Agenda

Data Mesh is arguably one of the most talked about IT architecture and transformation concepts in the industry in recent years. Companies in all verticals are choosing Data Mesh for decentralised data management to improve data agility and avoid the organisational bottlenecks often connected with centralised and monolithic approaches.

This session describes how the Snowflake cloud data platform is uniquely suited for Data Mesh implementations.
We’ll discuss common Data Mesh requirements and how they can be effectively addressed with Snowflake capabilities for data engineering, data lakes, data warehouses, data governance, data sharing, and Snowgrid.
This session includes Data Mesh architecture blueprints and best practices to enable you to build the best Data Mesh for your needs.

Marko Slabak
Senior Sales Engineer
Snowflake

Join HCF as they present AI in Healthcare and Insurance. During this presentation, HCF presenter Amiet Dhagat, Head of Data Services & AI, will walk through the Snowflake data journey, challenges and business value realised

Amiet Dhagat
Head of Data Services & AI
HCF

Feature development is hard, scaling a good approach across teams is harder. Take a look under the hood of a feature store implementation built on Snowflake using dbt and Feast.

What are the opportunities? Where are the dragons? What’s next? Spend some time with Adam Schmidt, Principal Engineer at Zip, to find out how to make your data science tools easier to work with and more reliable.

Adam Schmidt
Principal Engineer
Zip Co

User behaviour analytics (UBA), also known as user and entity behaviour analytics (UEBA), is catching increasing attention in the IT & security community as a proven behaviour based insider risk detection solution. However, without the power of cloud and its big data handling capabilities, it is difficult to take note of normal conducts of users in scale while being able to catch anomalous behaviours in real time.

Snowflake is a cloud-native, effective, robust and economical solution. With Snowflake you can:
– catch anomalies with different level anomalous scores yielded by Python inferencing UDF with multiple models which are trained on schedules to choose from;
– carry out efficient feature engineering to capture user signatures;
– detect time series phase changes via change point detection as a complementary tool to classical anomaly detection. Such a solution injects data from all possible sources: device usages, emails, logon/offs, and other internal footprints.
With our platform it is easy to scale in accordance with the growth of the organisation so that there is sustaining intelligence to support IT & security teams for finding early signs of internal risk.

Alex Lei
Senior Sales Engineer
Snowflake

In this exclusive invite only session, we will explore new strategies and perspectives around the ‘data economy’ that will impact how you utilise and view data in your organisation.

Hear from one of the most globally recognised brands how they operate a huge franchise network and navigate ever changing supply chain conditions.

Data is the key and Michael Vera reveals how he and the team use Snowflake Data Sharing to empower suppliers, vendors while securing governance across organisations.

Michael Vera
Data Analyst
KFC

Many of the largest Snowflake deployments depend on Qlik Data Integration to ingest data at
scale and create low-latency information flows.  In this session you will learn how leaders like
ABB flows data from 32 SAP instances across 4 continents into Snowflake in real-time; and how
Ewals Cargo Care uses data warehouse automation to increase their Snowflake development productivity
by 400%.  You’ll also learn about the latest innovations with Qlik Cloud to deliver a wide range
of data integration capabilities as a service. Qlik is an Elite Snowflake Partner and has been
recognised as Partner of the Year in Data Engineering.

Armstrong Mejilla
Director of Solution Architects
Qlik

Python libraries such as Pandas and Scikit-Learn come with pre-processing functions that accelerate the development of ML features. Yet, these functions are not designed for scalable and parallel processing in production.

Join this session to see how easy it can be to leverage Snowpark functions as building blocks to recreate popular pre-processing functions in Pandas & Scikit-learn for scalable ML pipelines.

Rishu Saxena
Field CTO | Data Platform Architect
Snowflake

Since its launch in September 2021, Snowflake’s Data Cloud for Financial Services has enabled data, technology, and organisational transformation across some of the largest financial services institutions in the world. In this session, you’ll hear about the Financial Services Data Cloud’s latest capabilities, as well as new partner solutions that are Powered by Snowflake. Snowflake’s industry experts will be joined by executives from across the buy-side and sell-side to discuss how and why they are building with Snowflake. Hear customer stories about new use cases like Next Best Action, Fraud Detection, and ESG.

Andy Cannon
Account Executive
Snowflake

Snowflake just dropped its biggest announcement yet. Unistore, a new workload delivering a modern approach to working with transactional and analytical data together in a single platform. This means no more moving data, no more managing redundant datasets, and no more delays getting data available to teams.

Join this session to:

– Learn about Unistore, who it’s for and how it works
get a demo of Hybrid Tables, the capability that powers Unistore
– Hear about how Snowflake customers are using Unistore to solve their toughest data problems

Alex Gutow
Director, Product Marketing
Snowflake

The Retail and CPG industry has seen a decade of transformation play out in the last three years. Retailers, CPG companies, and distributors have used Snowflake to develop new products, improve marketing ROI, and tighten collaboration across inventory management and supply chain partners.

