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AI & Big Data Leaders Summit is Asia's leading event where data science meets real-life business cases. This summit will bring together 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 to be discussed:

  • 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 is developed based on in-depth market research taken directly from senior experts in the industry, to ensure the sessions are relevant to your interests. There are multiple thematic tracks, panel discussions, deep-dive sessions, networking lunches and drinks designed to maximise your experience.

  • 09:10 – 09:15

    Opening remarks

  • Hong Kong’s vision for AI

    09:15 – 09:45

    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

    09:45 – 10:15

    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.

  • Social session

    10:15 – 10:30

    • We welcome all delegates in the room to join the real-time voting session • What are you expecting to learn? • What advice would you give to AI newly adopters?

  • 10:30 – 11:00

    AM networking coffee break

  • Data science in real business world

    11:00 – 11:30

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

    Cyber security deep-dive session

    11:00 – 11:30

    • 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.

  • Data science in real business world

    11:30 – 12:00

    • Building strong data governance is the foundation of a data organization • Prevent a data swamp, unleash the power of data lake management

  • Mindfulness session

    12:00 – 12:10

    Mindfulness Relaxation session

  • Data science in real business world

    12:10 – 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

  • Fintech & blockchain

    14:00 – 14:30

    • 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

    AI in supply chain logistics

    14:00 – 14:30

    • Building machine learning algorithmic forecast model with the amount of data input • Customer demand planning enables more accuracy forecasts

  • Fintech & blockchain

    14:30 – 15:00

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

    AI in supply chain logistics

    14:30 – 15:00

    • AI is picking up momentum in supply chain management and logistics • Smart algorithms offer valuable information and boost business performance and approximate future deliveries • Providing insights to enhance productivity and customer experience

  • 15:00 – 15:30

    PM networking coffee break

  • 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.

    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

    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 – 19:00

    Networking Drinks

  • 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 – 10:40

    Transformation and data management – Remembering there are people involved

  • 10:40 – 11:10

    Day 2 Morning Coffee Break

  • Start-ups incubator session

    11:10 – 11:25

    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

    11:25 – 11:40

    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.

  • Start-ups incubator session

    11:40 – 11:55

    AI leading start-up case 3

  • Mindfulness session

    11:55 – 12:10

    Mindfulness Relaxation session

  • 12:10 – 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

  • AI in e-commerce & data monetisation

    14:00 – 14:30

    • Data and AI monetization means new revenue streams, better customer services, business operation efficiency • Cognitive analytics engaging with consumers • Robotics application in the new retailing era

    Smart cities and IoT

    14:00 – 14:30

    Using AI, big data and cloud computing (ABC) technologies, the next-generation power system of cities can be established. The frameworks of smart power systems towards smart cities are employing some state-of-the-art technologies, thoughts, and methodologies, such as the Power Purchase Agreement (PPA), the ubiquitous Power Internet of Things (UPIOT), predictive maintenance, the forecasting for power generation and consumption, power trading and markets. The pervasiveness and effectiveness of ABC technologies in the power system evolution are demonstrating increasingly the reality towards both the eco-friendly and cost-effective power system in cities, and the process implies tremendous business opportunities.

  • AI in e-commerce & data monetisation

    14:30 – 15:00

    • Mobile e-commerce is growing faster than e-commerce in general • Machine learning provides accurate search results and better customer experience • AR / VR will generate a huge amount of revenue, • AI and product recommendation results

    Smart cities and IoT

    14:30 – 15:30

    • Smart cities heavily rely on technology solutions such as AI and IoT • Using AI and IoT to create smarter and more efficient cities, with quality data we are all connected. • Real-time public safety, machine learning algorithms to foresee possibilities of a device failure will enable remote predictive maintenance to be a reality within a smart city context from street furniture to intelligent building management.

  • AI in e-commerce & data monetisation

    15:00 – 15:30

    • Discuss how the explosion of sourcing and manufacturing possibilities have given companies the chance to become more agile, more flexible and more efficient in how they work and manage costs • Business critical AI applications in manufacturing, supply chain, logistics and customer service

  • 15:30 – 16:00

    PM networking coffee break

  • AI in e-commerce & data monetisation

    16:00 – 16:30

    • Optimising core business by monetising your business data
    • Enable analytics products and generate revenue from data sets • Leveraging data to improve a company’s operations, productivity, and product services • Enable ongoing, personalised dialogs with customers

    Smart cities and IoT

    16:00 – 16:30

    • Collecting plenty of data and making sense of data between machine to machine • The next-gen urban development by the deploy surveillance camera

  • AI in e-commerce & data monetisation

    16:30 – 17:00

    • Understand your datasets, • Mapping out your customer’s requirement with refined data • Developing capability, building in-app advertising and in-app purchasing • Monetization can be applied to multiple industries

    Smart cities and IoT

    16:30 – 17:00

    • The digital road map for SMEs

    • Real business practice

    • Maximize operational efficiency across assets

    • AI algorithm improves quality and reduces rework

  • 17:00 – 17:10

    Closing remarks

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.

The Forward Leading guests will have a special rate of HKD 1280 / night to enjoy luxury accommodation with modern amenities which can be found nowhere else. Book your stay using the link below to enjoy the special group discount.

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Tickets and Price

Join 150 like-minded peers at the AI & Big Data Leaders Summit in Hong Kong, hear from more than 30 industry experts and bring immediate actionable insights to your business.

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