Asia's most anticipated and exclusive Big Data & Machine Learning conference is coming to Hong Kong! Take your place alongside over 100 information technology leaders, data strategists and AI innovators who are redesigning the landscape of technology in business.

The summit will gather the most influential, knowledgeable and innovative data scientists and machine learning leaders from Asia and across the globe. We’ve hand-picked every speaker for their expertise, experience and influence in data, machine learning and AI technology and strategy for attendees to gain cutting-edge insights and networking opportunities.

Confirmed Speakers include:

Agenda

We co-develop the summit agenda with our data and AI Leaders group so you can expect a variety of activities, sessions and networking opportunities.

Agenda Highlights - 5 Streams & 2 Panel Discussions

  1. Data-driven Business Management

  2. Data Analytics and Commercial Success

  3. Data Science and Machine Learning

  4. Data Engineering and Architecture

  5. Rewriting Life - Health Data Science

  6. Panel Discussion - Data and AI Technology for Financial Industry

  7. Panel Discussion - Advanced Analytics Wrap-up

  • 08:00 – 08:50

    Registration

  • 08:50 – 09:00

    Chairperson Overview

  • Data-Driven Business Management

    09:00 – 09:30

    by Chiu Man Ho, Principal AI Architect, OPPO

    As the Principal AI Architect at OPPO US R&D, Chiuman is highly interested in AI research and its commercialisation. In this presentation he will introduce:

    - OPPO's view on AI - OPPO's overall AI strategy - Some productised AI projects - Some Original AI efforts

  • Data-Driven Business Management

    09:30 – 10:00

    Korey Lee, Director of Data Analytics and Insights, South China Morning Post

    Korey Lee will deliver exclusive insights into the company’s strategy to harness data-driven decisions and automation. Topics he will cover include:

    - Data analysis, insights and automated recommendations - Centralised data warehouse & ETL processes - Establishing a “Growth Team”

  • Data-Driven Business Management

    10:00 – 10:30

    by Tejas Shah, IT Director - Business Intelligence, L'Oréal

    Tejas is the Senior technology leader and management professional with over 15 years of experience in FMCG and consumer goods industries in India and abroad. He will be talking about integrating approaches in a existing ecosystem within a large scaled organisation such as L’Oréal.

  • 10:30 – 11:00

    Day 1 Morning Coffee Break - Network with attendees of both events.

  • Data-Driven Business Management

    11:00 – 11:30

    by Jo Goh, Account Director, Asia, Alteryx

    The Alteryx platform is revolutionising business through data science and analytics, enabling enterprises to experience the thrill of solving and shorten the distance from business problem to business solution. With Alteryx, business analysts and data scientists alike can discover, transform, model, and analyse data using a single governed, collaborative, and scalable enterprise analytic solution. It’s time to alter the way you feel about analytics!

  • Data-Driven Business Management

    11:30 – 12:00

    by Michal Szczecinski, Head of Analytics and Data Science, GoGoVan

    Michal will be sharing how GoGoVan build data services that enable the improvement of core aspects of their business.

  • Data-Driven Business Management

    12:00 – 12:30

    by Ashok Krishnan, Chief Data Officer and Head of Customer Experience, AXA

    How do you lead the Data Science, Data Management and Governance functions to serve and create the best customer experience? Ashok will share his solutions and insights in this presentation.

  • 12:30 – 14:00

    Day 1 Lunch Break

  • Data Analytics and Commercial Success

    14:00 – 14:30

    From Data to Decisions and Actions - Advanced Analytics at Melco

  • Data Analytics and Commercial Success

    14:30 – 15:00

    by Jayatu Sen Chaudhury, VP, Global Commercial and Merchant Data Science, American Express

    This presentation will discuss how Amex has adopted Big Data and its core processes in risk, fraud, marketing analytics and operations under the overarching framework of keeping customer data privacy issues at the centre of their focus. Meanwhile, Amex evolved to use a nimble and agile framework through establishing the right infrastructure to ensure that the company is unified across the Enterprise, can apply the BD and AI techniques at scale and pass on the benefits to customers.

  • 15:00 – 15:30

    Day 1 Afternoon Coffee Break

  • Data Analytics and Commercial Success

    15:30 – 16:00

    by Eric Thain, General Manager - Brand Management, HK Express

    Enterprises have data. Lots of data. When talking about Intelligent Automation, data is the core issue we should weave together. Releasing the value of the data that sits across various business operations is becoming the focus to fuel digital transformation, create monetisation opportunities, improve customer experience and reshape industries. Predictive analytics based on machine learning capabilities identifies and understands patterns among massive data streams and determines the right time frames for certain actions. In this presentation, we take a look at how Eric uses AI driven data analytics to help business unlock the potential of data by processing internal, external, multi-points and unstructured data, across the whole. By crunching the right type of data with the right approach of intelligent automation, it connects the dots and deliver actionable consumer insights to brand that drives bottom lines ROI.

