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The 2019 AI & Big Data Leaders Summit – Asia's leading event where data science meets real-life business cases – brought together over 150 data scientists, analysts, engineers, AI researchers and business executives from a wide range of industries to learn, network and experience the full potential of Artificial Intelligence and Big Data.

Key topics discussed included:

  • Hong Kong’s vision for AI

  • Fintech & Blockchain

  • Data science in the real business world

  • AI in supply chain, logistics, e-commerce

  • Thought leadership & data management

  • Smart cities & IoT

  • Data innovation & start-ups

See the full speaker line-up

Agenda

The agenda was developed based on in-depth market research taken directly from senior experts in the industry, to ensure the sessions are of the upmost relevance. The agenda featured keynotes, panel discussions and networking lunches and drinks designed to maximise delegates' experiences.

08:00 – 08:50

Registration & breakfast

08:50 – 09:00

Opening remarks

Hong Kong’s vision for AI

09:00 – 09:30

Session Description: Established 20 years ago to help HK's transfer from financial/trade center to the regional ICT (Information and Communications Technology) center, Hong Kong Applied Science and Technology Research Institute (ASTRI) has re-invented itself in the recent years to lead the new innovative Great Bay Area with frontier applied technologies in AI, big data, IoT, FinTech, blockchain, 5G, smart city, and intelligent applications targeting smart business, smart government, smart city and smart citizens. We will introduce the latest innovative technology and application development for HK in these areas.

Hong Kong’s vision for AI

09:30 – 10:00

The increasing popularity and effectiveness of AI and big data technologies have a significant social and political impact. In effect, machine learning has drastically enlarged the set of problems that computers are able to tackle, allowing computation to permeate in every aspect of contemporary life. This inclusion carries with it a new set of social issues. Transparency, bias, privacy, ownership, and agency, are some aspects that became socially and politically contested spaces.

This talk will start with a brief historical overview of these and related issues, to then discuss in-depth some contemporary emblematic problems, as well as presenting possible solutions. We will also explore existing and potential methodologies aiming to integrate ethical concerns into AI research and development.

Machine Learning & Artificial Intelligence

10:00 – 10:30

Jasmeet will talk about the irony of AI transforming retail customer experience from being one-size-fit-all and robotic to more personalized and human-like through Conversational interfaces.

10:30 – 11:00

AM networking coffee break

Big Data & Data Science

11:00 – 11:30

Protecting privacy in an AI & big data world

Big Data & Data Science

11:30 – 12:00

Data analytics and AI use cases The delicate balance organisations must straddle to between data compliance and commercialisation How to navigate the rapidly changing/evolving data and AI regulatory landscape

Data science in real business world

12:00 – 13:00

• 3 fundamental facts about a good data team are good quality data, talents and data culture in the organisation, Challenges for companies nowadays to look into hiring experts especially for smaller firms less able to compete on salary and benefits. • Focus on nurturing your existing talents, developing certain skills, thinking outside of the box, tapping into external services • Harness the power of the crowd, closing the data talents gap and gender inequality gap

13:00 – 14:00

Networking lunch break

14:00 – 14:10

Opening by chair

14:00 – 14:10

Opening remarks by chair

Data science in real business world

14:10 – 14:40

• Modern data management strategies and compliance • Scale up the data privacy, protection and data management • Information privacy and protection

Fintech & blockchain

14:10 – 14:40

• Fintech ecosystem and why Hong Kong is the Fintech centre of Asia • Blockchain as a service, moving from crypto to digital assets • Convergence between blockchain and IoT

Fintech & blockchain

14:40 – 15:10

• The growth impact of AI in the finance industry • AI and machine learning use case in Fintech space • Deploy neuro network in Fintech

Cyber security deep-dive session

14:40 – 15:10

• Cyber-attacks are becoming increasingly sophisticated, we need to look at people, processes and technology • Preventing lose business assets, reputation and possibly fines, stay ahead of cyber threats.

15:10 – 15:40

PM networking coffee break

AI in supply chain logistics

15:30 – 16:00

• Supply chain transforming the traditional logistic company • Enabling traditional retail and create more options for customers and increase selling opportunity • Using AI as a tool to implement automation and digitalisation processes to take the lead in the first & the last mile of urban operations

Fintech & blockchain

15:30 – 16:00

FinTech has drastically transformed existing business models by various disruptive technologies. The speaker will examine how to adopt FinTech to improve customer satisfaction across service touchpoints, to synergise customer experience with practical process transformation. Through better customer experience and satisfaction, organisations can outperform against its competitors.

