Skip to navigation Skip to main content

Registration and breakfast

AI in Finance (Day 1 Afternoon)

Lunch - Exhibition area

Chairperson Overview

From Artificial Intelligence to Financial Intelligence

- Leveraging AI to strategically transform finance teams
- Automate a repetitive process and optimize the efficiency of finance processes

Sigrid Rouam Head of Data Science and Visualisation Singapore Exchange Limited

How can adoption of deep learning be accelerated in financial sector?

- Deep learning and computational grapy techniques for derivatives pricing and analytics
- Analysis pool of data, using deep learning analyse corporate information

Matthew Johnson Global Head, Analytics Platforms Standard Chartered Bank

Finance healthy: Fintech is making a difference

Managing finances can be very challenging, 57% of Americans have limited, or inadequate, access to basic financial services to help manage their day-to-day finances or prepare for financial shocks. Looking closer at this, a staggering 75% of students face a variety of financial health challenges that affect their ability to succeed in their planning for education, life as a student, and post student life.
What is the role of mobile technology in maintaining financial health? How can mobile app developers improve financial stability for users by making smarter decisions? In this session Ash will discuss six key principles developers can use to launch and grow a successful. financial health app, in turn have a positive impact on the world.

Ash Hassan Head of Fintech Ecosystem Development Google Play

Afternoon Coffee - Exhibition area

Methodology of detecting fraud through data analytics

He will cover the following three topics with common pitfalls that come with analyzing data in mobile payments.
Topics Include:
1. Fraud patterns in a single account
2. Fraud patterns using multiple accounts
3. Risk-based Whitelist model

Seonmin Kim Data risk analyst LINE Corporation

Evolving CFO role with AI

- Are CFOs ready for AI?
- What is important for a CFO know about leverage AI
- Get CFOs at the right level of education to know what AI can do
- What skillset is required?
- Building the finance strategy on AI

Networking Drinks

AI & Big Data Analytics

Lunch - Exhibition area

Chairperson Overview

Enabling better use of health data

- Machine learning technologies improve the quality of underlying service
- Challenges on how to tackle issues along with test of datasets.

Sutowo Wong Director, Analytics & Information Management Ministry of Health

Future of Health Data Science

- Challenges and opportunities in leveraging big data and artificial intelligence for delivering better healthcare outcomes
- Journey towards the development of a sustainable data science ecosystem for the continuous improvement in the delivery of health services
- Real-world cases on the development of augmented intelligent systems for health services delivery

Sean Lam Head of Data Science Singhealth

Session reserved for Denodo

In the years of the dotcom madness it took audacity to imagine how to integrate data without moving it from its original repository. The IT world was thrilled by the revolutionary idea of connecting content through hyperlinks. The ability to create webs of searchable and browsable documents. And the capacity to reach fragmented information quickly and easily through simple applications such as search engines and internet browsers. Far from the hype of internet fever, Denodo envisioned a middleware technology that could bring the flexibility of the web to the rigid world of enterprise data in corporate data centers. Denodo focused on building a data virtualization product with the capability to query, browse, search and manage corporate data. All this, without the need to move data, replicate data, or code. This dream became a reality. We like to call it the Denodo Platform.

Afternoon Coffee - Exhibition area

Session reserved for Aliz

Balazs Molnar CEO, APAC Aliz

Consumer centricity with social intelligence

Understand L’Oréal’s data / analytics / AI Journey w.r.t. Social Intelligence to understand their Consumers, be consumer centric with an holistic data ecosystem adding value across all Enterprise functions.

Tejas Shah Director, BI, Analytics & Integration L'Oreal

Machine learning & AI – A leadership perspective

- What’s the ROI on machine learning & AI, how to justify
- Does AI result beat human work?
- What’s the challenge for CTO

Networking Drinks

Data-Driven Marketing

Lunch - Exhibition area

Chairperson Overview

Data for good – How World Vision use data to increase charitable donations

- Ground zero – Building business confidence in algorithms
- From ‘Batch and Blast’ to refined segments
- Using ML to drive ‘Next Best Offer’, increasing engagement across social and display.

