​​AWS & Anthropic Gen AI Reception

​​Join us for an exclusive evening where AWS and Anthropic unite to showcase the future of generative AI development. This unique collaboration brings together leading experts from both organizations for an immersive experience in AI innovation and practical implementation.

​​This event is specifically designed to foster meaningful connections within the startup ecosystem while providing technical insights. Enjoy complimentary food and refreshments as you network with fellow founders, technical leaders, and AI experts.

​​During this session, you'll gain firsthand insights into the powerful integration of Amazon Bedrock and Anthropic Claude capabilities, exploring real-world applications and implementation strategies. Our technical experts will demonstrate how these cutting-edge technologies are revolutionizing application development and driving business transformation.

The evening offers a perfect blend of technical depth and networking opportunities covering:

• ​​Deep dive into Amazon Bedrock and Anthropic Claude integration patterns

• ​​Explore practical implementations through live demonstrations

• ​​Connect with fellow startup founders and technical leaders

• ​​Network with AWS and Anthropic experts.

​Featured Topics

• ​​​Demo of Vector search using Claude: Presented by: AWS AIML specialists Darren Hsieh and Purna Sanyal

• ​Claude Champions Showcase: Presented by: Jawhny Cooke and Jonathan Evans from AWS and Tobias Harrison-Noonan, Anthropic

​​Schedule

• ​​​5:30 PM: Doors Open

• ​​​5:30 PM - 6:30 PM: Event Check-in and Networking (Welcome drinks and appetizers served)

• ​​​6:30 PM - 7:30 PM: Presentations

• ​​7:30 PM - 8:30 PM: Networking

​House Rules

• ​It is mandatory to bring valid physical government ID to enter the AWS Builder loft (No Digital IDs will be accepted).

• ​There is no scooter/bike parking available in the building. If you plan to bring one, you will need to find parking options nearby.

• ​This open to the public builder-focused series aims to create a sustainable platform for knowledge sharing, product education, and community building within the AI development ecosystem.