  • Data Analytics and Commercial Success

    16:00 – 16:30

    In this presentation, Torbjorn, the CTO of OKAY.com, will explore how technology is already disrupting the real estate industry and how new blockchain technologies have the potential to transform the way people do business in this industry. The presentation will explain how blockchain and smart contracts will decentralize traditional models for real estate transactions, ownership, record keeping, and finance. Find out where the opportunities are in this disruptive new environment.

  • 16:30 – 17:00

    This is a wrap-up of the topics about data technology and finance, Fintech and investment studies. Speakers are from AXA, American Express, Alliance Bernstein and OKAY.com, as well as the Chief Information Officer of Standard Chartered Bank. They will sit together to discuss questions like: - How does the financial industry should embrace machine learning technologies? - How to understand and leverage disruptive technologies and the disruption in the financial industries - Recommend data governance and security strategies and actions And many more...

  • 17:00 – 19:00

    Networking Drinks

  • 08:00 – 08:50

    Registration

  • 08:50 – 09:00

    Chairperson Overview

  • Data Science and Machine Learning

    09:00 – 09:30

    by Danfeng Li, Chief Data Officer, Umeng+, Alibaba

    A lack of data is one of the major problems faced by inclusive finance. Nowadays, people spend so much time online and on mobile that online behaviour data is a very important data source which can be leveraged to predict a user's characteristic. This talk will discuss how Umeng+ applies user online and on mobile data to provide risk control, fraud detection, marketing, and sales solutions to internet finance companies and banks.

  • Data Science and Machine Learning

    09:30 – 10:00

    The workflow for building machine learning models often ends at the evaluation stage. Doran and her team want to share what happens after you build a machine learning model, highlighting the following topics:

    • The building process for the machine learning model

    • Prepping the model for release

    • What to expect when you apply the model in production

  • Data Science and Machine Learning

    10:00 – 10:30

    Given the resurgence of neural network-based techniques in recent years, it is important for data science practitioner to understand how to apply these techniques and the trade-offs between neural network-based and traditional statistical methods. This lecture discusses two specific techniques, real-world applications and their advantages and disadvantages, and demonstrations of exploratory time series data analysis.

    • Vector Autoregressive (VAR) Models – one of the most important class of multivariate time series statistical models applied in finance.
    • Recurrent Neural Network (RNN) - a neural network architecture suitable for time series forecasting.
  • 10:30 – 11:00

    Day 2 Morning Coffee Break - Network with attendees of both events.

  • Data Science and Machine Learning

    11:00 – 11:30

    by Joni Zhong, Research Scientist, National Institute of Advanced Industrial Science and Technology

    AIST is one of the largest public research institutes in Japan and functions as an “Open Innovation Hub”. Joni will introduce their studies on cross-modelling and developing the cognitive abilities of robots.

  • Data Science and Machine Learning

    11:30 – 12:00

    by Aleksandr Kotelnikov, Senior Engineer, Machine Learning Platforms, Hong Kong Applied Science and Technology Research Institute

    In the last two years, we have been watching a real boom of AI chip startups and big tech companies heavily investing in their own AI hardware. Why is all this happening and where are we going? Aleksandr will discuss machine learning hardware evolution in the recent years, its impact on the semiconductor industry and future perspectives.

  • Data Science and Machine Learning

    12:00 – 12:30

    by Albert Au Yeung, Machine Learning Lead Engineer, Zwoop

    Zwoop aims at assisting eCommerce customers to find the deals for desired products, and to automate the whole registration and checkout process.

    This requires a system that can identify and compare products from any eCommerce website, understand the availability of the different variations, and know how to navigate through e-commerce websites. In this talk, Albert will discuss the process and challenges of applying a wide range of AI and machine learning technologies to create a system that can browse the Web like a human user. He will also discuss how AI can help to automate many other processes in daily life.

  • 12:30 – 13:00

    In the 'Advanced Data Analytics' panel discussion, speakers will sit together for an in-depth discussion regarding: - How to build up a data culture - How to build up the right data strategy - How to develop analytics talents - How to prepare your data team for the challenges of AI technologies

  • 13:00 – 14:00

    Day 2- Lunch

  • Data Engineering and Architecture

    14:00 – 14:30

    by Ryan Lam, Data Scientist, China Light and Power

    Tropical storms are one of the frequent causes of service interruption on a power distribution system in Hong Kong. To minimise service interruption during tropical storms, engineers need to complete preventive measures on power distribution systems in extremely tight timelines. For enhancing the effectiveness of preventive measures, it is necessary to use Data Science to predict the tropical storm's impact on power distribution system as accurately as possible.