Ian Evans Head of Data, Analytics & Insights World Vision Australia

Leveraging analytics for more efficient media attribution and allocation

Attribution modelling for digital advertising has been around for some time.
However, measuring the impact and performance of offline media like TV has been survey based for the last 40 years.
To give the scale of this issue, each of our companies spend about 10 million dollars a month on advertising and 50% of this goes into offline media. And the only measurements that are available to justify this spend is TRPs and quarterly traffic data. In most cases it is entirely based on experience.
With vast availability of data and app usage, we now can attempt the offline media attribution problem
We tracked a campaign in Indonesia which had 50% better viewership in our target segment and we could measure this using data. All of this at the same cost.
For billboards we recommend the most suitable site based on our street view data and traffic prediction using telco data. We managed a 30% decrease in costs while keeping impact the same.

Pedro Uria-Recio Group VP, Head of Analytics Axiata

Session reserved for Tealium

Afternoon Coffee - Exhibition area

AI and New Retail Marketing

- How internal machine learning systems predict decision making
- Increasing data algorithm for accurate recommendation online

Anmol Arora Business Director - APAC and MENA ViSenze

Creating a data-driving go-to-market strategy

- Address the current issues
- Test and refine the strategy and drive company’s strategy
- How data bending accelerates audience insight

Dhruv Shanker Former - Regional Head of Marketing ofo

Session reserved for MoneySmart

David Harling Chief Marketing Officer MoneySmart Group

Networking Drinks

Smart Cities (Day 2 Afternoon)

DATAx Leadership and Innovation

Registration and breakfast

Opening remarks

Currently looking for Chairperson for this session. Get in touch at ichen@theigroup.com

360 degree AI in Singapore as innovation hub

- Singapore as a innovation hub for everything, a real incubator hub

- Locating at the centre of the world, Technology outlook in 2019 for Asia / Singapore

- Singapore as the innovation and technology incubators for cross industries

Session reserved for IBM

Senior Data Expert Industry Leader IBM

Organisational cultural changes required for success in Artificial Intelligence

Artificial intelligence is a key differentiator in an era of digital transformation. AI is a deep skillset that requires high performing technical teams and data at scale. In this session, we will review the organizational cultural changes required for success in AI:
●Mission: strong focus, governance and ethical framework
●Talent: a critical mass of specialist and generalist data scientists
●Infrastructure: to obtain, create and manage the data
●Knowledge: to deploy statistical and data-mining models

Dr Meri Rosich CDO, Head of Science Visa

Morning coffee break - Exhibition area

How to get real business impact from AI

- AI provides organisations with ability to process large volumes of reusable data and discovery, data visualisation
- Predict algorithmic trading strategy performance
- AI improves customer service and product value

Reuben Ng Assistant Professor Lee Kuan Yew School of Public Policy

Human-machine interface in the IoT era

Relentless consumer demand for seamless connectivity and interactive user interfaces is driving a paradigm shift in the Internet of Things (IoT) landscape. Advancement in human-machine interface technology platforms and solutions will enable new product innovation and functionality across IoT devices, systems and applications. The presentation will provide an overview of innovation and product platform strategies as well as examples of transformational technologies including intelligent sensing, data analytics and visualization.

Albert Lu Chief Technology Officer Interlink Electronics

Panel: Create a dream team, how to pick your shots.

- What’s the role CDO
- Data culture, what makes a perfect team
- Challenges and strategies

Daniel Kusmanto Global Head, HR Analytics ASM

Lunch - Exhibition area

Choose your track

Choose your sessions from:
1 - AI & Data Analytics
2 - AI in Finance
3 - Data Driven Marketing

Afternoon coffee break - Exhibition area

Choose your track

Choose your sessions from:
1 - AI & Data Analytics
2 - AI in Finance
3 - Data Driven Marketing

Closing remarks

Networking drinks - Exhibition areas

Startup Launchpad

Startup Launchpad

Networking Drinks ends at 7.00pm.

