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With Charles Xie (CEO, Zilliz), Alexandre Bonnet (Lead ML Solns Enggr, Encord), Hendrik Krack (Dev Advocate, Aparavi), Joe Maionchi (VP R&D, Aparavi).
Tue, Jul 16, 2024 @ 05:30 PM   FREE   Github HQ, 88 Colin P Kelly Jr St
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This is an in-person event! Registration is required in order to get in. Github will email you a form the day before the event, which you will need to complete for your access pass.

Topic: Connecting your unstructured data with Generative LLMs

What we'll do:
Have some food & refreshments. Hear three exciting talks about unstructured data & generative AI.
5:30 - 6:00 - Welcome/Networking/Registration
6:05 - 6:30 - Charles Xie, CEO, Zilliz
6:35 - 7:00 - Alexandre Bonnet, Lead ML Solutions Engineer, Encord
7:05 - 7:30 - Joe Maionchi, VP R&D, & Hendrik Krack, Developer Advocate, Aparavi
7:35 - 7:45 - Community demo
7:45 - 8:30 - Networking

Who Should attend:
Anyone interested in talking & learning about Unstructured Data & Generative AI Apps.

Talk 1: Milvus & Zilliz
Speaker: Charles Xie

Tech Talk 2: Garbage In, Garbage Out: Why poor data curation is killing your AI models (and how to fix it)
Speaker: Alexandre Bonnet
Abstract: Enterprises have traditionally prioritized data quantity, assuming more is better for AI performance. However, a new reality is setting in: high-quality data, not just volume, is the key. This shift exposes a critical gap - many organizations struggle to understand their existing data & lack effective curation strategies & tools. This talk dives into these data challenges & explores the methods of automating data curation.

Tech Talk 3: It's your unstructured data: How to get your GenAI app to production (and speed up your delivery)
Speakers: Joe Maionchi & Hendrik Krack
Abstract: So you've successfully built a GenAI app POC for your company -- now comes the hard part: bringing it to production. Aparavi addresses the challenges of AI projects while addressing data privacy & PII. Our Service for RAG helps AI developers & data scientists to scale their app to 1000s to millions of users using corporate unstructured data. Aparavi's AI Data Loader cleans, prepares & then loads only the relevant unstructured data for each AI project/app, enabling you to operationalize the creation of GenAI apps easily & accurately while giving you the time to focus on what you really want to do - building a great AI application with useful & relevant context. All within your environment & never having to share private corporate data with anyone - not even Aparavi.

Who Should attend:
Anyone interested in talking & learning about Unstructured Data & Generative AI Apps.

July 16, 2024

This is an in-person event! Registration is required to get in. Registration will close 2 days before the event. Co-sponsored by Aparavi, Encord, & Zilliz (maintainers of Milvus).

Can't make it in person? Join us virtually on Twitch:
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