EVENT OVERVIEW

Big Data and Analytics are no longer new trends.  But there is a continuous need for enterprises to increase their efficiency and agility in handling the geometrical increase in data generation from varied sources and in shaping their IT architecture to handle the demanding analytics.

ComputerWorld Hong Kong’s 7th Big Data and Business Analytics Forum helps delegates to sharpen their perspectives on understanding these data sources, developing agile IT data architecture and governance policies and integrate with growing start-up ecosystems.

What's New in 2017

  • Updated Trends on Data Governance, Predictive Analytics, Data Preparation Strategies, Marketing Science and AI
  • 5 Best Practice Case studies from Lifestyle & Property, Insurance, Finance, Hospitality & Government sectors
  • Big Data Start-up Panel Discussion on Disrupting the Big Data

Attend the 7th Big Data and Business Analytics to:

  • review how organisations capitalise on big data and translate into useful insights & productivity across multiple sectors
  • learn how start-ups tap on big data and analytics technologies 
  • gain insights on designing sustainable and comprehensive data management and governance strategies
  • evaluate the latest technologies from Artificial Intelligence, predictive analytics and machine learning

Networking at the 7thBig Data & Business Analytics

Big Data & Business Analytics 2017 offers delegates opportunities to learn from key experts, analysts, practitioners, data scientists and creative thinkers in big data. They can network and build partnerships with peers and experts, while learning new data-driven ideas, best practices and strategies that are shaping industries.

  • Exclusive opportunities to meet qualified senior level executives
  • Executive Exchange where top leaders share thoughts on topics
  • Executive luncheon networking
  • Showcase leading solutions and services by industry leaders

Who You Will Meet?

To ensure the conference offers the highest degree of relevancy, only C-Level, Senior Executives and IT professionals from corporate, public and government agencies will be invited to attend. This exclusive format allows delegates to connect with those peers whose insights they respect the most – through exceptional networking, business meetings and strategic information-sharing sessions.

Computerworld Hong KongQuestex Media
Testimonials
  • Great! The Speakers are very open to share their experience that helps us to understand where we are along the track to Big Data & Business Analysis.

    Hong Kong Air Cargo Terminals Limited
  • Well done! Keep this Forum every year!

    FWD Life Insurance Company (Bermuda) Limited
AGENDA
08:30 - 09:00
Registration and Welcome Coffee
09:00 - 09:05
Conference Chair’s Opening Remarks
09:05 - 09:10
Ice Breaking Session

                                                              

DEMYSTIFYING BIG DATA AND SMART ANALYTICS
09:10 - 09:40
Panel Discussion: Designing a Sustainable Data Governance Management Framework: Compliance is the Key

As data ecosystem multiplies in size through booming connected devices, it becomes increasingly difficult for organisations to retain control of their data assets. To reduce the impending chaos, a comprehensive and sustainable data governance framework needs to be implemented to safeguard the integrity, security and quality of data.

  • Highlighting the significance of unified data governance policies  
  • Safeguarding ethics, security, integrity and accuracy in a data governance framework
  • Managing the overlapping data flow systems from external and internal sources
  • Future trends: How will AI influence your organisation’s data governance management framework?
Moderator:
Sheila Lam
Editor-in-Chief,
Computerworld Hong Kong,
Panelists:
Ritesh Sarda
Chief Information Officer,
Sun Life Financial,
Damian Lum
Enterprise Architect - Strategy & Governance,
Hong Kong Jockey Club,
Ramkumar Venkatachalam
Global Head of Data Strategy & Governance,
QBE Insurance,
Stephen Langley
Deputy Chief Information Officer,
Securities & Futures Commission,
09:40 - 10:00
Keynote 1: From Being Reactive to Predictive : How Machine Learning & Artificial Intelligence is used on Fast Big Data

In a world increasingly connected with the advent of Internet and IoT, fast streaming big data is constantly been generated. Organisations need to learn how to mine this data effectively and quickly if they want to become predictive and not just react. Streaming analytics that go beyond simple aggregation is hence essential for organisations. Learn how machine learning and artificial intelligence can help organisations achieve goals of generating actionable insights and business revenues.

  • What does it take  to create an operational analytic system with fast data pipeline?
  • How does artificial intelligence and machine learning help organisations become predictive?
  • What are some of the best practices and case studies?
  • What are the challenges and trends ahead for organisations?
Dr. Shiming (Simon) Zhang
Principal Data Scientist,
Big Data Lab, Baidu Research (China and Silicon Valley),
10:00 - 10:30
Keynote 2: Ideal Data Preparation Strategies: How Organisations Can Accelerate the Process of Data Collection and Cleansing for Smart Analytics

The complexity of data ecosystem grows data now being available in different formats. It becomes crucial for organisations to be able to efficiently aggregate, cleanse, shape and enrich their data for meaningful analysis. What infrastructural changes will accelerate and prepare organisations for an effective use of data in making commercially smart decisions?

