Enterprise AI Melbourne 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!

•    From POC to Production: Strategies for integrating AI into existing enterprise workflows seamlessly
•    Building the right talent, structure, and collaboration models for enterprise AI success
•    Preparing employees for AI adoption through upskilling, change management, and cultural shifts

• How can organisations innovate with AI while ensuring strict compliance with privacy laws like GDPR, CCPA, and other global regulations?
• How do we maintain or grow customer trust when leveraging AI-driven innovations that rely on personal data?
• Is it possible to implement AI models that require less personal data or anonymised data without sacrificing performance or accuracy?
• Can we remain competitive in AI innovation while upholding privacy standards that may limit or slow down product development?

• How can leaders drive fairness and mitigate bias in AI systems to ensure ethical outcomes?
• What leadership strategies promote transparency in AI decision-making, making it accessible and understandable to non-technical stakeholders?
• How can leadership balance AI-driven innovation with data privacy and compliance with global regulations?
• What governance frameworks and policies should leaders implement to scale ethical AI deployment across the organisation?

Speakers:

Amanda Princi Head of Data & AI Enablement Transurban

Sridhar Deenadayalan Head of Artificial Intelligence and Machine Learning City Holdings

Reeti Upmon Security Engineer Wesfarmers OneDigital

• The Compliance Tightrope – How to navigate evolving data regulations while driving AI innovation
• From Asset to Liability – When AI’s data appetite turns your most valuable resource into a major risk
• Invisible Threats – Uncovering hidden data risks in AI-driven decision-making and automation

Speakers:

Reshma Devi Data & AI Risk, and Information Management Transurban

James Patto Partner – Legal Helios Salinger

• How is AI enabling hyper-personalisation, and what are the most effective ways to tailor experiences to individual customer preferences and behaviours?
• In what ways is intelligent automation—through chatbots, voice assistants, and workflows—transforming the customer experience?
• How can predictive AI models be used to anticipate customer needs and drive proactive engagement that builds loyalty?

Speakers:

Xi Liang Head of Data & AI Products Judo Bank

Dr M Maruf Hossain Vice President of Data Science & AI, Home Loans & Intelligent Automation ANZ

• How can AI improve day-to-day operations and empower employees?
• Taking the right steps to build a community that embraces AI as a tool for growth and innovation
• Creating an environment that promotes learning and AI literacy among staff
• Collaboration Between AI and Human Teams: Identifying ways AI can enhance, rather than replace, human skills and creativity

• How can enterprises ensure AI explainability, trust, and accountability?
• What role does transparency play in building trust in AI models?
• How can organisations make AI outputs more interpretable for stakeholders?
• Why is continuous monitoring essential for detecting bias, drift, and compliance risks?

• Embedding AI into your organisation’s broader strategy to drive measurable business value and long-term competitive advantage
• Identifying and scaling AI initiatives with the highest impact on operational efficiency, customer experience, and innovation
• Securing executive and stakeholder buy-in by demonstrating tangible ROI and aligning AI investments with business priorities

• Identifying and communicating AI's strategic value to ensure it supports long-term goals and creates measurable business outcomes
• Exploring how C-suite leaders can identify and communicate AI's strategic value, ensuring that it supports long-term goals and creates measurable business outcomes
• How can executives foster an AI-first mindset across the organisation by driving AI literacy, empowering teams, and setting up governance frameworks?

Speakers:

Jenny Lin Lead, AI Innovation and Experimentation RACV