8:00 – 9:30

9:30  – 10:15

Join us for an exclusive keynote on productionising generative AI, where Matheus Guimaraes, Senior Developer Advocate at AWS, will explore the journey from business idea to production innovation powered by AI. Featuring insights from Anthropic's latest breakthrough, Claude 3.5, and a real-world success story from Manchester Airport Group, this session will showcase the power of AWS's generative AI stack in driving transformative results.

Speakers:

• James von der Fecht, Product Technology Director, Manchester Airport Group
• Matheus Guimaraes, Senior Developer Advocate, Amazon Web Services
  

10:15 – 10:45

10:45  – 11:30

GenAI has spawned a swarm of proof of concept activities across organisations, but very few are reaching production. The need to focus on clear outcomes, to build engagement across the organisation and ensure that data is well structured and fit for purpose is key in delivering success. Meet NewAssist, NewDay’s GenAI product born out of a hackathon to deliver compelling insights, recommendations and answers to their customer base. Learn from NewDay as they talk about their experience of going from proof of concept to production.

Speakers:

• David Bloch, Head of AI & Data Strategy, Amazon Web Services
  
• Sergio Zavota, AI Architect, NewDay

11:30  – 12:15

In this session, you will learn about operating an end-to-end data platform on AWS at scale. We will also hear from Flutter Entertainment, who have been using AWS for over a decade, on some of their learnings on managing their data at scale for a number of use cases such as game-play and player engagement, risk management, stakeholder reporting. You will also understand on how AWS worked with Flutter Entertainment serve for peak workloads, which has helped them provide a great customer experience for millions of users across their platform.

Speakers:

• Oana Sentanai, Head of Technology, Data & Analytics
• Sidhanth Muralidhar, Principal TAM, Amazon Web Services
  

12:15 – 13:15

13:15  – 14:00

Extracting insights from large text documents is a challenge for language models with limited context windows (even for those with context windows as large as thousands of tokens). In this session, learn how to leverage Amazon Bedrock and the Claude 3 family of large language models and a map-reduce-like technique to efficiently process and extract key information from lengthy legal documents such as company charters. Hear how Nubarium used this approach to build a product that can affordably process large corporate documents in minutes, consolidating the data into a comprehensive report. Attendees will gain practical strategies for tackling text analysis at scale using advanced language models and distributed processing.

Speakers:

• Amilcar Flores, CTO, Nubarium
• David Laredo, Senior Prototype Architect, Amazon Web Services

14:00 – 14:45

The Very Group is a digital-only retailer that offers over 2,000 brands and a variety of flexible payment options. Catering to fashion, electronics, home goods, and more, the group provides everything their 4.4 million customers might need. The Very Group recognized the potential of AI to enhance operations but also the risks of underperformance if not implemented correctly. In this session, learn about their thoughtful and strategic approach to AI implementation and their "AI Guild" - a governance framework ensuring AI projects are managed with appropriate controls. Discover how involving cross-functional teams made AI projects more scalable and production-ready.Get insights into one of their successful use cases: Generative AI Product Descriptions.

In partnership with AWS, The Very Group utilized Amazon Bedrock to generate AI-written product descriptions, resulting in a 50% reduction in time for their copywriting team – a remarkable efficiency gain for a business launching 120,000 new products annually. Join this session to learn from The Very Group's experience in scaling AI responsibly while unlocking its full potential. Gain valuable insights into their approach, best practices, and future plans for leveraging AI to drive innovation.

Speakers:

• Anna Grüebler, Senior GenAI/ML Specialist Solutions Architect, Amazon Web Services
• Michelle Williams, Data Product Owner, TVG
  

14:45  – 15:15

15:15 – 16:00

Join us to learn best practices and insights for simplifying and scaling data transformation, ML, and analytics with Redshift. Peak.AI will join AWS to share how they use Amazon Redshift to tackle three key data challenges: transforming large datasets, deploying machine learning at scale, and enabling reliable, real-time analytics. We'll discuss how Redshift helps clean, unify, and validate data; pragmatically offload ML tasks for maximum value; and leverage a semantic layer to ensure consistent, trustworthy answers to user queries using generative AI.

Speakers:

• Luke Dyer, Lead Product Manager, Peak.AI
• Josh Tingey, Research Engineer, Peak.AI
• Sandipan Bhaumik, Principal Analytics SA, Amazon Web Services

16:15 – 17:00

Join us in conversation with the BBC to find out about how they delivered a high performing real time data streaming platform within months using AWS streaming services to deliver real-time data ingestion, validation and enrichment at scale. Featuring AWS services including Amazon Managed Service for Apache Kafka, Amazon Managed Service for Apache Flink, and Amazon Eventbridge.

Speakers:

• Douglas Holland, Sr. Solution Architect - Analytics, Amazon Web Services
  
• John Ewing, Senior Architect, BBC
• Vivek Pandit, Principal Analytics Specialist - Sales, Amazon Web Services
  

17:00 – 18:00