About the Conference

The conference, the 2nd in running, very commercial focused, seeks to showcase how Machine Learning and Deep Learning applications can be used to build competitive advantage, enhance productivity, drive new business opportunities, increase revenue. It is expected to attract many AI professionals, investors, robotics, drones, IoT, driveless and data science experts from this region, and beyond, for a high profile gathering of refreshing, new thought leadership, collaborative discussion, new breakthroughs and sharing of successful AI user cases.

While keeping up with the exponential growth of AI, many corporations and government organisations face challenges and roadblocks before and during implementation of their AI programs. At the conference, we will share with you many successful case studies to showcase how adopters of AI have produced steady track record to deliver outstanding results. Learn what you need to do as tech leaders to drive this transformation. Leverage on the insights of other experienced AI professionals on how to push through innovative strategies that will help you to meet future challenges.

Clariden Global has the distinct pleasure of inviting you and your colleagues to be a part of our successful AI series. This conference will also highlight the many advances made in AI, robotics, drones, driverless and other transformational solutions using AI, emerging trends in the industry and new technological solutions to keep up with, to stay relevant in your profession in a challenging and exciting operating environment.

Join this high profile gathering to hear what the leading AI leaders of today have to share about the ongoing transformation of the AI ecosystem. See you in at the Summit soon.

Why Join This Conference

15 Key Themes That Are Powerfully Relevant To Your Business:

  1. AI-First Enterprise: How Machine Learning is Used To Transform the Enterprise
  2. Case Study: How Dolby Uses AI To Re-imagine the Future of its Business
  3. BMW Case Study: Putting AI in Driveless Cars
  4. How Deep Learning is Transforming Different Vertical Industries
  5. JPMorgan: Operationalizing Machine Learning
  6. How to Integrate AI into Your Existing Infrastructure
  7. How Government is Using AI Increase Efficiency, Service Delivery and Citizen Engagement
  8. BUPA ANZ: Achieving Transformative Business Outcomes with Artificial Intelligence
  9. GE Case Study: Using AI to Drive Across Its Entire Business
  10. Building the AI Systems of the Future
  11. Solving Business Problems with Deep Learning
  12. CTO and Chief Data Scientist Panel

The Conference at a Glance

DAY 1: Monday 8 May 2019

  • The AI-First Enterprise: How Advanced Machine Learning will transform the Enterprise
  • What’s next in AI – The Technology and Challenges of Audio AI
  • What Top Companies are Doing with AI + Industry 4.0 today, what are the investment opportunities, what we can learn from them – Success in the Age of AI
  • Case Study: AI in Security/Intelligence & Anti-Terror Services – Using AI to Predict the Probability of Crime in Location by Detecting Anomalies and Faces
  • Case Study:AI + Blockchain in Education
  • Operationalizing Machine Learning: How to Ensure Value-Driven Deployment
  • Many Use Cases across the industries & New applications of AI

DAY 2: Tuesday 9 May 2019

  • Government-Wide AI Strategy: How AI Increase Efficiency, Reduce Operational Costs, Improve Service Delivery and Increase Citizen Engagement
  • Putting AI in Driveless Cars
  • Building AI for Industry: Translating AI R&D into Applications & Commercial Us
  • Building the AI Systems of the Future: Trends in new AI Systems
  • Why many AIs are better than one: Trusted Human-Swarm Teaming, with future applications

Post-Conference Seminars & Site Tour: 10 May 2019

  • How To Build Your Company’s AI Strategy
  • How to Train and Execute a Deep Learning Model to Be Able to Re-identify and Extract Attributes from Humans
  • Visits to corporations, innovation labs and institutions which have successfully rolled out AI & IoT programmes or are test-bedding new AI-IoT technologies

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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
  • Deakin University
  • Energy Australia
  • Flinders University
  • Garvan Institute of Medical Research
  • HCF Australia
  • Healthdirect Australia
  • IBM Cognitive Australia
  • 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