Saltar e ir al contenido
Languages
  • Deutsch
  • 한국어
  • Español
  • Français
  • English
  • Italiano
  • 日本語
  • Português
EMPEZAR GRATIS
  • Deutsch
  • 한국어
  • Español
  • Français
  • English
  • Italiano
  • 日本語
  • Português

SNOWFLAKE DISCOVER

Discover the possibilities.
Explore your potential with the AI Data Cloud.

10 Sessions | Live – Virtual
APAC | 8 – 11 July

Register – AEST | NZST | SGT I HKT – Time Friendly    
Register – IST I SGT – Time Friendly           


WHAT TO EXPECT

Snowflake Discover is a free, live, online program designed to inform, share and explore what is possible with the AI Data Cloud. The content will highlight local and global best practices across data, applications, and AI. Tailored for data professionals at different stages of familiarity with the AI Data Cloud, the event will cover Level 100 and 200 topics through 10 unique sessions, each offering Q&A.


WHAT YOU WILL EXPLORE & LEARN

DAY 1 – MONDAY 8 JULY
2:00 PM AEST | 4:00 PM NZST I 12:00 PM SGT
  • Virtual Hands-on Lab: Introduction to Machine Learning with Snowpark ML
DAY 2 – TUESDAY 9 JULY
11:00 AM AEST | 1:00 PM NZST I 9:00 AM SGT
  • Data Cloud Summit Highlights – Data and AI Innovations
  • Introduction to Data Science on Snowflake
  • Simplified end-to-end MLOps in Snowflake
  • Getting Started with Snowflake Cortex ML
DAY 3 – WEDNESDAY 10 JULY
11:00 AM AEST | 1:00 PM NZST I 9:00 AM SGT
  • Snowflake for Generative AI and Data Governance
  • Snowflake Notebooks Overview and Git Integration
  • Building a RAG based chatbot with Streamlit and Snowflake Cortex
  • Snowflake Feature Store: Putting the Data in Data Science
DAY 4 – THURSDAY 11 JULY
2:00 PM AEST | 4:00 PM NZST I 12:00 PM SGT
  • Virtual Hands-on Lab: Generative AI on Snowflake Bootcamp

 

WHO SHOULD ATTEND

This edition of Snowflake Discover focuses on building the future together with AI and apps and is ideal for data professionals, IT Managers, Data Architects, Engineers, Scientists and Administrators. The event will share deployment best-practices and provide you with the opportunity to have your questions answered via live Q&A with the Snowflake technology team.

REGISTER

AEST | NZST | SGT | HKT (AM) TIME FRIENDLY

To register for IST I SGT I HKT (PM) Time Friendly click here

CONTENT LEVEL GUIDE

Level 100 - Introductory

Sessions provide a step-by-step overview of the topic, designed for professionals that are new to the subject area

Level 200 - Intermediate

Sessions provide technical deployment best-practice including demos, designed for professional that have an introductory understanding of the subject area

AGENDA – AEST | NZST | SGT I HKT (AM) – TIME FRIENDLY

For IST I SGT I HKT (PM) – Time Friendly – please click here.

8 July 2024

2:00 PM AEST | 4:00 PM NZST I 12:00 PM SGT

Level 100 - Virtual Hands-on Lab: Introduction to Machine Learning with Snowpark ML
Descripción de la sesión

Explore what’s new in Snowpark for Machine Learning. You will set up your Snowflake and Python environments and build an end to end ML workflow from feature engineering to model training and batch inference using Snowpark ML.

9 July 2024

11:00 AM AEST | 1:00 PM NZST I 9:00 AM SGT

Level 100 - Data Cloud Summit Highlights - Data and AI Innovations

Descripción de la sesión

The 2024 Data Cloud Summit saw a long list of new innovations, particularly in the AI and Applications space. Natalie Mead kicks off our Discover AI sessions looking at the highlights with the team.

12:00 PM AEST | 2:00 PM NZST I 10:00 AM SGT

Level 100 - Introduction to Data Science on Snowflake
Descripción de la sesión

Discover how to kickstart your data science projects on Snowflake with this session. Learn the foundational features and techniques to leverage Snowflake’s powerful data platform for efficient and scalable data science workflows.

1:00 PM AEST | 3:00 PM NZST I 11:00 AM SGT

Level 200 - Simplified end-to-end MLOps in Snowflake

Descripción de la sesión

MLOps plays a key role in delivering real business solutions that rely on data science models. This session explores how to build an end to end MLOPS in Snowflake for ML use cases.

2:00 PM AEST | 4:00 PM NZST I 12:00 PM SGT

Level 200 - Getting Started with Snowflake Cortex ML

Descripción de la sesión

Learn how Snowflake’s ML powered functions empower SQL analysts to build ML models at ease without data science background.

10 July 2024

11:00 AM AEST | 1:00 PM NZST I 9:00 AM SGT

Level 200 - Snowflake for Generative AI and Data Governance

Descripción de la sesión

In this session we’ll explore Snowflake’s generative AI features, data governance capabilities and implementation for various use cases.

