NextBigTech Asia 2020 Conference Agenda

The big data and AI conference, NextBigTech Asia 2020 is set to receive 100+ delegates sharing insights and gathering inspirations from 20+ speakers globally this 7 and 8 September 2020 at Connexion@Nexus, Bangsar South, Kuala Lumpur with its with its strategic partner, Malaysia Digital Economy Corporation (MDEC) and knowledge partner, McKinsey & Co. This conference coming into sight for the fourth time would allow the growth of networking and connection with the Artificial Intelligence, Big Data & Data Science Community directly to share their thoughts and insights. 4th NextBigTech Asia 2020 is curated along with the great minds of our advisory board members from around the world.

08:00 – 09:00
Registration of NextBigTech Asia 2020 Conference
09:00 - 09:10
Welcome Address
09:10 – 09:25
Opening Remarks

Technology has shown again its power during the Covid-19 (novel coronavirus) outbreak. A series of mobile applications were launched to provide updates and to detect if anyone came in contact with an infected patient. The Malaysian government along with the transportation agencies used the app to detect the whereabouts of the infected patients over the past 14 days. This session discusses on:

  • How the Malaysian government used AI and data analytics to gather and analyze the locations that the infected person visited? 
  • How the back-end system manages to support a high rate of registration at one time.

Machine learning and artificial intelligence models have provided the best-to-best results in businesses, however, these models are created to deal with specific amounts of input only. With the drastic shifts into the digital environment, let it be e-commerce or e-learning, algorithms that run at the back-end go haywire when the sudden increment of input is provided. The failure in data management incurs a significant cost to businesses, operationally, and customer experience. In this session, hear from the experts on:

  • How did the essential business companies handle the back-end algorithms during the lockdown of the pandemic? 
  • Human skills have proven to better manage the sudden flow of traffic and timelines, as such, companies that are heavily dependent on digital usage, how are they making sure to continue having the human touch in times like this.
10:30 – 11:00
Morning Refreshments & Tour to Exhibition Hall

The New South Wales (NSW) government has started leveraging AI in mobile phone detection while driving. High-definition cameras have been installed all over NSW roads that operate all day long with AI implemented to automatically review and detect offending drivers. This session will discuss on:

  • The effectiveness in implementing such cameras. 
  • The customization of AI in reviewing and detecting the offending drivers.

The multinational consumer goods organization, Unilever, with revenue of last year at US$57.40 billion has heavily invested in artificial intelligence to drive the company’s marketing decisions. Unilever established 27 ‘People Data Centres’ around the globe to localize their marketing efforts. In this session, hear from the expert on:

  • How Unilever is keeping track of the success rate of using localized marketing strategies in various countries?
  • Unilever’s ambition is to create one billion one-to-one consumer relationships through its People Data Centre using real-time analytics. Has Unilever managed to customize their marketing to each consumer base? 

Since the imposition of lockdown amid CoVid-19, digital contact tracing was used by many countries including Malaysia, MySejahtera app, to manage the spread of CoVid-19. Personal details such as the user’s full name, MyKad or passport number, email, and residential address were required to be provided in the app. However, privacy invasions have become a worry to citizens and none are aware of the safe keeping of the data for now and future. Hear from the speaker on what are the plans of the government in keeping the citizens’ data safe and once CoVid – 19 eases, such systems that stored the data, are they in safe hands and away from being exploited by hackers.

Facial recognition tools are now widely found in many devices from security cameras to mobile phones. Many government authorities have leveraged on these tools in various forms of activities. However, is the privacy of the individual secured and the data gathered from the facial recognition tool, are they used for the right purposes by the right people? Join this session to hear directly from the expert.

Dr. Neeta Verma, Director General, National Informatics Centre (Government of India), India

13:00 – 14:00
Networking Luncheon & Tour to Exhibition Hall

DHL, the world’s leading logistics provider, launched its first dedicated innovation centre in Singapore for innovative logistics services in Asia Pacific. The centre is to provide a platform to convert ideas into customer-centric solutions where collaborating and innovating with partners and customers in Asia. DHL has proven innovative work in logistics and robotics to simplify operations and with the innovative centre in Asia, disruption may continue to serve the market in this part of the world. In this session, hear from the expert on the strategies to disrupt the logistics and supply chain market in Asia and the innovations involving big data, AI, and ML to shape the future of logistics.

One of the largest retailers in the world, Walmart, uses Big Data analytics before Big Data came into practice. Walmart uses Data Mining to discover patterns of its customers to provide recommendations based on the products they bought. The motive of such doing is to offer the best customer experience. Logistics were also made sure in place to supply items needed by consumers. In this session, the panelists will be discussing:

  • How can other industries implement Walmart strategies to provide the best customer experience to their consumers?
  • What other forms of steps could be taken, in terms of AI and Big Data usage, to increase the revenue of an organization?