Join this session to:

– Hear about the platform capabilities, native datasets, and partner solutions that have powered customers’ success.
– Learn about the newest use cases supported by the Data Cloud, like Inventory Management and Fulfilment, Personalisation, and Data-driven Merchandising.
– Learn from Retail and CPG customers, who will be interviewed by Snowflake industry experts about how their organisations are embracing the Data Cloud.

Regina Ugarte
Account Executive
Snowflake

The session will cover how you can use Amazon SageMaker and Snowflake together to harness machine learning. Specifically, through a Data Centric AI (DCAI) approach to Machine Learning. The session level-sets on the basics of DCAI and Amazon SageMaker. And runs a walkthrough of the machine learning process from model development to model operationalisation using Snowflake and Amazon SageMaker. In the process, you’ll learn the integrations that have been built to empower various data expert personas to participate in machine learning development through a DCAI approach.

Varun Mehta
Industry Solutions Head (APJ) – Data Analytics
AWS

At the heart of many Aussie small and mid-sized businesses stands a company that is helping them start, survive and succeed. That company is MYOB. Today, MYOB services over 1.3 million customers with accounting, payroll and business management software. In this fireside chat, Oliver Dwyer, Head Of Analytics & Data Strategy, discusses MYOB’s journey and shares his experiences in helping enable data analysts to develop and scale AI and ML within MYOB.

Oliver Dwyer
Head of Analytics and Data Strategy
MYOB

Grant Case
RVP, Head of Sales Engineering – APJ
Dataiku

Maintaining high standards of compliance and governance can be challenging – especially for your most sensitive data. But allowing all users across your business to access and tap into new value from that data can be game-changing for an organisation.

In this session, you’ll:

– Learn best practices for protecting your data and implementing governance at a global scale.
– Get an overview on the flexible controls available –including dynamic data masking, row-access policies, conditional masking.
– Get examples of when to use them depending on the data, user, and use case – as well as an overview for object tagging, data lineage, and impact analysis capabilities to track the flow of sensitive data.

Leon Czechowicz
Senior Sales Engineer
Snowflake

You can’t use yesterday’s technology to solve today’s data problems – and definitely not tomorrow’s. In this session, we will describe the challenges of traditional file-based data lakes, the opportunity of the Data Cloud and how Snowflake’s platform is uniquely capable of supporting a data mesh without creating problems of data silos.

Tim Buchhorn
Senior Sales Engineer
Snowflake

If you are a marketing, business or data strategy leader, take a front row seat as Tane Oakes (CTO, TEG) and Chris Johnston (GM Digital/Marketing, TEG) provide insights into their journey of how data has underpinned improved customer engagement. TEG set the goal to provide an integrated experience from the moment of purchase all the way through to attending, navigating and maximising an event experience – and the outcomes have been phenomenal. Don’t miss this opportunity to join in a live interactive discussion and a chance to have your questions answered from two industry leaders.

Tane Oakes
Chief Technology Officer
TEG

Chris Johnston
General Manager
TEG Digital (TEG Ovation)

As you move critical workloads to the cloud, you need to know which is the valued data to migrate. Once you’ve arrived, how do you connect the right people to the most treasured data? Jacalene Gwilliam describes firsthand their journey to the Data Cloud and how you can use the Alation data intelligence platform to find your data, understand it and make it available to everyone.

Jacalene Gwilliam Head of Service Delivery (Corporate Platforms and Data Services) Aware Super

Security and Velocity, can these seemingly conflicting goals be achieved with critical data?

CommBank iQ is a venture with Australia’s richest data set, being set singularly on the Snowflake data platform it achieves both these goals. In this session the CommBank iQ team share how Snowflake is central to being safe sound at velocity, how to avoid the pitfalls as well as learnings shared with the community to efficiently manage your environment.

Ole Turvoll Head of Engineering CommBank iQ

Lawrence Tse Associate Director, Foundational Data Engineer CommBank iQ

Learn how companies and organisations can get started with scaling their analytics in the cloud. Join Mark Tossell, as he highlights 4 steps to realising the ultimate potential of digital transformation, the latest Tableau & CRM Analytics Connectors & integrations for Snowflake, and shares customer successes.

Mark Tossell
Lead Solution Engineer
Tableau

• Ingest, extract, and load data from a wide collection of on-premises and cloud sources with Informatica
• Standardise, cleanse, join, filter, and augment data easily using Informatica’s graphical UI
• Execute high-performance transformation reliably using Snowflake
• Learn how Informatica can be used for advanced use cases such as Data Quality on Snowflake

Daniel Hein
Ecosystem Partner Leader, APJ
Informatica