Skip to content
Languages
  • Deutsch
  • 한국어
  • Español
  • Français
  • English
  • Italiano
  • 日本語
  • Português
  • SNOWFLAKE DATA HEROES COMMUNITY OUTAGE
  • Deutsch
  • 한국어
  • Español
  • Français
  • English
  • Italiano
  • 日本語
  • Português

Virtual Hands-on Lab

Revolutionise Your Business with Generative AI – 3 Part Series

22 October and 4 November
2:00 PM AEDT | 4:00 PM NZDT | 11:00 AM SGT | 8:30 AM IST

WHAT TO EXPECT

Generative AI is not just a buzzword—it’s a transformative force revolutionising the way businesses operate and we’re here to prove it! By leveraging neural networks and deep learning algorithms, Generative AI identifies patterns within vast datasets and generates original content, from text to complex workflows. Join us for three virtual hands-on lab sessions to explore three key business use cases where this technology is making a significant difference

Whether it’s automating business intelligence by asking questions in natural language, streamlining document processing with Document AI, or transforming unstructured data into a conversational chatbot assistant, these sessions will show you how to harness the power of the very latest Snowflake Cortex features which leverage Generative AI to solve real-world challenges and unlock new possibilities for your organisation.

WHO SHOULD ATTEND

Virtual Hands-on Lab sessions cater to individuals ranging from beginners to those with extensive experience in using Snowflake. These sessions are tailored to help you initiate or enhance your skills and confidence in the Data Cloud. This includes IT Managers, Data Architects, Engineers, Scientists, Administrators, and Developers.

SPEAKERS

Adam Morton
Snowflake Data Superhero

Travis Murphy 
Senior Sales Engineer
Snowflake

REGISTER HERE

AGENDA I TIMINGS

2:00 PM AEDT | 4:00 PM NZDT | 11:00 AM SGT | 8:30 AM IST

Ended on 16 October 2024

Part 1 – From Queries to Conversations: BI meets AI with Cortex Analyst

This lab will guide you through using Cortex Analyst to transform how your organization handles business intelligence. Learn how to configure a Semantic Model and leverage natural language processing to enable business users to get the answers they need in real-time, bypassing the bottlenecks of traditional BI dashboards.

Ended on 22 October 2024

Part 2 – Automate and Accelerate: Mastering Document AI for Efficient Text Processing

Explore how Document AI can streamline the extraction of data from complex documents like invoices or financial statements. This session covers building a custom Document AI model, creating a data pipeline for continuous document processing, and deploying a Streamlit application for real-time document verification.

4 November 2024

Part 3 – Transforming Text with Snowflake Cortex: Building Intelligent Applications

Dive into advanced text processing with Snowflake Cortex, where you’ll learn to summarize, translate, and analyze text using task-specific LLM functions. Build an interactive Streamlit application that leverages these capabilities, showcasing how your business can derive actionable insights from unstructured data with ease.

Snowflake Inc.
  • Plataforma
    • Data Cloud
    • Arquitetura
    • preços
    • Snowflake Marketplace
    • Segurança e Confiança
  • Soluções
    • Serviços financeiros
    • Publicidade, meios de comunicação e entretenimento
    • Varejo e bens de consumo
    • Saúde e ciências da vida
    • Analítica de Marketing
  • Recursos
    • Biblioteca de recursos
    • Webinars
    • Documentação
    • Comunidade
    • Compras
    • Legal
  • Explore
    • Notícias
    • Blog
    • Tendência
    • Guias
    • Desenvolvedores
  • About
    • Sobre a Snowflake
    • Investidores
    • Liderança e direção
    • Empreendimentos de Snowflake
    • Carreiras
    • contato

Thanks for signing up!

  • Privacy Notice
  • Site Terms
  • Cookie Settings
  • Do Not Share My Personal Information

© 2024 Snowflake Inc. All Rights Reserved |  If you’d rather not receive future emails from Snowflake, unsubscribe here or customize your communication preferences