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

Confirmed Speakers include:

The summit will gather the most influential, knowledgeable and innovative data scientists and machine learning leaders across the globe and in Asia. We’ve hand-picked every speaker for his/her expertise, experience and influence in data, machine learning and AI technology and strategy and they all have important, impactful things to say. We know that you’ll get a lot out of them.

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 that will really maximise what you gain.

  • 08:00 – 08:50

    Registration

  • 08:50 – 09:00

    Chairperson Overview

  • 09:00 – 09:30

    Lack of data is one of the major problems faced by inclusive finance. Nowadays, people spend so much time online and on mobile. The 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.

  • 09:30 – 10:00

    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 how technologies for mobile can be powered by AI and bring the user experience to the next edge.

  • 10:00 – 10:30

    Peter Clark is the Regional Chief Information Officer (CIO) of Standard Chartered Greater China & North Asia. As the person who steers the technology wheel, he sees a lot of innovation coming up in the banking industry as technologies evolve. He sees at least three things that will significantly impact banks in a big way: artificial intelligence (AI), DLT and biometrics.

  • 10:30 – 11:00

    AM Coffee Break

  • 11:00 – 11:30

    Korey Lee, South China Morning Post's (SCMP) Director of Data Analytics will give us exclusive insights into the company’s strategy to harness data-driven decision & automation. Topics he would cover include:

    1. Data analysis, insights & automated recommendations
    2. Centralised data warehouse & ETL processes
    3. Put in place a “Growth Team”
  • 11:30 – 12:00

    Christopher has over 20 years of loyalty and marketing experience. In this presentation he will share with the audience how to boost the power of a truly successful reward system by using advanced data technologies such as predictive analysis.

  • 12:00 – 12:30

    Deep Ice-breaking - Get Ready for the ML Challenges

  • 12:30 – 14:00

    Lunch

  • 12:30 – 14:00

    Lunch

  • 14:00 – 14:30

    AIST is one of the largest public research institutes in Japan and functions as an “Open Innovation Hub”, Joni is the research scientist of AIST Robot Innovation Centre. He will introduce their studies on the cross-model and develop the cognitive abilities of the robots.

  • 14:30 – 15:00

    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 storm, engineers need to complete preventive measures on power distribution system in extremely tight timeline. For enhancing the effectiveness of preventive measures, it is necessary to predict tropical storm impact on power distribution system as accurately as possible. Therefore, our team use Data Science to predict the impact on overhead cable from the coming tropical storm

  • 15:00 – 15:30

    PM Coffee Break

  • 15:30 – 16:00

    Zwoop aims at assisting e-commerce customers to find the best ideals of the products, and to automate the whole registration and checkout process.

    This requires a system that can identify and compare products from any e-commerce websites, 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 also will discuss how AI in general can help to automate many other processes in daily life.

  • 16:00 – 17:00

    Panel Discussion: Future Trends in Machine Learning

  • 17:00 – 19:00

    Networking Drinks

  • 08:00 – 08:50

    Registration

  • 08:50 – 09:00

    Chairperson Overview

  • 09:00 – 09:40

    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.

  • 09:40 – 10:30

    Recommender systems are considered to be one of the classic Machine Learning and Big Data applications. They are tremendously useful in introducing products or information to users in a personalized manner as well as in enhancing user satisfaction and loyalty. At LinkedIn, we have incorporated recommender systems in building high-value and highly engaged data products since the early days, for example, the People You Might Know (PYMK) data product. Since then, almost every single LinkedIn product line has a recommender system in its product folio. Examples of well known data products at LinkedIn that employ recommendation techniques include job recommendation, people to follow, company to follow, courses to take, and many more. This talk will share high level glimpses into these recommender systems, the techniques that were used, and the challenges in building, deploying and operating them at scale.

  • 10:30 – 11:00

    AM Coffee Break

  • 11:00 – 11:30

    This talk describes concept of Digital Twin with respect to the Railway Network. Railroad customers across the world manage thousands of miles of Track infrastructure that consists of the Rails, Ballast, Ties, Bridges, Tunnels, Wayside equipment, etc. Different types of sensing Technologies like Optical, Ultrasound, Radar, Thermal imagery is used to monitor health of these individual Railroad Assets. Typically, each of these solutions measures the health of individual Assets separately and provides a narrow view of Track infrastructure.

