Top 3 reasons to attend
- Discover the latest advances in GenAI, machine learning, analytics and data governance from David Meyer, SVP Product at Databricks.
- Learn how to drive insights with natural language, integrate data management with AI and governance, and support GenAI applications with quality, privacy and control.
- See how leading companies are reducing TCO through automatic performance and storage optimization.
Agenda overview
| Registration | 6:30 AM - 6:15 PM |
| Expo | 8:15 AM - 9:00 AM 10:30 AM - 6:15 PM |
| Keynote | 9:00 AM - 10:30 AM |
| Breakout Sessions | 11:30 AM - 5:10 PM |
| Lunch | 1:15 PM - 2:15 PM |
| Reception | 5:15 PM - 6:15 PM |
Speakers
Head of Bioinformatics Core Facility, Cancer Research Division
Peter MacCallam Cancer Centre
Head of Data & Analytics
John Holland Group
VP & Country Manager
Databricks
SVP, Products
Databricks
Data Science and Insights Manager
Seven Network
Solutions Architect
Databricks
Machine Learning Scientist
Peter MacCallum Cancer Research
Sr. Solutions Architect
Databricks
Specialist Solution Architect
Databricks
Sr. Solutions Architect • Enterprise Field Engineering
Databricks
Head of Risk
Lumi Finance
Sr. Staff Technical Instructor
Databricks
Sr. Specialist Solutions Architect
Databricks
Sr. Delivery Solutions Architect • Field Eng
Databricks
Specialist Solutions Architect
Databricks
Sr. Solutions Architect
Databricks
AI Practice Executive
Suncorp Group
Solutions Architect
Databricks
Chief Data Officer
Great Southern Bank
Senior Product Manager
HiPages Pty Ltd
Co-Founder & Director
NEOXA
Sr. Solutions Architect
Databricks
Solutions Architect • Enterprise Field Engineering
Databricks
Chapter Leader, Data Science & AI
ASB Bank
Sr. Solutions Architect
Databricks
Solutions Architect
Databricks
Executive Director Data and Analytics
Department of Transport VIC
Sr. Solutions Engineer
Databricks
Sr. Specialist Solutions Architect
Databricks
Featured sessions
Featured sessions
Data + AI World Tour Keynote
Complexity has long been the barrier to success with data and AI. But, the unification of lakehouse architecture with generative AI has rapidly opened up new opportunities to simplification. By bringing AI to your data, you can analyze huge quantities of information from many different sources to generate outputs that drive efficiency, spur creative thinking and enhance productivity.
Hear from Databricks leaders about the latest innovations in AI, data warehousing, and analytics on the Databricks Data Intelligence Platform. Additionally, data leaders will explore the interconnections between data and AI and how to save good models from bad data.
Super Session: Databricks Demo Jam
Buckle up for this Databricks Demo Jam! Join this session to see live demos from local experts, including:
- The latest Databricks AI/BI tools that enable business users to interact with data and gain insights using natural language
- The latest advancements in Generative AI, showcasing how to easily build compound models and generate more complex outputs, including images
- How developer productivity can be boosted by leveraging Databricks Assistant to quickly build and debug applications
- Why Unity Catalog is a game-changer for organisations: See live demo's on how centralised data and access controls, end-to-end lineage, and query federation will accelerate your data journey
Sponsored by: Mantel Group | Transforming Transport: Austroads' Telematics Data Journey
Austroads recently commenced a migration of legacy telematics data workloads to Databricks, transforming data infrastructure. We explore how the move to Databricks has enabled overcoming challenges of handling vast & varied data across transport networks. Leveraging Databricks' scalability & modern data platform we have significantly improved data processing & enabled real-time insights into vehicle movements, traffic patterns, & opened the potential for advanced analytics, & machine learning capabilities. The migration has also fostered better collaboration across teams, reduced costs, & positioned us to adapt to future transport technologies. This session will provide valuable insights into the benefits of modernising data platforms, offering actionable takeaways for data professionals & transport industry stakeholders alike. Discover how Austroads is driving the future of Australian transport with Databricks, transforming data into a powerful tool for progress.
