #ManchesterAirports
MAG’s CTO, John Hudson, shares their vision for creating intuitive, data-driven airport journeys with our host, Sara Armstrong.
Joining the conversation, MAG’s Sr. Software Engineer, Alex Whitehorn, and AWS Prototyping Engineer, Val Cohen take us through developing an AI virtual assistant that understands multilingual customer inquiries by combining data sources like flights, maps and web content. Discover their use of AWS serverless, large language models, open-source tools, and insights on multilingual support, ethical AI guardrails, and fusing business and software expertise.
Chapters:
0:00 - Introduction to Manchester Airports Group's innovative vision
2:11 - The problem: Centralizing disparate airport data
3:11 - Building VAL: An AI virtual assistant for airports
6:38 - Technical architecture with AWS serverless, LLMs, open-source
9:50 - Tackling multilingual challenges using AI
19:35 - Defining success through experimentation and learning
21:20 - Implementing responsible AI guardrails
25:53 - From prototype to production-ready with AWS
31:03 - Closing thoughts on hands-on learning and partnerships
#GenerativeAI #AWSServerless #MultiLingualAI #VirtualAssistant #FutureAirports #PrototypingJourney #DigitalTransformation #HumanCentricAI #ManchesterAirports
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