Fintech & blockchain

16:00 – 17:00

• Fintech innovation • Fintech mobile applications • Fintech beyond bitcoin • AI disruption in the finance industry • Advanced credit models in Fintech • Payment • Customer data privacy

AI in supply chain logistics

16:00 – 17:00

• The key capabilities of AI, IoT and blockchain that enable supply chain intelligence, collaboration and connectivity. • The importance of laying a digital supply chain foundation, prior to integrating AI, IoT and blockchain into business operations and processes. • Revolutionizing global supply chain management and logistic

17:00 – 17:10

Closing remarks by chair

17:00 – 17:10

Closing remark by chair

17:10 – 18:40

Networking Drinks

08:30 – 09:20

Registration & breakfast

09:20 – 09:30

Opening remarks

Thought leadership & data management

09:30 – 10:00

  • Agile organization by purpose
  • Crossroads of the old and new
  • Leverage leading technology to leap-frog
  • Roll up the sleeves and deal with the fundamentals

Thought leadership & data management

10:00 – 10:30

Transformation and data management – Remembering there are people involved

10:30 – 11:00

Day 2 Morning Coffee Break

Start-ups incubator session

11:00 – 11:10

We are now on the cusp of a technological revolution. Big Data technologies instilled an informational perspective to our understanding of the world. With the advent of molecular techniques and informatics capabilities, exabytes of biological data were generated. The colossal volume of biological data contains a treasure trove of insights, which are yet to be fully deciphered for diagnostic use.

In this talk, we will discuss the latest trends in applying Big Data technologies to several key areas of molecular diagnostics. Recent advances in Big Data technology allow us to interrogate a larger breadth and depth of clinical evidences, and in turn, improve the accuracy and speed of diagnosis. While Big Data has a great impact on the development of molecular diagnostic tests, it comes with potential perils. Fundamental issues such as the management and storage of data can create privacy concerns. Heterogeneous types of data pose challenges in reproducibility and standardization. Professionals may struggle to keep up and thus fail to seize the full benefits of the technology. It is now an opportunity for us to help healthcare professionals, educators, and policy-makers understand the impact of Big Data, and steer the development roadmap to positively impact the molecular diagnostic industry.

Start-ups incubator session

11:10 – 11:20

At this session, Miles will point out how does a local start-up developed its own technologies to compete with the established companies in the AI market, with a team focusing on AI technologies including Automatic Speech Recognition (ASR) and Natural Language Processing (NLP). We would introduce the growing path of Fano Labs and how we work on AI solutions to solve the pain points of fintech, enterprises, government, and other public sectors as well. Also, how AI technology can play a role in the banking and finance area, by addressing customer services, compliance and other lines of businesses’ pain points.

Big Data & Data Science

11:20 – 11:50

Using the power of data analytics to unlock useful insights into your customer base can revolutionize your business. This is the reason behind of why many business leaders agree that understanding the power of data and insights is increasingly important in today’s fast-paced, competitive digital landscape. Just collecting and processing data is half the story, but knowing how to use a holistic data-centric marketing approach to reach your “mobile-first” target audience with the scale, transparency and efficiency of our proprietary data management platform is key to our success in serving more than 1,500 renowned brands over the years across the Asia Pacific.

In this session, Vpon will also demonstrate its successful collaboration with Citibank TW on the adoption of using a data-driven approach in reaching its customers while developing its own data bond segment to gain actionable insights for devising long-term marketing strategies.

Big Data & Data Science

11:50 – 12:20

With over 54 million data workers worldwide, the era of digital transformation has already begun. But unlocking success in your company’s digital initiatives requires an understanding of why and how today’s processes are antiquated. During this session, the speaker will share insights on IDC’s latest survey, State of Data Science and Analytics and how organizations should enable their team to build an analytics culture.

12:20 – 13:00

• How has the tech industry changed in the past 3 years for female leaders? • What is the biggest challenge for female leaders in tech? • How do women in the technology industry get the right support? • Advice for young females who are looking to grow a career in tech • Is there anything we are leaving out here that needs to be addressed?

13:00 – 14:00

Networking lunch break

Machine Learning & Artificial Intelligence

14:00 – 14:30

Journey from the initialisation the idea of chatbot till our current status. Guide how to prepare CBA and where to put Chatbot in strategy. Showing real examples, sharing what surprised us after deployment and explain current data utilization and other outputs.

Machine Learning & Artificial Intelligence

14:30 – 15:00

  • What are the challenges linked to using machine learning techniques to design a systematic investment strategy linked to commodity futures?

  • What data is relevant and of practical use to attempt to forecast the behavior of a forward curve?

  • Can sequence models (RNNs, LSTMs) apply to the noisy data of commodity markets?

  • How complex can the overall model be for optimal performance and interpretability?

Machine Learning & Artificial Intelligence

15:00 – 15:30

AI in Smart City

15:30 – 15:40

Closing remarks by chair

15:40 – 16:10

PM networking coffee break

Don't just take our word for it

  • One of the best things about this conference is that I am able to meet a lot of people who actually share the same challenges as I have. If you’re sitting in the office, you think about your own problem in your own box. By coming out here, you find solutions by talking to other people who are going through the same journey as you do.

    Doran Bae, TVB, Hong Kong

  • The best conference I have attended this year. You have kept it the right size, had the right list of experts and most importantly the discussions were mostly enriching and to the point.

    VP, Global Commercial and Merchant Data Science, American Express, Hong Kong

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The Venue

Hyatt Regency Hong Kong, Tsim Sha Tsui offers contemporary event and meeting venue in the heart of the city with a direct connection to two MTR stations. The pillar-less ballroom and meeting venues are suitable for business meetings and social gatherings, while the experienced culinary team and event experts are to provide effective hotel catering options as well as event planning and state of the art audiovisual supports, to ensure the perfect balance of business and comfort.

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Tickets and Price

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