Get Started with Generative AI
This training is suited for Data Scientists & Machine Learning Engineers
Duration: 2 hours
Hands-on labs: No
Learn how to navigate the Databricks platform to build and develop Generative AI applications in this follow along course. You will learn how to develop prompts, and compound AI systems using MLflow and Mosaic AI on the platform. As well as learn concepts around governance and differences with GenAI.
Learning objectives
By the end of the course, you will learn:
- Generative AI opportunities and challenges
- How to set up a dev environment and get started with prompt engineering on Databricks with MLFlow
- How to build a compound AI system with retrieval augmented generation (RAG)
- Introduction to fine-tuning models and pretraining LLMs with Mosaic AI
- How to approaching governance for AI applications
Prerequisites
- Intermediate-level experience with Python
- Working knowledge of machine learning and deep learning is helpful
When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event.
Migration Best Practices to Modernising your Enterprise Data Warehouse
With the massive influx in Generative AI applications, organisations are going through a critical phase of data infrastructure modernisation, laying the foundation for the future, and adapting to support growing data and AI needs. Many organisations that embraced cloud data warehouses (CDW) have ended up trying to use a data warehousing tool for ETL pipelines and data science purposes. These organisations likely have observed poor performance and limited capabilities due to the SQL-first implementation of these CDWs and limit their future analytical solutions.
Realising the limitation and pain with cloud data warehouses, organisations are turning to a Data Intelligence Platform architecture. Though a cloud platform to cloud platform migration should be relatively easy, the breadth of the Databricks platform provides flexibility, and hence requires careful planning and execution. This session offers guidance on the migration methodology, technical approaches, automation tools, product/feature mapping, and best practices for migrating data, ELT pipelines and warehouses from CDW to Databricks.
Sponsored by: Salesforce | Unlock the Power of your Lakehouse Analysis with Tableau & Databricks
Discover how Tableau, in partnership with Databricks, helps you see and understand all the data in the Data Intelligence Platform. Through real-world use cases and expert insights, you’ll learn how our integrations empower secure data sharing for visualisation and accelerate time-to-insight with AI. Join us to see how Tableau instills confidence in your data and offers a flexible, composable analytics platform.
LakeFlow Connectors: Introducing Databricks’ Native Ingestion Connectors
A major challenge data practitioners face is maintaining data ingestion pipelines—from on-prem database connectivity, to evolving SaaS APIs, to holistic governance.
This is why we built Databricks I/O: a set of native ingestion connectors for popular SaaS applications, databases, and file sources. These connectors are auto-optimized, low-maintenance, and integrated with the rest of the Data Intelligence Platform—from governance via Unity Catalog to orchestration via Workflows (and more). And you can do it all via a no-code UI or an API.
In this demo-packed session, you’ll learn about what’s launching, what’s on the roadmap, how to take full advantage of this product, and how customers such as APA are leveraging DLT today.
Sponsored by: AWS | Augmenting GenAI Models with Complex Unstructured Data
Get ready to augment GenAI models with complex unstructured documents by leveraging the combined power of AWS and Databricks. This session delves into using AWS services like Amazon S3, Amazon Textract, Amazon Comprehend, and Amazon Bedrock for secure data ingestion, extraction, and advanced AI processing, while highlighting how Databricks seamlessly integrates with AWS tools such as Auto Loader for continuous data ingestion and deploying large language models (LLMs). Key insights include integrating AWS and Databricks for AI applications, leveraging intelligent document processing, and applying real-time and batch processing patterns.