    This talk demonstrates a new approach to Track infrastructure monitoring that GE is piloting for customers using the concept of Digital Twin for network. Using an offline GPU infrastructure – Deep Learning models are created and trained on large volumes of video data to learn the state of healthy Track and predict anomalies. These models currently work on optical imagery captured from Locomotive-mounted cameras – in future, plans are in place to extend this to newer sensing solutions. The talk will introduce the concept of Track Health Index (THI) that is calculated by these advanced Deep Learning models. THI values for different Railway Assets are calculated on the fly and a risk roll-up is conducted to give a THI value for the whole network route. Railroad customers can focus their Track inspection efforts on routes with lower THI and drill down to get the exact location where certain Track defects occur. Using Deep Learning models running on servers or eventually in Predix Cloud – large volumes of Locomotive video data is analyzed to dynamically provide THI values on a Geographic map. This GIS report is used by railroads for Track Maintenance planning.

    During the talk, real customer use-case videos will be shown that demonstrate Analytics on videos from Locomotive-mounted cameras with Deep Learning models to calculate THI and display on a map for driving Maintenance decisions.

  • 11:30 – 12:00

    This presentation will discuss how Amex has adopted Big Data and it core processes in risk, fraud, marketing analytics and operations. This has been done under the over arching framework of keeping customer data privacy issues at the centre. At the same time evolving to a nimble agile framework that has allowed us to adopt the same across the Enterprise. It entailed lot of moving pieces, like training of employees, having the right infrastructure to ensure that we can apply the BD and AI techniques at scale and pass on the benefits to our customers.

  • 12:00 – 12:30

    Mina is the current Chair of the IEEE-USA Artificial Intelligence and Autonomous Systems Policy Committee, the current Vice Chair of the IEEE-USA Research and Development Policy Committee and the Chair of the IEEE Central Texas Section Government Relations, Policy and Regulations Committee. In this presentation he will be sharing the insights of designing public policy for Artificial Intelligence, which will include key challenges and ethical considerations.

  • 14:00 – 14:30

    How to lead the Data Science, Data Management and Governance functions to serve and create the best customer experience?

    You will find the answers in this presentation with Ashok who is the Chief Data Officer and Head of Customer Experience at AXA Hong Kong.

  • 14:30 – 15:00

    How GoGo Van build data services that enable improvement of core aspects of our business.

  • 15:00 – 15:30

    Altaf has worked more than a decade across multiple industries with global teams delivering enterprise products and customer-centric services. In this presentation, Altaf will use his analytical skillset and many years of technical experience involving AI and Big Data to provide the key factors of AI for IT leaders.

  • 15:30 – 16:00

    Afternoon Coffee Break

  • 16:00 – 16:30

    Initial Coin Offering (ICO) is rapidly attracting attention as a new way to raise funds. However, to implement safe and legally-compliant ICOs in today’s environment, there are hurdles and barriers, such as lack of legal guidelines and frameworks. AnyPay is trying to develop an technology that allows structuring and executing ICO projects successfully. As the Chief Data Officer, Kamita will reveal the machine learning and blockchain technologies behind this.

  • 16:30 – 17:00

    We co-develop the Summit Agenda with the leading data scientists, and AI and Machine Learning Leaders so you can expect more highlights and featured presentations to be revealed to maximise your gain.

  • 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 view of Victoria Harbour. The luxuriously appointed guest rooms and suites, the excellent meeting and event facilities in a comfortable setting as well as a host of world-class restaurants make it the perfect choice 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 fill up The Reservation Form and send to Reservations@icgrandstanford.com and copy in Alvin So: Alvin.so@icgrandstanford.com

Book your stay

Sponsors and Media Partners

We’re always looking for go-ahead, fascinating sponsors to align with our global leadership Summits which are packed full of senior connectivity potential. Our delegates are very select so we limit the number of sponsors for each of our Summits but if your values connect with ours, please reach out to Allan . We’d love to welcome you to our tribe!

Gold Sponsor

Silver Sponsor

Media Partner

News Release Distribution Partner

Become a sponsor

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Tickets and Price

This is your opportunity to be part of Hong Kong's foremost Big Data & Machine Learning Leaders Summit – to connect with global thought leaders, to learn new strategies that’ll gain big results and to maintain your data leadership professionalism.

Tickets are limited. 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.