Jatin Solanki, Group Head of Data Science, Fave Asia



Tang Siew Wai, Country Head, Carousell, Malaysia



Tejas Kirodiwal, Regional Head of Growth, ZALORA Group, Malaysia

In the aviation industry, AI is expected to grow from 152.4 million in 2018 to $2.2 billion by 2025. Most of the airlines and airports are heavily investing in AI to provide better services wherever they are lacking. Tata Singapore Airline Vistara is looking into implementing machine learning and robotics technology in the next phase of aviation. In this session, hear from the professional on how Tata Singapore Airline Vistara will be using machine learning in customer acquisition such as looking for customers that are unhappy with their airline carriers and providing them a better offer to attract them. Moreover, hear on what the strategies will be used to handle disruption changes in terms of design, engineering, and material of the aircraft.


Ravinder Pal Singh, Chief Information & Innovation Officer, Tata Singapore Airlines Vistara, India

15:45 – 16:15
Evening Refreshments & Tour to Exhibition Hall

Visa is in the business of changing the way to pay and be paid and as the world’s largest payments network operating in over 200 countries or territories, with 3.5 billion Visa cards, Visa is poised to take advantage of the Big Data revolution. In this talk, the speaker will be sharing on: 

  • How Big Data Analytics has transformed the payments industry, the future trends of the payments industry, as well as the challenges when it comes to integrating Big Data Analytics to the organization.
  • In improving the customer experience, Visa has a long history of applying machine learning and deep learning methods in fraud detection. However, increasingly in recent years, Visa believes that data is also key to giving consumers what they want, making the payment processes seamless and developing new digital products. Learn how some of the predictive model’s Visa developed to help improve clients’ business, which is integral in implementing a hyper-personalised marketing strategy.
  • In transforming the way business decisions are made, Big Data is not only about algorithms and infrastructure, but very often it involves a paradigm shift, adoption of a new culture, and change management. Learn how the Analytics Maturity Model that Visa uses to gauge the readiness of an organization in terms of Big Data.


Dr. Shin Liang Chin, Head of Data Science, Visa, Malaysia

After the Lunar New Year break ended in late January 2020, CoVid – 19 (coronavirus) outbreak have forced the education institutions to deliver classes online especially when various governments of different countries have imposed lockdowns. In mainland China and Hong Kong, 30 million learners and 3,000 institutions at the tertiary level were rushed to develop and launch online classes. In this session, the panelists will discuss on:

  • Students complained that they had to turn off their video feed to block out the background of families yelling or playing mahjong. Such situations have caused students to prefer to attend classes physically rather than virtually. What are some of the techniques that the tertiary level should take in order to avoid unnecessary disturbance and to promote e-learning especially for emergency situations such as CoVid-19? 
  • Meanwhile, Australia higher education institutions which had almost 100,000 Chinese international students, seek for online solutions to deliver education as per usual to avoid the students from being left behind due to travel restrictions. What are some of the measures and lessons that universities should take and learn in delivering education anytime and anywhere?
End of Day 1 - NextBigTech Asia 2020 Conference
08:00 – 09:00
Registration of NextBigTech Asia 2020 Conference

We all look forward to technology advancements for exciting and new implementations. The advancements, however, come with a need to ensure safe data governance. Estonia’s chief data officer, Ott Velsberg, will elaborate on data governance in Estonia – the results thus far, major obstacles, and lessons learned.


Ott Velsberg, Government Chief Data Officer, Ministry of Economic Affairs and Communications, Republic of Estonia

There are no concrete results that AI will solve all the diseases in the world but there is no doubt that AI is helping in detecting and curbing further spread of diseases. Different diseases have different ways of studies and with AI and big data, the data collected are analyzed and used to find cures and treatments. This session will discuss on:

  • The benefits of mass data collection with big data and AI in ability to determine treatments.
  • Time frame needed with deep learning and AI to detect and treat a new disease.


Datuk Dr. Kuljit Singh, President, Association of Private Hospitals Malaysia

Innovation alone will not help the entrepreneurs to succeed in the end goal of meeting the demand of patients. Instead, the innovations must include the fundamental human problems that meet better solutions. Tech companies are often creating and selling products that are not solving the doctors’ and patients’ problems. This has caused failures in the MedTech industry. This panel will focus on:

  • How important for tech companies to work hand-in-hand with doctors in innovating and producing relevant products?
  • What problems are foreseen to increase in the near future and how tech companies may innovate products based on these uprising issues?