LLMs in Production: Fine-Tuning, Scaling, and Evaluation
This session will dive into the practicalities of deploying LLMs in business settings. We'll explore when to leverage LLMs and address how to minimise the complexity of the problem. Our discussion will guide you through designing an evaluation methodology and detail the circumstances necessitating fine-tuning for optimal performance. We will elaborate on the nuances of training data selection, establishing a flexible training ecosystem, hyperparameter optimisation, scalable training, and finetuning workflows. As part of the practical session, we will go through the ETL process, how to format and structure data for finetuning, and how to organize, save, and manage these datasets. We will demonstrate a few finetuning configurations, show you how to monitor and evaluate your finetuned LLMs, and collect further datasets to improve your finetuned LLM over time.
Get Started with Data Engineering with Databricks
This training is suited for Data Engineers
Duration: 3.5 hours
Hands-on labs: Yes
Learn how to navigate the Databricks Data Engineering & Data Science Workspace user interface, develop and run code using Databricks Notebooks, version notebooks with Databricks Repos, and use Delta Lake to perform data management tasks.
Learning objectives
By the end of this course, you will:
- Describe fundamental concepts about Databricks
- Explain fundamental concepts about the Data Engineering & Data Science Workspace
- Explain fundamental concepts about Delta Lake
- Navigate the Workspace user interface
Use the Workspace to:
- Create and manage clusters using the Databricks Clusters UI
- Develop and run code in multi-cell Databricks notebooks using basic operations
- Integrate git support using Databricks Repos
- Perform data management tasks using Delta Lake
Prerequisites
- Beginner-level knowledge of the Databricks Data Intelligence Platform.
- Beginner familiarity with cloud computing concepts (virtual machines, object storage, etc.)
- Intermediate experience with basic SQL concepts (select, filter, groupby, join, etc)
When registering for Databricks World Tour, please select you are interested in attending training. You must reserve your seat in order to attend training. Reservations for training will open closer to the event.
Sponsored by: Microsoft | What’s New with Azure Databricks
Discover the latest developments & integrations on Azure Databricks to maximize the value of your data assets for all analytics and AI use cases. Learn how these innovations can supercharge your data analytics, enhance collaboration, and streamline your workflows.
Session Highlights:
- Explore the newest updates to Azure Databricks
- Learn how to leverage these features for your data analytics needs
- Gain insights into future developments and roadmap
Getting Started with Databricks SQL: Live Demos and New Features
Join us for live demos on Databricks SQL and discover how our streamlined interfaces simplify data warehousing for analysts, developers, admins, and business users. Learn how to create a data warehouse, ingest and transform data, and build queries and dashboards effortlessly. This session will showcase the latest features, including new AI assistants for coding and dashboards, performance optimizations with serverless infrastructure, and enhanced observability with system tables. Additionally, we'll explore AI-powered capabilities that address performance, governance, and usability challenges in data warehousing, such as natural language queries and visualizations, and serverless, elastic infrastructure for better total cost of ownership.
Comprehensive Guide to Mosaic AI: Getting GenAI Apps to Production on Databricks
Step into the world of rapid Generative AI application development with Mosaic AI. We'll explore the suite of tools within Mosaic AI that revolutionize how we create and maintain high-quality AI applications, cutting down the path to production.
Gain insights into:
- Efficient Application Design: Learn how to leverage Mosaic AI for designing production-quality GenAI applications
- Seamless Maintenance Strategies: Discover strategies for the ongoing maintenance of your AI applications, ensuring they continue to meet evolving needs.
- Practical Integration Techniques: Witness a comprehensive end-to-end demonstration that showcases the practical application of these tools and strategies in real-world scenarios.
- This session is your gateway to mastering the intricacies of GenAI application development, offering actionable knowledge to streamline your projects with Mosaic AI and Databricks.
Delta Lake UniForm: Unify Table Formats Across Iceberg, Hudi, and Delta Lake
The Delta Lake Universal Format, or UniForm for short, expands Delta Lake's existing ecosystem by allowing one single set of data to be used across all the tools in your lakehouse architecture. With UniForm, you only need to save your data once, and then it can be accessed by any software that works with the main open table formats like Linux Foundation's Delta Lake, Apache Iceberg, and soon, Apache Hudi. It does this by creating Iceberg or Hudi metadata alongside Delta Lake, maintaining a single copy of the underlying Parquet data files.
