The First and only Dedicated AI/RPA event for Australia’s Financial Services Industry

Sydney | 21-22 March 2018

 
RPA has been at the forefront of the Australian Financial Sector for some time now, significantly improving processes, driving revenue and enhancing the customer experience. 
 
However, with Machine Learning sneaking its way into the industry, AI has become the new ‘buzz word’ heating up competition in Australia and urging financial services to become more advanced in the digital world. According to by CEDA, 40 per cent of Australian jobs will be automated by 2025 with an annual worldwide revenue from AI projected to hit $37 billion.
 
But with potential, AI also brings uncertainty with limited local experience, funds, security, and the limitations on regulations within the Australian financial sector. 
 
The AI and RPA for Financial Services Summit will be your chance to network with worldwide financial industry professionals, so you can benchmark and deploy RPA, AI and Machine Learning into your business strategy. 

Speakers

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Why Attend

  • The programme offers 90% case studies from international and Australian financial institutions such as ANZ, IAG, Westpac, AON, Zurich Insurance Company Ltd, CUA, Hashching and more… 
  • Engage with leading financial professionals in discussions that share experiences on deploying automation, RPA, Machine Learning, Chatbots and AI into their business 
  • Find out how to turn proof of concept into tangible benefits
  • Take home strategies on how you can enhance your customer experience through AI and ML
  • Discover new strategies and programmes to manage change and staff resilience for your organisation
  • Gain new ideas and techniques on how to manage data and analytics 
  • Understand how your business and IT can work together to build a foundation for automation 

Who Should Attend

Heads/Manager/GM/Director
  • CIOs, CTOs, CDOs
  • Transformation
  • Technology/IT 
  • Customer Service
  • Digital 
  • Robotic Process Automation 
  • Innovation 
  • Business Improvement 
  • Data/Data Analytics
From What Industry? 
  • Banking
  • Finance
  • Insurance
  • Building Society’s
  • Investment 
  • Superannuation 
 
 
 

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