Forum Highlights

Why Join This Forum

10 Reasons to join us in February at the Applying Artificial Intelligence and Deep Learning for Enterprises

  1. ALIGN your organization innovation goals to gain competitive edge and sustainable growth with the deployment of AI and DL
  2. REDEFINE your data strategy to establish an effective framework in managing and planning AI integration
  3. TRANSFORM businesses models by leveraging on the deployment of AI and DL
  4. Be INFORMED of the advances in Australia AI from industry’s leading innovators, and their applications of AI in the organization
  5. FACILITATE insightful discussions with innovators, influencers and leaders across all industries to explore potential cross-sector collaboration
  6. INSPIRATIONAL case studies and solutions on how AI can be applied effectively across different industry sectors
  7. CAPITALIZE expert’s knowledge to generate actionable insights to bridge the missing link between data and business value
  8. INTEGRATE innovation and emerging technologies into your existing business models
  9. ACHIEVE stakeholder buy-in to expedite the adoption of AI and DL into organization digital strategies
  10. LEARN and enhance organization internal analytic capabilities in driving internal innovations in AI and DL

Hot Topics to be Discussed

DAY 1: Monday 5 February 2018

  • Intelligent Automation & AI: Analyzing the Game-Changing Potential of AI on Enhancing Operational Efficiency, Productivity & Automation
  • Artificial Intelligence, Data Science, Machine Learning, Deep Learning – Where Are the Boundaries and Where Enterprises Can Apply Them?
  • How to Accelerate the adoption of enterprise-wide AI using Big Data
  • Troubleshooting AI Adoption – Round Tables
  • ROI of Incorporating AI and Machine Learning: How AI Adoption Could Bring Greater ROI, Efficiency and Technological Transformation

DAY 2: Tuesday 6 February 2018

  • How AI and Machine Learning is Transforming Different Industry Verticals – Case Study
  • Why AI Would be Nothing Without Big & Good Data – How Data and Analytics Are Crucial Drivers to Enterprise AI Adoption
  • How to: Change Organizational Mindset and Manage Change Resistance from Enterprises
  • When AI + Machine Learning Goes Wrong: Case Studies of Failed AI Projects, What You Need to Prepare For
  • Towards Super intelligence: Preparing for AI Advancement with Quantum Computing

Post-Conference Deep Learning & Machine Learning Bootcamp: 7 – 8 February 2018

  • Get up to speed on how AI, Machine Learning and Deep Learning will impact global business
  • Gain deep insight in the application of machine learning and deep learning algorithm that will drive new business opportunity
  • Review key enabling technologies including big data and computing processing
  • Explore the fundamentals of deep learning to train neural networks and use results to improve performance and capabilities
  • Look at the landscape of how Artificial Intelligence stands today, why it is gravitating towards Deep Learning and how that fits in to your organization’s future
  • Embed Deep Learning in your organization’s existing technology development life-cycle
  • Understand why unsupervised learning will become far more important in the future

Companies Expected at the Forum

  • ABB Australia
  • AgriDigital
  • AIA Australia
  • Amazon Web Services
  • Australia Post
  • Australian Driverless Vehicle Initiative (ADVI)
  • Australian Energy Market Commission (AEMC)
  • Australian Energy Market Operator (AEMO)
  • Australian Farm Institute
  • Australian Securities Exchange
  • Austroads
  • CSIRO
  • Deakin University
  • Energy Australia
  • Flinders University
  • Garvan Institute of Medical Research
  • HCF Australia
  • Healthdirect Australia
  • IBM Cognitive Australia
  • iMOVE CRC
  • ITS Australia
  • Juwi Renewable Energy
  • Microsoft Australia
  • Ministry of Environment and Energy
  • National Australian Bank
  • National Transport Commission
  • Nokia Australia
  • Office of Innovation and Science Australia
  • Omron Corporation
  • Optus
  • Powerledger
  • Potogen Technologies
  • Qualcomm
  • R3
  • South32
  • Suncorp Group
  • Telstra
  • The BPay Group
  • Transgrid
  • Uber Australia
  • University of Sydney
  • University Technology of Sydney
  • Vodafone
  • Westpac