Data Architecture Melbourne schedule

In this 5-minute networking session, the goal is to connect with three new people. Enjoy the opportunity to expand your network!

Unlock the transformative potential of AI Agents in this presentation designed to provide you with a 12-month roadmap. Discover what AI Agents are and how their advanced architecture can revolutionise data-driven decision-making and operational efficiency. Learn how to prepare your data to unleash the full power of these intelligent systems and explore the wide-reaching impact AI Agents can have across your organisation—empowering you to lead innovation and influence everything.

• 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
• Enhancing decision-making capabilities

As the volume of data pipelines increases, data engineers are finding it challenging to manage cost, performance and quality considerations. The majority of data engineers spend 50% or more of their time to merely maintain existing pipelines and infrastructure, and 95% of IT leaders report integration issues are impeding AI adoption. Such challenges can impede the delivery of high-quality, secure and compliant data, undermining real-time analytics, AI initiatives, data warehouse modernisation and other strategic projects. Join IBM and learn the latest technologies in the data intelligence and integration space available for your organisation today

• 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

Moderator:

Peter O'Donnell Enterprise Data Architect Victoria Legal Aid

Speakers:

Ivan Dennis Head of Business Intelligence & Analytics LMG

Luce Hughes Data Product Owner Australian Super

Salah Rubaie Enterprise Architecture and Platform Manager South East Water

Dave Vinluan Senior Release and Delivery Lead (Cloud, Data and Infrastructure Services) ANZ  

• What are the common data architecture challenges we see today? How can AI assist in overcoming these challenges? 
• What could the practical journey of implementing AI in architecture look like?
• When implementing any solution using data, how can AI be used, for example generating code?
• What trends in AI and architecture should organisations prepare for today?

Moderator:

Ai Hua Kam Head of Controls & Strategy NAB

Speakers:

Peter O'Donnell Enterprise Data Architect Victoria Legal Aid

Usman Zafar Sr. Principal, Enterprise Architecture – Data Invesco

Akansha Aggarwal Data Domain Architect SA Power 

We often admire AI for its sophistication, yet even the most advanced models are only as effective as the data that drives them. Across industries, AI has transformed customer engagement, risk analysis, and healthcare; but it can also fail spectacularly when fed ungoverned or unreliable data. This talk uncovers the ‘true driver’ of AI outcomes, illustrating through real-world use-cases how data governance can spell the difference between unlocking massive value and facing costly setbacks.

Speakers:

Ali Mirzaei Data Science & AI Practice Lead IMS

Peter Houlihan Strategy & Architecture Practice Director IMS