In this session, we'll explain what UniForm can do now and what it will be able to do, and we'll go over the best ways to add Delta Lake UniForm to your lakehouse architecture.
Sponsored by: Twilio Segment | From Puzzle Piece to Masterpiece - Unlocking Your Customer Data
Building robust and scalable customer data architecture can feel like putting together the pieces of the jigsaw. Learn from Twilio Segment why the Customer Data Platform (CDP) is the one piece that you cannot lose as it brings together your customer profiles and unlocks data to drive business critical use cases. See how customer engagement from awareness to advocacy is transformed when you are able to truly personalise the customer experience from end-to-end.
Exploring MLOps and LLMOps: Architectures and Best Practices
This session offers a detailed look at the architectures involved in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps), which will be joined by Lumi Finance. It's designed for those interested in the technical specifics and practical applications of MLOps and LLMOps, including the key components and workflows that define these fields.
Attendees will learn about:
- The core architectures used in MLOps and LLMOps.
- The various elements involved in these operations, such as data management, model training, deployment, and monitoring.
- Strategies for implementing effective MLOps and LLMOps in your projects, with a focus on improving efficiency and model performance.
A Practical Introduction to Machine Learning with Databricks Mosaic AI
This session introduces Databricks' latest advancements in real-time inference, showcasing how its cutting-edge feature and function serving capabilities are revolutionising the way AI models and data can be leveraged for instantaneous decision-making.
Attendees will dive deep into the mechanics of Databricks' real-time inference ecosystem. You'll discover practical strategies for deploying your AI models as robust, externally facing APIs, enabling seamless integration with a wide array of applications and services.
Key takeaways include:
- An in-depth understanding of Databricks' new real-time inference features and how they simplify the deployment of AI models.
- Step-by-step guidance on setting up and managing feature and function serving to enable real-time data processing and insights.
- Insights into how real-time inference can transform your organisation's approach to data analysis, decision-making, and customer engagement.
The Road to Data Democratisation in the Public Sector and What’s New with Data Sharing
Databricks is the platform for secure and open collaboration. Organisations need sharing solutions that support more than just data. We recently released AI model sharing to accelerate innovation, volume sharing of images, audio, video, and more to unlock data + AI use cases, and solution accelerators purpose-built for industry use cases.
The Databricks Data Intelligence Platform provides an open approach for sharing with maximal reach and impact. Your organisation can now seamlessly share datasets, AI models, volumes, and solutions in a unified way, with an open ecosystem for massive reach offering privacy-safe collaboration. In this session Victoria's Department of Transport and Planning will share their journey towards data democratisation and we’ll cover the latest across our collaboration products:
- Delta Sharing – the open protocol for cross-platform data sharing
- Databricks Marketplace – the open marketplace for data and AI solutions
- Databricks Clean Rooms – the privacy-safe collaboration environment for data and AI.
Databricks SQL: Addressing Data Warehousing’s Biggest Challenges with Data Intelligence
This session provides an overview of end-to-end data warehousing with Databricks SQL, from ingestion and ETL to queries and dashboards. Databricks SQL has also tapped the power of AI to address the data warehouse’s biggest historical challenges — performance, governance and usability — thanks to a deeper understanding of your specific data and how it’s used. We will share the latest of these AI-powered capabilities such as using natural language to ask questions or create visualisations, and the AI-optimized performance with serverless, elastic infrastructure for better TCO.
Discover Unity Catalog: Your Guide to Governance for Data and AI with Live Demos and New Features!
Join this session for an in-depth exploration of the latest in data and AI governance, which will be presented alongside Seven West Media.
