Conference Day 1 - 5 December 2017

8:00 AM - 9:00 AM Morning Refreshment and Registration


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Dr Shonali Krishnaswamy

Professor, Data Science
Swinburne University of Technology

9:10 AM - 9:40 AM Opening Keynote | How to: Successfully leverage RPA & AI as strategic tools to scale up your business

This session will provide you with an A-Z approach for you to understand RPA & AI, what they are and what they are not, and exactly how RPA & AI can help you drive business growth and business scalability.
  • Analysing key trends, emerging technologies and the current outlook of RPA & AI
  • Understanding the link between RPA & AI – RPA before AI or RPA with AI?
  • Accelerating your strategies to maximise the benefits of RPA & AI

This plenary session is held together with the 2nd annual Robotic Process Automation Asia Summit.

  • Evaluating existing processes to determine where RPA & AI fits in your organisational blueprint
  • Going beyond just ROI and showcasing how it is crucial for business competitive advantage sustainability
  • Building in-house capabilities vs. Engaging external vendors – Choosing the service delivery model that best fits your organisational needs and processes
  • Future-proofing your business – Leveraging on RPA & AI to build market leadership

This plenary session is held together with the 2nd annual Robotic Process Automation Asia Summit.

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Céline Heissat Le Cotonnec

Chief Data & Innovation Officer
AXA Singapore
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Lawrence Wee

Chief Data Scientist
Allianz
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Ramesh Narayanaswamy

Group Chief Information & Operations Officer
CIMB
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Ritesh Sarda

Chief Information Officer
Sunlife Financial Hong Kong
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Dr Shonali Krishnaswamy

Professor, Data Science
Swinburne University of Technology

10:30 AM - 10:50 AM Speed Networking Session

10:50 AM - 11:20 AM Morning Break

11:20 AM - 11:50 AM How To: Examine the key challenges of implementing AI on an enterprise scale

Dr Shonali Krishnaswamy, Professor, Data Science, Swinburne University of Technology
AI and Machine Learning are both transforming organisations across sectors. As the practice of data science matures and real-world implementations of machine learning are gradually increasing, there are key challenges that need to be addressed in enabling the discipline and technology to scale. The talk will present the critical successful factors for machine learning adoption and discuss the very real challenges of “solutionising” machine learning and moving from point solutions that are the norm today, to re-usable solutions in the future.

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Dr Shonali Krishnaswamy

Professor, Data Science
Swinburne University of Technology

11:50 AM - 12:30 PM Technology 101 | How to: Understand the ABCs of AI before you embark on your AI journey

Wilson Ang, Director, Intelligent Computing Lab, Info-communications Media Development Authority of Singapore (IMDA)
  • Breaking down the principles and science of AI to get a clear overview of what AI is and what it is not
  • Demonstrating practical use-cases of AI to understand its industry-wide applications
  • Drawing the roadmap of AI and exploring future opportunities for industries
  • Moving beyond 5 years – What will the technology landscape look like?

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Wilson Ang

Director, Intelligent Computing Lab
Info-communications Media Development Authority of Singapore (IMDA)

12:30 PM - 1:30 PM Networking Lunch

1:30 PM - 2:10 PM How to: Build your AI business case and demonstrate ROI for your AI projects

Dr Stephen Chan, Head, Department of Knowledge and Innovation, Woodlands Health Campus
  • Defining the use-case of your AI project accurately to set the stage for success
  • Examining cost-savings initiatives and growth opportunities with AI
  • Obtaining stakeholders’ buy-in for your AI project
  • Overcoming common AI project pitfalls

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Dr Stephen Chan

Head, Department of Knowledge and Innovation
Woodlands Health Campus

2:10 PM - 3:00 PM Fireside Chat | How to: Bridge the gap between data and insights with business transformation and outcomes

Ratikant Sahu, Executive Director, Group Technology & Operations, UOB Sanjay Gurbuxani, Regional Chief Information Officer, APAC, Middle East and Africa, Mondelez International
  • Understanding what’s next after data mining and data collection – What do you do with the data?
  • Turning data and insights into actionable outcomes for business value
  • Integrating AI with other forms of technology for actionable outcomes

