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!

• 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

• 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

Join David Irecki, Boomi's Chief Technology Officer, APJ, as he shares how trusted AI hinges on trusted data. This session explores how Boomi helps organisations establish that foundation with robust data quality & governance, enabling them to unlock the full potential of AI. 

David will provide valuable insights into the current market landscape, emphasising the importance of securing sensitive data, reducing fragmentation across systems, and empowering AI-driven data stewardship to accelerate trusted decision-making and seize new opportunities for growth.

Key Takeaways

• Market Trends: Explore the data challenge, where the opportunity lies for businesses and why it matters for AI.
• Strategic Implementation: Understand how organisations can effectively accelerate their data maturity journey
• Real-World Applications: Learn how Boomi can power your data value chain
• Future Outlook: Gain insights into the evolving landscape of AI and how businesses can prepare for upcoming challenges and opportunities beyond trusted data

• 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

Mehul Majethia Principal Solution Architect Victoria Police

In today's data-driven world, organizations face growing challenges in managing and understanding data across complex ecosystems. This session will delve into the critical role of data lineage and provenance in unlocking the true value of data. Discover how these foundational aspects enhance trust, compliance, and decision-making, particularly in intricate architectures that span legacy systems, modern platforms, and hybrid environments.

• 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

• How could AI address common data architecture challenges?
• How AI is changing code generation and what this means for data solutions development.
• What could the practical journey of implementing AI in architecture look like?
• What trends in AI and architecture should organisations prepare for today?

Speakers:

Kristopher Lopez Head of Data & Analytics PetSure

Alexandra Makagon Enterprise Data Architect Macquarie Group

Collective intelligence (CI) refers to the enhanced decision-making, innovation, and problem-solving ability that emerges when individuals, systems, and technologies collaborate effectively. It integrates human expertise, data, and AI-driven insights to create a more intelligent system than any individual or technology alone.

Achieving a unified perspective through a single view data architecture enables collective intelligence by integrating diverse data sources into a cohesive, real-time, and accessible framework. This architecture breaks down silos, ensuring that customer, asset, and operational data are harmonised to provide a single source of truth. By enabling seamless data sharing and advanced analytics, organisations can leverage AI, automation, and human collaboration to generate deeper insights, improve decision-making, and drive innovation.

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.