Registration and breakfast

AI in Finance (Day 1 Afternoon)

AI & Big Data Analytics

Lunch - Exhibition area

Chairperson Overview

Optimizing AI applications through deep learning

- Advancing data algorithm from unstructured data to provide accurate commercial insights
- Case study on how NLP accelerates deep learning accuracy
Useful practice for human voice recognition, and how AI can help on industry services.

Juliana Chua Head of Digital Transformation NTUC Income

Real time analytics for new retail – A tale on single’s day sale

- AI & Machine learning accuracy increase massive sales
- How did scientists at Alibaba creating the platform and enable the performance

Bill Lang Jun EVP & Director, Data Science Lazada

Enabling business model changes through data driven insights

Afternoon Coffee - Exhibition area

Applying medical user insights real time analytics with AI

- Making sense of mass data collected from medical users
- Applying AI to improve efficiency in certain types of surgeries

Georgio Mosis Head of Innovative Technologies AIA

Big data analytics in new retail era

"New Retail" has become one of the hottest topic for the Ecommerce industry. From online to offline integration, from old to new, from tradition to intelligence, retailing has undergone many changes.
In this pane, topics will focus on:- How big data and AI accelerates the revolution of "New Retail"- New technologies enables the growth of the 'New Retail" - Supply Chain with New RetailsMo

End of summit

Data-Driven Marketing

Lunch

Chairperson Overview

Omnichannel Personalisation Like You've Never Seen It

- How does data analysis drive digital personalisation (case study)
- Digital channels offer organisations the ability to recognise customers and personalise experiences. What are the opportunities and associated risks?

Prasanna Kumar President, Regional WPP Client Team and Global Ecommerce/Data lead WPP

Using AI to boost email campaign performance and revenue relevancy

- Machine learning collected data to predictive consumer behaviour
- Leveraging deep learning in order to maximize campaign revenue and customer engagement

Nanthekumar Tamilselvan Head of Marketing Tech & Automation NTUC Link

Insight-driven marketing for the new digital consumer

The dynamics between new consumerism and technological innovation has turned into a very interesting playground. While on the one hand, people are constantly questioning what they truly value and minimalism is taking more and more space inside homes, we are also noticing digitally influenced purchases growing faster than ever. 3 billion people from emerging markets are estimated to be online by 2022 and digitally influenced purchases in these markets will approach $4 trillion – almost half of all retail spending by 2022.

What does this mean for businesses?
· Customer 360 is not going to be enough – there will be a need to analyse customers in newer dimensions

· Data lakes will need to be rebuilt as data rivers that are heavily blended (open, social, device etc.) and, are more agile and dynamic

· Integrating AI at scale across all functions within the organisation will become nonelective

· And, most importantly, Marketing needs to be driven through interconnected insights

In this talk, we will discuss some of the most interesting facets of change and how can companies ride this wave.

Piyush Sagar Mishra Data Science & Advanced Analytics Boston Consulting Group

Afternoon Coffee

Turn your data and insights into an engaging experience

- Better understanding consumers through segmentation and cross-channel data analysis and improve consumer engagements
- Using Machine learning and AI to real time analytics

Evan Januli Head of Marketing EF English First

Data-driven product management: How to build a winning customer experience in the digital era

Anjali Kalia Head of Consumer Connections Reckitt Benckiser

End of summit

Smart Cities (Day 2 Afternoon)

Chairperson Overview

Tim Hill Research Director Eco Business

Digital mobility driving our cities

- How IoT, big data and Machine Learning are converging the system
- Practical cases by using IoT cross industries
- How to devise IoT strategies
- Conventional city transport is being displaced by new digital drivers

Mark Thomas Managing Director Serviceworks Group

Smart cities – and stepping stones to get there

In the presentation I will elaborate about key pillars of a smart city

Connectivity = IoT, connected data, data sharing
Intelligence = insight through AI and ML and analytics, ontologies
Security = risk + cyber safety / security

A Smart City can be characterized as the integration of technologies empowering citizens and players to interact in a more convenient, efficient and sustainable way, with the overall objective to enhance citizen wellbeing and economic competitiveness.

This presentation will focus on the stepping stones to get these building blocks together – elaborating on connectivity, intelligence and cyber security.

