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Microsoft Reactor

Microsoft Reactor에 가입하고 스타트업 및 개발자와 실시간 소통

AI를 시작할 준비가 되셨나요? Microsoft Reactor는 스타트업, 기업가 및 개발자가 AI 기술에 대한 다음 비즈니스를 구축할 수 있도록 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여해 주세요!

검색, 연결, 성장

Microsoft Reactor

Microsoft Reactor에 가입하고 스타트업 및 개발자와 실시간 소통

AI를 시작할 준비가 되셨나요? Microsoft Reactor는 스타트업, 기업가 및 개발자가 AI 기술에 대한 다음 비즈니스를 구축할 수 있도록 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여해 주세요!

돌아가기

Elastic October Meetup

7 10월, 2024 | 9:30 오후 - 11:30 오후 (UTC) 협정 세계시

위치: Toronto

주소: CIBC Square: 81 Bay St, Toronto ON M5J 0E7

  • 형식:
  • alt##In person직접 생성 및 전송하는 경우 (Toronto)

항목: 최신 데이터 및 분석

언어: 영어

THIS EVENT IS NOW CLOSED FOR REGISTRATION

This event is hosted in collaboration with the Elastic Toronto User Group

Session #1 Title: Establishing Trust and Limiting Risk: Lessons Learned from Building and Scaling an XDR Product
Abstract:
Building and deploying a security product to millions of users around the world is a monumental task. Maintaining that product and iterating it over time while rapidly resolving detection coverage gaps and mitigating performance issues and false positives can be even more complicated and difficult to manage. Not only does it require a significant amount of resources to establish and maintain a resilient testing & deployment framework, all relevant teams, from software developers to operations to researchers & detection engineers, need to have a common understanding of the development process and artifact lifecycle to ensure common understanding.
This talk covers a brief snapshot of our experience navigating through this journey with Elastic’s Security Intelligence team. We will cover the most important lessons learned along the way as well as highlight areas for improvement that could benefit all organizations building products in the security industry. These lessons will be an intersection of the technical capabilities needed to build & scale an endpoint product, but more importantly how to come together as a team across diverse backgrounds and skill sets to effectively keep users protected.

Session #2 Title: Developing a GenAI Assistant for Financial Services using Confluent Cloud, Elasticsearch Vector Database, and Amazon Bedrock
Abstract:
Join us to learn how to build a GenAI-powered assistant for financial services using Confluent and Elasticsearch vector database to boost employee productivity and customer satisfaction.
In this session, you will learn about:

  • Developing Kafka-driven RAG pipelines using Apache Flink® offering and the Elasticsearch Sink Connector
  • Elasticsearch Open Inference API

스피커

질문이 있는 경우 다음으로 문의하세요. reactor@microsoft.com