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Ratikant Sahu

Executive Director, Group Technology & Operations
UOB
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Sanjay Gurbuxani

Regional Chief Information Officer, APAC, Middle East and Africa
Mondelez International

3:00 PM - 3:30 PM Afternoon Break

AI has significant impact on businesses and can be adopted in various industries. From planning to execution, there is no easy way to guide the AI implementation process. There is no “one size fits all” because every AI project differs, but there is much to learn from real-world use-cases so that you know what to expect when you embark on your own AI journey. This Industry Spotlight will bring together 3 end-users from different industries to share with you their AI journey – how it all began, and where they are at now. 

The Industry Spotlight

3:30 PM - 3:50 PM How to: Improve productivity and customer satisfaction by implementing AI-powered chatbots

Adam Grabarczyk, SVP, Head Process and Business Management, DBS Digital Bank, DBS
DBS has already launched chatbot in three countries (Singapore, India and Indonesia), where the chatbot is available for customers on 3 platforms, Mobile Application, Pweb and FB Messenger. The presentation outlines the key experiences and explains the AI training process towards better accuracy and performance of the bot.
  • Examining the chatbot ecosystem and functions implemented across all digital banking channels
  • Understanding the supervised machine learning and AI training process flow
  • Analysing the benefits of chatbot implementation, its usage and adoption
  • Envisioning the future of bots in banking

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Adam Grabarczyk

SVP, Head Process and Business Management, DBS Digital Bank
DBS

3:50 PM - 4:10 PM How to: Boost patient outcomes and aim for 100% transitional care success through AI capabilities

Dr Ravinder Singh Sachdev, Deputy Chief Medical Information Officer, Tan Tock Seng Hospital
From confidential patient information to difficulties in accessing medical records, implementing AI in the healthcare industry is a tricky one. In this presentation, we will be brought along Tan Tock Seng Hospital’s journey in implementing AI within their Transitional Care Unit.
  • Providing better care and support by using AI and predictive analytics to forecast the probability of patients being at risk of re-admission upon the first few weeks of discharge
  • Enhancing hospital operations and efficiency with AI
  • Imagining the future of healthcare – Transforming transitional care with technology and innovation

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Dr Ravinder Singh Sachdev

Deputy Chief Medical Information Officer
Tan Tock Seng Hospital

4:10 PM - 4:30 PM How to: Reduce operational costs by including AI-driven predictive analytics in the operational strategy

Dezhan Pi, Head of Innovation, DB Schenker
As part of a labour and capital intensive industry, there is an extensive opportunity for DB Schenker to leverage on the cognitive abilities of AI to bring their operations to the next level. This presentation showcases DB Schenker’s AI journey from January 2017, and highlights the importance of setting measurable indicators for performance evaluation.
  • Designing the AI business case according to specific goals and outcomes
  • Improving productivity levels and reducing operational costs with AI applications
  • Collecting feedback and evaluating project outcomes to allow for continual improvements

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Dezhan Pi

Head of Innovation
DB Schenker
Following the 3 case studies, our presenters will participate on this 30-minute panel, and will focus on lessons learnt from their AI journey. This is your chance to get all your “AI Implementation” questions answered.
  • Reviewing lessons learnt from existing AI projects
  • Evaluating project risks involved, and how we can overcome them
  • The hottest issue – How can we accelerate AI implementation in a sustainable manner?
  • Scaling AI up – Capitalising on the cognitive competencies of AI for enterprise-wide adoption

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Dr Ravinder Singh Sachdev

Deputy Chief Medical Information Officer
Tan Tock Seng Hospital
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Dezhan Pi

Head of Innovation
DB Schenker
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Adam Grabarczyk

SVP, Head Process and Business Management, DBS Digital Bank
DBS
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Dr Shonali Krishnaswamy

Professor, Data Science
Swinburne University of Technology

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Dr Shonali Krishnaswamy

Professor, Data Science
Swinburne University of Technology

5:10 PM - 5:10 PM End of Conference Day 1