Mathias Steck EVP, Smart Cities DNV GL

SMART manufacturing - Dyson digital motor

Introduction into the Dyson story.
The Development and Manufacturing of the Dyson Digital Motor:
- UK HQ: Research on new Technology Solutions.
- Singapore Technology Centre: Development of Algorithms, Software and Hardware.
- Singapore & Philippines Advanced Manufacturing: Application of SMART Manufacturing.

Jim Roovers Head of Applied Data Science Dyson

Afternoon Coffee

Bricks to Bytes: How IoT and 5G will transform smart cities

Smart cities are built with extensive, diverse and complex infrastructure. A Smart city will have operate its public infrastructure such as utilities, transportation, healthcare, financial at the best efficiency level. Unfortunately, most cities face the challenges to transform the existing brownfield infrastructure, and hence struggle to crate new value added services for its citizens. As easy as it may sound to say Smart City, the dynamic nature and inherent infrastructural readiness and availability challenges make the most Smart City initiatives a mountain to move. In this talk, CK will share practical insights, how some of those challenges can be addressed with IoT and 5G.

CK Vishwakarma Founder IOTSG

Navigating the journey from vision to reality

- How to fuel the city’s digital transformation
- How to improve the data accuracy
- What else need to be consider to be top smart city in the rank

End of summit

DATAx Leadership and Innovation

Registration and breakfast

Opening remarks

Currently looking for chairperson for this session. Get in touch at ichen@theiegroup.com

Transforming to a performance culture

In this talk Ruben and Aditya will present overview Zalora and journey from Start-up phase to Building for Scale and Sustainability. The Business Intelligence Journey and next phase. On stage discussion with BI manager showcasing the architecture / case studies

Ruben Stappers CFO ZALORA
Nag Aditya Gade Manager, BI ZALORA

Addressing privacy and untangling bias for responsible AI

Do you know how your AI makes decisions? Would you know if your AI was producing biased outputs? Do your stakeholders know how decisions made by AI will affect them? Deploying AI technology carelessly could embed adverse consequences in your organizations, and cause unintended ripple effects on society. As organizations in virtually every industry adopt AI solutions, such ethical and privacy concerns are becoming increasingly relevant.
This talk aims to provide AI practitioners, providers and policymakers with tools and techniques to navigate the complex space of AI ethics and build AI products that are innovative, compliant and effective.

Jason Tamara Widjaja Associate Director, Data Science MSD

Combining human and artificial intelligence: how creatives and data scientists work in concert at Netflix to craft a personalised experience.

AI has revolutionized many fields in recent decades, sparking some fear that humans will soon be made redundant. However, especially in creative fields such as the entertainment industry, domain knowledge from human experts is crucial, and cannot be replaced by machine intelligence. At Netflix, creative domain experts and machine learning engineers/data scientists work closely in concert to craft a personalized experience for members.

Grace Tang Senior Data Scientist Netflix

Morning coffee break - Exhibition area

From insights to commercial transformation journey

- Voice control and data collection, deliver a better user journey
- Applying machine learning at consumer products
- Home automation real cases

Jim Roovers Head of Applied Data Science Dyson

Women leadership panel - Women Data Leaders in Tech

In this panel will talk about the journey they've had in generally highly male dominated fields and how they grew their careers. Would be great to hear about perhaps the struggles they've faced, what support they had and what advice they would give to younger women who are thinking about moving into data fields.

Lynette Pathy Advisory Board Member Girls in Tech Singapore
Wan Ting Poh Managing Director Girls in Tech Singapore
Meggy Chung Director & Head of Data Service Citibank
Geetanjali Bhalotia Manager, Global Data Bloomberg LP

Lunch - Exhibition area

Choose your track

Choose your sessions from:
1 - AI & Data Analytics
2 - Smart Cities
3 - Data Driven Marketing

Afternoon Coffee - Exhibition area

Choose your track

Choose your sessions from:
1 - AI & Data Analytics
2 - Smart Cities
3 - Data Driven Marketing

End of summit

Startup Launchpad

Startup Launchpad