Generative AI for Travel & Hospitality (prototype in 6 weeks)

DataArt AI/ML Lab’s focus has always been on capturing the recent innovations, like Generative AI, and guiding the customers on how to start in the new topic, facilitating hands-on experimentation and real-world feedback from the clickable prototypes. With a proven track record of 40+ successful Generative AI prototypes we are looking to help stakeholders gain a firsthand understanding of how large language models can transform their business, while also recognizing the challenges that must be addressed. Travel and hospitality companies are using tailored Generative AI solutions for a variety of internal and external processes. The most prominent use cases being:

• Customer Service & Communications: implementing smart customer centers, agent desktop tools, chatbots, question answering.

• Operational Efficiency: streamlining processes such as information extraction and unified helpdesk solutions.

• Content Customization: personalization of content and descriptions and catering to diverse advertising goals.

• Reputation Management: monitor sentiment and manage online reputation.

• Developer Empowerment: boosting developer productivity and efficient creation of requirements.

As an AWS Travel and Hospitality Competency Partner, DataArt understands travel distribution, guest experience, and travel agency operations. This experience comes from working with customers like HotelTonight, IDeaS, Priceline, Rappi Travel, Skyscanner, Travelport, VENZA, and Volara, among others. Over a period of 6 weeks, DataArt team will work with your business and technical stakeholders in these stages:

1. Use Case Identification (1 week): Our team will work closely with you to define your business objectives and identify the AI use case that aligns with your goals.
2. Experimentation and Development (4 weeks): The DataArt team will explore the data, experiment with different models on AWS Bedrock, enhance the results with advanced prompt engineering techniques, and create a simple API or UI for testing the approach.
3. Deployment and Planning (1 week): The final phase focuses on deploying the model on your AWS cloud and planning the next improvement phases, like fine-tuning and scaling.

After the last stage your team will receive:

• Prototype: Functioning prototype demonstrating the implementation of the agreed Generative AI use case, ready for integration in subsequent project phases.

• Solution Design: AI solution design and production integration planning with pre-computed cloud costs.

• Project Plan: A complete project plan for integrating the AI solution into your existing ecosystem with a defined team structure and budget for the project's subsequent phases.

• Other Use Cases: Potential Generative AI use cases ideas for your organization, based on DataArt AI experience.