Data Architecture Sydney schedule

In this 10-minute networking session, the goal is to connect with three new people. Let the questions on the screen spark your conversation. Enjoy the opportunity to expand your network!

• Navigating regulatory frameworks across POCs
• Overcoming regulatory barriers and accelerating innovation while ensuring pata protection remains in place
• Future-Proofing POCs: Strategies for adapting to evolving privacy and security laws

• Can AI-driven tools autonomously identify and address data inconsistencies in real-time?
• Strategies for integrating AI models into complex data architectures, ensuring data quality across multiple systems
• Utilising AI to enhance compliance with Australian regulatory standards, ensuring data accuracy and integrity

• Working with fragmented data stored in legacy systems and managing integration challenges
• Designing or upgrading architectures to handle on-prem and cloud environments seamlessly, while ensuring data consistency, security, and governance
• Preparing your organisation for real-time analytics and decision-making capabilities

Explore how you can track and visualise the flow of data through multiple systems, ensuring transparency and compliance, focusing on:

• The challenges of integrating lineage tools in hybrid and multi-cloud environments
• Technical strategies for automating data lineage (using AI or metadata-driven approaches)
• Use cases for regulatory compliance (e.g., GDPR, CCPA) and data audits

Best practices for setting up end-to-end lineage, from data ingestion to consumption layers

• Analysing essential components such as data models, data integration, data storage, and data governance
• Techniques for identifying gaps and areas for improvement
• Outlining steps for implementation, including stakeholder engagement, resource allocation, and technology selection
• Addressing how to manage organisational change and foster a data-driven culture

Speakers:

Pradeep Dadlani Principal Architect Westpac

Chantal Velasque Head of Data & Analytics Uniting

• Why is compliance critical in today's regulatory landscape?
• . Emphasising the risk of legal challenges related to data privacy, security, and governance
• The importance of maintaining data accuracy and ensuring its completeness in the record process
• Traceability and Auditing

• Overcoming common pain points of siloed data architectures, such as duplicated efforts, inconsistent data, and the inability to share insights across teams or departments
• Driving strategies for integrating data across platforms, teams, or departments. Include the role of APIs, microservices, and metadata management
• Highlighting how breaking down silos requires not just technical solutions, but also organisational changes, including collaboration between teams, but are worthwhile endeavours

• Unpack strategies for ensuring that team structures and data architecture are aligned to enhance collaboration and data utility
• Addressing potential challenges and opportunities for adapting data architecture as business needs evolve

Speakers:

Kristopher Lopez Head of Data & Analytics PetSure