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Title & Speakers	Event
AWS re:Invent recap (AI/ML edition) 2024-01-25 · 23:00 Welcome to the first meetup of 2024! This session will recap the AI/ML services launched during AWS re:Invent 2023. Agenda: 6pm - 6:05pm: Opening remarks by Martin Paradesi (Capital One) 6:05pm - 7:05pm: AWS re:Invent recap (AI/ML edition) by Brooke Jamieson (AWS) 7:05pm - 7:30pm: Q&A + Raffle + closing discussion	AWS re:Invent recap (AI/ML edition)
New York Open Source Data Infrastructure Meetup - July 2023 2023-07-27 · 22:00 Are you interested in learning more about open-source data technologies? ✅ Do you want to network with local and international tech professionals in a fun, relaxed environment? ✅ Then come join us on Thursday, July 27th at DataDog, for an evening full of inspiring conversations and exciting talk by Brooke Jamieson, Senior Developer Advocate at AWS. Reserve your seat now for this free and exciting meetup! Fill out this the access list form for the event! Venue: DataDog, New York Program: 18:00 - 18:30 - Welcome + networking 18:30 - 19:30 - Talk by Brooke Jamieson (AWS) 19:30 - 20:00 - Food* and networking Talk Details: *Demystifying Vector Databases: Your Next Must-Learn Technology* Ever heard of Vector Databases and wondered what they are? This session is for you! Vector Databases use AI to convert various types of data into numeric representations, called vectors. This speeds up searches for similar data while also offering robust data management, reliability and access control. In this talk, we’ll demystify what Vector Databases are, their uses, benefits and potential challenges. We’ll cover how Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring and website search. We’ll also explore ow Amazon Relational Database Service for PostgreSQL supports the pgvector extension, an Open-source vector similarity search for Postgres, to store embeddings from ML models in your database and to perform efficient similarity searches. Join us to enhance your understanding of Vector Databases and spark ideas for your future projects. ----- * Please note that this is an alcohol-free event. Light bites will be provided. * By attending this event, you agree to abide by our community code of conduct.	New York Open Source Data Infrastructure Meetup - July 2023

Are you interested in learning more about open-source data technologies? ✅
Do you want to network with local and international tech professionals in a fun, relaxed environment? ✅

Then come join us on Thursday, July 27th at DataDog, for an evening full of inspiring conversations and exciting talk by Brooke Jamieson, Senior Developer Advocate at AWS.

Reserve your seat now for this free and exciting meetup!

Fill out this the access list form for the event!

Venue: DataDog, New York Program: 18:00 - 18:30 - Welcome + networking 18:30 - 19:30 - Talk by Brooke Jamieson (AWS) 19:30 - 20:00 - Food* and networking

Talk Details:

Demystifying Vector Databases: Your Next Must-Learn Technology

Ever heard of Vector Databases and wondered what they are? This session is for you!

Vector Databases use AI to convert various types of data into numeric representations, called vectors. This speeds up searches for similar data while also offering robust data management, reliability and access control.

In this talk, we’ll demystify what Vector Databases are, their uses, benefits and potential challenges. We’ll cover how Amazon OpenSearch Service makes it easy for you to perform interactive log analytics, real-time application monitoring and website search. We’ll also explore ow Amazon Relational Database Service for PostgreSQL supports the pgvector extension, an Open-source vector similarity search for Postgres, to store embeddings from ML models in your database and to perform efficient similarity searches.

Join us to enhance your understanding of Vector Databases and spark ideas for your future projects. -----

* Please note that this is an alcohol-free event. Light bites will be provided. * By attending this event, you agree to abide by our community code of conduct.

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