Safura Moin, Head of Digital Services, Group Technology Services, KPJ Healthcare Berhad, Malaysia



Jaffri Ibrahim, Chief Executive Officer, Collaborative Research in Engineering, Science & Technology (CREST), Malaysia



Prof. Dr. Zahid Haque, Chairman for CoVid-19 of World Health Innovation Summit (WHIS) & Advisor for UN Global Sustainability Index Institute (UNGSII)



Tan Sri Dato’ Dr. Abu Bakar Suleiman, Former Chairman, Health Advisory Council & Chairman, IMU Group, Malaysia

10:45 – 11:15
Morning Refreshments & Tour to Exhibition Hall

Thyssenkrupp has been known for producing intelligent and high-quality industrial products such as elevators, aerospace, etc. AI and analytics have become an important part of Thyssenkrupp in aiding to improve the performance and reduce the cost of operations. With analysis from data, predictive maintenance, and advanced process controls are created and installed in their products. Hear directly from the expert on how Thyssenkrupp implements AI and analytics, over the years, to produce optimized products. Witness also how the company solves problems using machine learning and AI.


Abhinav Singhal, Chief Strategy Officer, thyssenkrupp Asia Pacific, Singapore

To create a successful Industry 4.0 project, it has to be more than technology, in terms of creating benefits to the company. Even during bad times, such as a recession or CoVid – 19 outbreaks, industry 4.0 projects should not be affected much as budgets are planned ahead, work is ahead of schedule, and many more. This session will be discussing:

  • How industry 4.0 became a very important and impactful revolution to the manufacturing industry and to the economy in terms of smart manufacturing?
  • What are some new strategies that manufacturing industries in Malaysia could learn to tackle on to prepare for the future revolutions and be on their toes to implement them?



Aaron Tan Dani, Chief Architect of Digital Enterprise Architecture Office, IASA APAC



Michael Taylor, Chief Data Scientist, Siemens Mobility Rail Analytics Center, Singapore



Abhinav Singhal, Chief Strategy Officer, thyssenkrupp Asia Pacific, Singapore


Guru Adrakatti, Chief Digital and Innovation Officer, Hong Leong Manufacturing Group, Malaysia

12:30 – 14:00
Networking Luncheon & Tour to Exhibition Hall

Siemens is way ahead when it comes to rail analytics and they even have built a centre of Siemens Mobility Data Services Centre. From smart data to smart prediction, Siemens has it covered all and guarantees better and more accurate algorithms introduced the year after. In this session, hear from the expert on how Siemens has been leveraging and analyzing the data gathered using AI algorithms and creating the digital portfolio for the entire value chain from planning to designs and engineering.


Michael Taylor, Chief Data Scientist, Siemens Mobility Rail Analytics Center, Singapore

E-commerce and retail industry companies are turning into experts in predicting the wants and needs of customers. Regardless of demographic and geography, these companies analyze the data of their customers and understand their buying patterns and demand for goods and services. Such customer experiences create the loyalty of consumers to continue shopping with the platform as the company knows them well. In this keynote, the expert from Bukalapak will provide a glimpse of Bukalapak’s future strategies to continue attracting more customers with the data available and staying competitive in the market. Not forgetting, to also address the actions in maintaining post-purchase relationships with customers.

Muhammad Ghifary, Head of Artificial Intelligence,, Indonesia

There was a time where everyone looks forward to the technology advancements for exciting and new implementations. However, the advancements come along with ‘dirty data’. ‘Dirty data’ is the new ‘fake news’ that is taking control of the online world. In this session, hear from the expert on:

  • How to avoid getting influenced by ‘dirty data’?
  • What policies should companies implement to make sure they are away from such negativity?


Ivana Bartoletti, Co-Founder, Women Leading in AI & Author of ‘An Artificial Revolution’, UK

15:30 - 16:00
Evening Refreshments & Tour to Exhibition Hall

Technology modernization is something that all organizations vision to implement and improve in, to provide the best-to-best services to their customers. Malaysia Airports Holdings Berhad (MAHB) collaborated with partners as part of the Airports 4.0 initiative to enhance terminal optimization, operational efficiency, revenue generation, and regulatory compliance. In this session, hear from the expert on the implementation of 5G with AI in airports and managing technology and data integration to avoid any glitch or data breach.


Lee Yiang Ming, Chief Information Officer, Malaysia Airports Holdings Berhad, Malaysia

Malaysia recorded the third-highest death rate in Asia and Asean from road accidents in 2019. The government in Malaysia is taking serious measures to reduce the rate such as enforcement on mobile usage while driving, buckling seat belts in motion vehicles, and many more. Some tech companies have attempted to implement ML and AI in vehicles. The ML and AI will predict dangerous driving or situations that are upfront on roads and send alerts to the vehicles with enough time for the driver to react and avoid accidents. In this session, the expert will discuss on:

  • Are the implementations of AI and ML acceptable to the drivers of Malaysia? Will the citizens of Malaysia change their vehicles and opt for a smarter vehicle?
  • The data that is gathered by these vehicles on the roads, how can the Malaysian authorities make use of them, and alert other drivers that are using real-time traffic to plan their drive?
End of NextBigTech Asia 2020

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