Unity Catalog is the only solution that offers unified, open governance for both data and AI, native to the Databricks Data Intelligence Platform. In this session, we will cover the open source future of Unity Catalog and the newest features, such as enhanced governance with detailed row/column filtering, Governed Tags, Attribute-Based Access Controls (ABAC), and the latest updates in automated data lineage, governance for ML assets, and performance improvements.
Sponsored by: NCS | UniSuper: leveraging Databricks for Timely Insights and Better Decisions
To address rising customer demands for personalised digital experience, increasing industry competition, and the need for scalable self-service insights, UniSuper partnered with NCS Australia to deliver a transformative solution. Discover how this partnership has built a modern data platform using Databricks to unlock insights securely and govern data effectively. By automating secure self-serve analytic workspaces, and establishing a tailored governance model, UniSuper is realising early business value, and has laid a foundation for future innovation.
Sponsors
Sponsors
Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company serving clients in more than 120 countries. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song.
Amazon Web Services (AWS)
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers - including the fastest-growing startups, largest enterprises, and leading government agencies - trust AWS to power their infrastructure, become more agile, and lower costs.
Mantel Group
Mantel Group is an award-winning technology consultancy of 850+ experts. Formed in 2017 and headquartered in Melbourne, Australia, Mantel Group has been named among the best tech workplaces in Australia by Great Place to Work for 5 years in a row. Mantel Group harnesses technologies that transform business operations in the real world. With capabilities spanning Cloud, Data, Digital and Security, we integrate emerging technologies with innovative design and industry expertise to enhance your business. Our deep technical specialisation as a Databricks partner is built on helping data teams focus on putting all their data work to discover new insights. Mantel Group is your partner for end-to-end digital transformation. Visit www.mantelgroup.com.au for more information.
Microsoft
Microsoft's mission is to empower every person and every organization on the planet to achieve more. With its Intelligent Data Platform, Microsoft supports organizations combine advanced AI, analytics, database and security services to form a powerful solution capable of data-driven innovation and transformation in the era of AI.
NCS
NCS Australia is a leading technology services firm, providing services and solutions in consulting, digital, applications and more. We believe in the power of technology to make extraordinary things happen and to create lasting impact and value for our people, communities and partners. We bring together people and expertise to harness the best of technology. Our diverse workforce of around 1,500 people has delivered a wealth of large-scale, mission-critical, and multi-platform projects for governments and businesses across Australia. We are part of the NCS Group which operates across the APAC region, has a 12,000-strong workforce and is the #1 market leader in IT services in Singapore and Southeast Asia. We believe in the power of technology to make extraordinary happen and to create lasting impact and value for our people, communities and partners.
Salesforce
Salesforce is the #1 AI CRM, helping companies connect with customers in a whole new way. Combining best-in-class CRM apps across sales, service, marketing and commerce with trusted AI and data on one integrated platform, companies can create deeper customer relationships, increase productivity, and grow their bottom line. With product integrations around Tableau and Salesforce Data Cloud, our partnership with Databricks delivers the best-of-breed solution for customers to unify, analyze and act on their data while building a single source of the truth.
Twilio Segment
Today's leading companies trust Twilio's Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of the customer journey, from sales to marketing to growth, customer service and many more engagement use cases in a flexible, programmatic way. Across 180 countries, millions of developers and hundreds of thousands of businesses use Twilio to create magical experiences for their customers. For more information about Twilio (NYSE: TWLO), visit: www.twilio.com.
Event details and FAQ
| How much does it cost to attend the Data + AI World Tour? | All Data + AI World Tour stops are free to attend. |
| I am having difficulties registering. How can I get help? | Please email world-tour-support@databricks.com. |
| How do I register for training? | When registering, please select you are interested in attending training. Registration for training will open closer to the event. You must reserve your seat in order to attend training. |
| Will you be providing meals with dietary restrictions in mind? | We will provide meals that are vegetarian and vegan. If you have other dietary restrictions, please email world-tour-support@databricks.com and we will do our best to accommodate. |
| Where is the event located? | The event is held at the Hilton Sydney. 488 George St, Sydney NSW 2000 |
