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10-11 September 2025

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6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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10-11 September 2025 | Jaarbeurs Utrecht Become an exhibitor? For visitors

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2024

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2024

Giving a lecture

Program Blog & Knowledge

Blog & Knowledge

Ontdek

Blog

Uitgelicht

6 Must-haves bij data governance

Interview: ‘Grote AI-dromen verwezenlijk je in kleine stapjes’

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Big Data Expo Vorm F (1) Big Data Expo Vorm E (1)

Just Eat Takeaway's Menu AI - Integrating restaurant menus from photo to platform

Wednesday 14:15 - 14:45
Lezingenzaal 8
Caio Benatti Moretti

Data Scientist (Xebia Data)

Linkedin Meer over deze spreker
Step into the shoes of a team faced with the herculean task of transcribing restaurant menus by hand. Each menu, a labyrinth of culinary offerings, can take an excruciating 2-4 hours to decode, demanding unwavering attention to detail amidst a jungle of artistic fonts and intricate designs. Now multiply that by 1700, the number of menus that land on the desks of JET every month only in UK. This is the very pain point that Menu AI promises to alleviate, setting the scene for a transformative solution we're eager to share with you. Join us for an insightful session on how JET integrates restaurant menus into its platform. Our talk will delve into the intricacies of Menu AI, from cloud architecture to the parsing of pictures of restaurant menus and how it and augments the productivity of humans in the loop. We will also get under the hood on how to leverage the power of multimodal models and their vision capabilities on parsing photos, describing menus in structured data, and the importance of mapping relationships among menu items. Moreover, we'll share insights into the significant cost savings realized by the project in Customer Services Operation costs.
Timon Likic

Data Scientist (Just Eat Takeaway)

Linkedin Meer over deze spreker
Step into the shoes of a team faced with the herculean task of transcribing restaurant menus by hand. Each menu, a labyrinth of culinary offerings, can take an excruciating 2-4 hours to decode, demanding unwavering attention to detail amidst a jungle of artistic fonts and intricate designs. Now multiply that by 1700, the number of menus that land on the desks of JET every month only in UK. This is the very pain point that Menu AI promises to alleviate, setting the scene for a transformative solution we're eager to share with you. Join us for an insightful session on how JET integrates restaurant menus into its platform. Our talk will delve into the intricacies of Menu AI, from cloud architecture to the parsing of pictures of restaurant menus and how it and augments the productivity of humans in the loop. We will also get under the hood on how to leverage the power of multimodal models and their vision capabilities on parsing photos, describing menus in structured data, and the importance of mapping relationships among menu items. Moreover, we'll share insights into the significant cost savings realized by the project in Customer Services Operation costs.
Step into the shoes of a team faced with the herculean task of transcribing restaurant menus by hand. Each menu, a labyrinth of culinary offerings, can take an excruciating 2-4 hours to decode, demanding unwavering attention to detail amidst a jungle of artistic fonts and intricate designs. Now multiply that by 1700, the number of menus that land on the desks of JET every month only in UK. This is the very pain point that Menu AI promises to alleviate, setting the scene for a transformative solution we're eager to share with you. Join us for an insightful session on how JET integrates restaurant menus into its platform. Our talk will delve into the intricacies of Menu AI, from cloud architecture to the parsing of pictures of restaurant menus and how it and augments the productivity of humans in the loop. We will also get under the hood on how to leverage the power of multimodal models and their vision capabilities on parsing photos, describing menus in structured data, and the importance of mapping relationships among menu items. Moreover, we'll share insights into the significant cost savings realized by the project in Customer Services Operation costs.

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