12:00 PM AEST | 2:00 PM NZST I 10:00 AM SGT

Level 200 - Snowflake Notebooks Overview and Git Integration
Descripción de la sesión

This session provides an overview of Snowflake Notebooks and demonstrates how to easily run the notebooks in both Data Warehouse (DW) runtime and container runtime environments to streamline your data workflows. We will also explore how to integrate notebooks with Git for effective version control and collaboration.

1:00 PM AEST | 3:00 PM NZST I 11:00 AM SGT

Level 200 - Building a RAG based chatbot with Streamlit and Snowflake Cortex
Descripción de la sesión

This session will focus on interacting with data on Snowflake using Cortex AI, large language models (LLMs) and retrieval augmented generation (RAG).

2:00 PM AEST | 4:00 PM NZST I 12:00 PM SGT

Level 200 - Snowflake Feature Store: Putting the Data in Data Science
Descripción de la sesión

How Snowflake’s new Feature Store can be used to ingest and manage features through all stages of the ML lifecycle, from feature engineering through to model inference.

11 July 2024

2:00 PM AEST | 4:00 PM NZST I 12:00 PM SGT

Level 200 - Virtual Hands-on Lab: Generative AI on Snowflake Bootcamp
Descripción de la sesión

Join us in this hands-on lab to learn how seamless it can be to use integrated and easy to use AI infrastructure to quickly build and deploy scalable and secure apps. At the end of this lab, you will have experience in building chatbots and other types of AI applications using the latest features in Snowflake Cortex and Streamlit.

SPEAKERS

Connect with me on LinkedIn

Natalie Mead has focused on building technical go to market data strategies at a global level for over 25 years. She helps companies extend their technical focus from features and details into large scale business solutions to drive material organization changes.

Currently, Natalie is the Vice President of the APJ Sales Engineering team at Snowflake where her team builds architectures around the Snowflake Data Cloud. Her focus ranges from Data Science, Data Engineering, Applications to Data Collaboration and Snowflake Marketplace Solutions.

Previously, Natalie was the Senior Director of the Global Field CTO Office at Snowflake, where she oversaw the programming and vision of Principal Architects in security and workload platforms within the Sales Engineering organization. She and her team focused on driving early vision and adoptions of the Snowflake Products and Engineering roadmap to the field and end users for a complete, actionable view of the Snowflake Data Cloud.

Natalie Mead

VP, Sales Engineering

Snowflake

Natalie Mead

VP, Sales Engineering

Snowflake

Connect with me on LinkedIn

Rishu has 18+ years of Information Technology experience in the solution design and architecture, strategic design of future data platforms and roadmaps, predominantly focused on data and Information Management – particularly cloud native data platforms and technologies, big data, analytics, Machine Learning, Business Intelligence capabilities, Data Management and Artificial Intelligence.

Rishu Saxena

Principal Architect, Machine Learning, Field CTO Office

Snowflake

Rishu Saxena

Principal Architect, Machine Learning, Field CTO Office

Snowflake

Dash Desai, Sr Developer Advocate at Snowflake, has 20+ years of hands-on software and data engineering background. With his recent experience in Big Data, Data Science, and Machine Learning, Dash is able to apply his technical skills to help build solutions that solve business problems and surface trends that shape markets in new ways.

As a technical evangelist and developer advocate, he is passionate about evaluating new ideas and helping articulate how technology can address a given business problem. He also enjoys writing blog posts, hands-on tutorials, training materials, and conducting technical workshops.

Dash has worked for global enterprises and in agile environments as an engineer and solutions architect for tech startups in the Bay Area in varying verticals, such as VoIP, Online Gaming, Digital Health, NoSQL database, Big Data, and DataOps platforms.

LinkedIn: https://www.linkedin.com/in/dash-desai/

Dash Desai

Lead Developer Advocate

Snowflake

Dash Desai

Lead Developer Advocate

Snowflake

Sheena is an Artificial Intelligence expert with vast international working experience. Her passion and expertise lies in identifying opportunities in businesses that can be powered by AI solutions that deliver real life business benefits.

She is specialised in building vision based AI systems with image and video data using cutting edge research in cross domain industries such as Manufacturing, Oil and gas, Logistics, Telecom, Retail and others, spanning across the USA, India and ASEAN markets.

She was the lead Computer vision data scientist of the PROJECT: CORAIL, a smart underwater camera prototype for coral restoration. Check out the feature in Forbes: https://www.forbes.com/sites/cognitiveworld/2020/04/22/intel–accenture-use-ai-to-save-the-coral-reef/#38543f315e60

In addition to her professional endeavours, she is a guest speaker at the National University Of Singapore Engineering. Her passion for thought leadership extends to authoring technical blogs and presenting at various conferences and industry events. She is deeply committed to the cause of women’s empowerment. As the Singapore ambassador for WiDS (Women in Data Science) she had the privilege to host a highly engaged and successful event during May 2023 for over a hundred women in collaboration with Dataiku, Snowflake and AWS.