  • Data Engineering and Architecture

    14:30 – 15:00

    by Jason Hutchings, Senior Design Director, SNC-Lavalin’s Atkins

    As the TOD model expands across the Asia Pacific Region, with particular focus on the use of analytical methodologies to predict how pedestrians flow between public transport and retail environments, an integrated and technology driven approach enables SNC-Lavalin’s Atkins to focus on customer experience, the impact of in-station planning of ‘invisible’ fare collection, and the need to future-proof our transit hubs against social change.

    This presentation will focus on AI and human-centred design tools in the context of public transport. Combining architectural, planning and engineering design, and further advanced by the application of digital technology, Jason will discuss how the interaction of people with the infrastructure will be changed.

  • 15:00 – 15:30

    Day 2 Afternoon Coffee Break

  • Rewriting Life - Health Data Science

    15:30 – 16:00

    Traditional drug discovery is a complex years to decades process with a high degree of uncertainty. The challenges are lack of the knowledge of disease mechanism, biomarkers, patient heterogeneity, target mechanism of action (MOA) etc. Emerging technologies such as genomics filled many of those gaps and therefore became standard approaches in both preclinical research and clinical development. Next-generation sequencing is the most widely used technology for understanding genetic information. However, the explosion of data raises the challenges in data storage, process and most importantly, how to mine and interpret the data. Here we show some business cases of the application of big data and cloud computing in target identification and validation.

  • Rewriting Life - Health Data Science

    16:00 – 16:30

    Large-scale genomics researches help us identify the relationship among genome, phenotype, clinical features, and even social behaviors. Management, sharing and analysis of large-scale genomics data is a challenging task to convert the raw data to research results and healthcare applications. The speaker will share their experiences in the usage of cutting-edge information technologies, such as distributed storage and computation, deep learning and blockchain, to build the largest DTC and cohort based population genomics research and application platform in China.

  • Rewriting Life - Health Data Science

    16:30 – 17:00

    by Abdelkrim Belhaoua, Research Scientist & CEO, Mars Medical Robot

    In medicine, specifically navigation in surgery and interventional radiology, AR is becoming an increasingly helpful tool. Medical AR requires advanced fusion techniques involving different data sources, usually provided by image modalities such as CT, MRI (pre-operative) and ultrasound or cameras (intra-operative).

  • 17:00 – 18:00

    End of Summit

What to expect

Speakers

Our agendas consist of global and regional leading experts, curating talks on the latest hot topics and allowing you to understand the key take-aways from any presentation.

Variety

An exclusive event that boasts various activities for in-depth learning, experience sharing and effective networking, including keynotes, presentations, panel discussions, workshops, and much more.

Exclusiveness

A strict vendor and industry ratio control to avoid sales pitches and focus on real learnings and the exchange of relevant and effective knowledge.

Networking

A cross-industry mix of speakers and attendees to learn, network and collaborate through various interactive social sessions, including social breaks, buffet lunches, cocktail reception and Executive Dinner.

The Venue

Nestled in the heart of the bustling shopping, business and entertainment district of Tsimshatsui East, the award-winning InterContinental Grand Stanford Hong Kong offers sophistication and heritage amidst the breath-taking views of Victoria Harbour. With luxurious guest rooms and suites, excellent meeting and event facilities in a comfortable setting and a host of world-class restaurants, this is the perfect place for business and leisure travellers alike.

We have negotiated a special room rates of HK$1,600 for you to stay at the hotel. To reserve your stay please click the "Book your stay" below and follow the instructions.

Book your stay

Sponsors and Media Partners

We’re always looking for go-ahead, fascinating sponsors who align with the vision behind our global leadership summits. If you want to connect with an audience of senior executives and a global network of business leaders, please reach out to Allan .

Gold Sponsor

Media Partner

News Release Distribution Partner

Become a sponsor

  • Slide 01
  • Slide 02
  • Slide 03
  • Slide 04
  • Slide 05
  • Slide 06
  • Slide 07
  • Slide 08
  • Slide 09
  • Slide 10

Tickets and Price

Be part of Hong Kong's Big Data & Machine Learning Leaders Summit to connect with global thought leaders, learn new strategies and advance your data leadership skills.

Reserve your place today. We’re looking forward to welcoming you!

Don't just take our word for it

  • It’s really impressive the diversity of speakers that have been brought up here today and the content they’re presenting. You have a really engaged audience which is nice - the questions are thoughtful and interesting and we’re learning a lot.

    Alex Silberman, Monster, Boston

  • It’s amazing - the speakers are all doing a great job, I’ve listened to many talks on very diverse topics. The audience contributed great insights, are very engaged, the discussions are very insightful, and I’ve learnt a lot myself.

    Jen Wang, WayFair, Boston

  • I’ve enjoyed it tremendously - good presentations and lots of good questions by an active audience, the room and schedule is full. The speaker quality been excellent and the participation from the audience in terms of quality of questions has been very very good

    Martin Ciupa, calvIO, Boston

It’s easy to get onboard and start benefitting instantly. Either enrol at a Summit or sign up for an annual membership.