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: Democratise AI – Bringing the power of artificial intelligence to everyone

Jonas Lim, Director of Solutions Engineering Asia, Salesforce
The impact of AI on enterprises is undeniable, but for many companies, the technical expertise, infrastructure and other resources required to deliver AI solutions is too significant to leverage in their enterprise applications. In this keynote address, learn how any enterprise can instantly embed AI in their customer success platform to deliver smarter, personalised and more predictive customer experiences.

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

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Jonas Lim

Director of Solutions Engineering Asia
Salesforce
  • 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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Ramesh Narayanaswamy

Group Chief Information & Operations Officer
CIMB
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Dr Shonali Krishnaswamy

Professor, Data Science
Swinburne University of Technology
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Andy Ngan Le

Former Head of Data Science
Zalora

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: Utilise chatbots for enhanced customer experience – a Clean&Clear case study

Casey Penney, Head of Digital – Beauty, APAC, Johnson & Johnson
  • Insights to Action – Propelling discrete consumer concerns into a participatory engagement platform
  • Powering up with partnerships to create robust technographic experiences for Gen-Z & Post-Millennials
  • Enacting internal change management to get a global MNC to embrace new AI frontiers

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Casey Penney

Head of Digital – Beauty, APAC
Johnson & Johnson

2:10 PM - 2:30 PM How to: Develop actionable AI for Intelligent Video Analytics (IVA) solutions

Dr Ettikan Kandasamy Karuppiah, Director, Developers Ecosystem, Enterprise Business, SEA Region, Nvidia
  • Driving awareness of tools, techniques and platform made available by Nvidia for Deep Learning developers in general
  • Focusing on specific platform details for IVA (Intelligent Video Analytics) based platform as an example for actionable AI application development
  • Constructing general guidelines and techniques for large scale video deployment and actionable application development using DNN models either in front-end or back-end

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Dr Ettikan Kandasamy Karuppiah

Director, Developers Ecosystem, Enterprise Business, SEA Region
Nvidia

2:30 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 , ,
  • 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

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, Manager, Global Healthcare Solution Design, 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

Manager, Global Healthcare Solution Design
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

Manager, Global Healthcare Solution Design
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