LinkedIn: https://www.linkedin.com/in/sheena-nasim/

Sheena Nasim

Senior Architect, Machine Learning, Field CTO Office

Snowflake

Sheena Nasim

Senior Architect, Machine Learning, Field CTO Office

Snowflake

Connect with me on LinkedIn

Vishnu is a Sales Engineer at Snowflake with experience in Data Engineering, Big Data Analytics and Cloud Architecture. He has worked with customers across a wide range of industries including, Financial Services, Retail and Digital Markets. Vishnu brings with himself diverse skillsets across the Data and AI Landscape.

Vishnu uses his implementation experience with other Data platforms and Cloud Services Providers to his advantage in assisting customers achieve their Data and AI goals.

Vishnu Rajmohan

Sales Engineer

Snowflake

Vishnu Rajmohan

Sales Engineer

Snowflake

Connect with me on LinkedIn

Marko is a Principal Sales Engineer at Snowflake who brings years of experience working with customers across multiple disciplines including data integration, data platforms and data science. With industry experience spanning the telecommunications, banking, and retail sectors Marko now assists clients in their journey as data driven businesses.

Marko Slabak

Principal Sales Engineer

Snowflake

Marko Slabak

Principal Sales Engineer

Snowflake

Mahdi has over two decades of dedicated experience in the dynamic landscape of the data industry. He is a seasoned software engineer recognised for his invaluable contributions to companies like Cloudera, Databricks and Snowflake.

Having honed his expertise in developing cutting-edge data solutions, Mahdi has played a pivotal role in architecting and optimising data platforms that drive business success. Mahdi specialises in leveraging advanced technologies to unlock actionable insights, empowering organisations to make data-driven decisions with confidence.

As a thought leader in the data engineering community, Mahdi is passionate about sharing his knowledge and expertise through speaking engagements, mentorship programs, and industry publications. Mahdi remains at the forefront of technological advancements, continuously expanding his skill set to stay ahead of emerging trends and developments.

LinkedIn: https://www.linkedin.com/in/blahblogh/

 

Mahdi Askari

Field CTO - Data & AI

Snowflake

Mahdi Askari

Field CTO - Data & AI

Snowflake

Sean is a Senior Sales Engineer based in Australia with over 10 years of experience in the data industry, with deep technical experience in Data Engineering, Data Science and Data Architectures. As a trusted advisor, Sean has closely worked with a wide variety of start-ups and enterprise customers to ensure the success of their Snowflake AI Data Cloud journey, by drawing from his experience as well as evangelising cutting edge technology and innovations through constant self-learning and application.

LinkedIn: https://www.linkedin.com/in/seankim6/

Sean Kim

Senior Sales Engineer

Snowflake

Sean Kim

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Adrian is a Principal Sales Engineer based in Singapore working with enterprise customers in the financial services sector as well as high tech ‘digital natives’ across ASEAN. Adrian diligently works with customers to ensure that they see success in Snowflake’s Data Cloud from the initial architecture and design all the way to their go-live.

Adrian likes to combine DevOps practices with data and is recognised for the technical materials he produces integrating DevOps tooling and practices with Snowflake. Adrian is also highly passionate about learning and sharing all things data and cloud and has expanded his knowledge to a variety of solution stacks including Redshift, BigQuery, Redis and Kafka.

Adrian Lee

Manager, Solution Engineering

Snowflake

Adrian Lee

Manager, Solution Engineering

Snowflake

Connect with me on LinkedIn

Experienced Data Science professional with strong technical skills. Demonstrated history of driving engagement and projects in Financial Services, eCommerce industry. Detail-oriented specialist with outgoing personality. Motivated by the potential of technology to drive changes to people’s lives.

Day to day work involves stakeholder management, problem definition and framing, solution design, data transformation and preparation, and occasionally some machine learning.
Interested in domain of Data Science, Data Engineering, Architecture and Solutions

Changboon Heng

Senior Sales Engineer

Snowflake

Changboon Heng

Senior Sales Engineer

Snowflake

Connect with me on LinkedIn

Senior engineer and builder at Snowflake – working on supercharging AI & ML with the cloud’s infinite horsepower.

James Choo

Senior Sales Engineer

Snowflake

James Choo

Senior Sales Engineer

Snowflake

 

REGISTER NOW  SHARE INVITE BY EMAIL  SHARE INVITE BY LINKEDIN

CUSTOMER STORIES

Discover how our customers are using Snowflake to unlock the value of their data.

Arrow Image
Snowflake Inc.
  • PLATAFORMA
    • Data Cloud Platform
    • Arquitectura
    • Precios
    • Data Marketplace
  • SOLUCIONES
    • Snowflake para sanidad y ciencias de la salud
    • Snowflake para servicios financieros
    • Snowflake para Marketing Analytics
    • Snowflake para el comercio minorista
    • Snowflake para el sector educativo
  • Recursos
    • Biblioteca de recursos
    • Webinars
    • Documentación
    • Comunidad
    • Asuntos legales
  • Explorar
    • Noticias
    • Blog
    • Tendencias
  • Acerca de
    • Acerca de Snowflake
    • Liderazgo y dirección
    • Partners
    • Empleo
    • Contacto

Sign up for Snowflake Communications

Thanks for signing up!

  • Privacy Notice
  • Site Terms
  • Cookie Settings

© 2024 Snowflake Inc. All Rights Reserved