10:30 - 10:45
Networking Break
BIG DATA & ANALYTICS IN INDUSTRIES: TECHNOLOGY CASE STUDIES
10:45 - 11:10
Case Study 1: Exploring the Impact of Big Data and Analytics in Government Services

E-government initiatives around the world are not new. How has data science been used successfully to integrate systems within various service delivery departments to improve their operational and delivery efficiency? What are some new technologies and tools that governments employ?

  • Overview of data initiatives within HK government sector
  • Reviewing of how big data and analytics have helped increased sector productivity and efficiencies
  • Exploring new developments and applications in integrating government services through an integrated data platform
  • User-friendly and better UX initiatives
Ir Yeung, Peter Tin Chung
Head of ICT, Smart City & Green Tech,
Hong Kong Science & Technology Parks Corporation,
11:10 - 11:40
Case Study 2: Influencing New Solution Development in Insurance Industry: Aiding Digital Transformation

To compete more effectively and to get ahead of the game, insurers are increasingly adopting online and mobile channels. This provides access to sources of big data. As more processes get automated with the rise of Artificial Intelligence and IoT, insurers are tapping into these insights and are creating value. Gain a strategic and tactical view on how such innovations are taking place.

  • Gain a strategic and tactical view on big data innovations in insurance delivery and consumption
  • Usage Based Insurance and analytics: the new watchword in insurance
  • Case studies in analytics-led new solution development
  • Best practices in developing IoT-data analytics
Anoop Nambiar
Chief Data Officer,
HSBC Insurance,
Ritesh Sarda
Chief Information Officer,
Sun Life Financial,
11:40 - 12:10
Keynote 3: How to Efficiently Migrate from Legacy Data Infrastructure?

Many organisations have stand-alone legacy systems that pose tremendous challenges when one tries to extract meaningful data and combine with the rest of data. Data silos often mean organisations are not equipping adequately by seeing the full picture while making crucial decisions. How can organisations effectively manage pockets of data in silos and integrate them in a centralised system while adhering to regulatory requirements? What are the tools available for organisations to do so without causing any disruption to their day-to-day operations?

12:10 - 13:35
Networking Lunch
13:35 - 14:00
Case Study 3: Utilising Big Data to Enhance Customer Experience

With business interests ranging from lifestyle, F & B to property, Lan Kwai Fong Group has access to different sources of data in different formats.  Case study presents how a simple and practical approach to big data and analytics has helped Lan Kwai Fong Group gain valuable insights that are instrumental in better decision making processes and to help enhancing customer's experience.

  • Reviewing the different sources of big data available across one group’s diversified business sectors 
  • How one can embark on a big data journey with cost effective yet practical tools
  • Learning how big data has helped operations and management make better decisions
  • How insights from big data are translated to deliver an enhanced customer's experience  
Keith Tsui
Data & Analytics Director,
Lan Kwai Fong Group,
14:00 - 14:25
Case Study 4: Improved Data Analytics for Effective Financial Crime Compliance

Financial institutions employ powerful data analytical tools for averting costly financial crimes as well as compliance costs. What are the data analytical tools that various stakeholders use for their Financial Crime Compliance (FCC) initiatives and how utilities facilitate FCC processes?

  • Mitigating risks by effective fraud prevention: the role of big data and improved analytics
  • Hurdles and how to overcome them in order to build group-wide solutions
  • Leveraging community data and utilities to foster
  • Upcoming trends in financial data analysis
Geertjan van Bochove
Head of Analytics, Asia Pacific,
SWIFT,
14:25 - 14:50
Case Study 5: Power up the Hospitality Game with Big Data Analytics Innovations

The hospitality business is no stranger to digital platforms having been one of the early adopters of digital platforms for room bookings. There is a wealth of big data assets available which need to be analysed intelligently in order to create value.  How can hotels and resorts use such smart analytics to predictively forecast demand and increase revenue? What are the innovations available and challenges in managing such big data? How does this help hotels & resorts to help further engage with customers and improve the customer experience? 

  • Big data innovations in the hospitality industry
  • Using smart analytics to create new revenue models and to improve customer experience
  • Overcoming challenges in managing big data
  • Case studies  from the hospitality industry
Widhadh Waheed
Director of eBusiness,
Shangri-La International Hotel Management,
14:50 - 15:20
Keynote 4: Riding the Wave of Self-Service Analytics

Organisations that are data-centric and integrate data effectively from multiple streams will be welcoming the edge self-analytics tools provide them. What are some options available and how can these help organisations get up to speed with market demand? 

15:20 - 15:35
Networking Break
ROAD AHEAD FOR NEW TECHNOLOGY INTEGRATION
15:35 - 16:05
Keynote 5: Getting Ahead with New Innovations: How Companies can Use Marketing Science to Create Success

Facebook's success in predicting its users' behaviour stem from its use of advance techniques. How can organisations replicate such success in predicting its customer's behaviour? What are the lessons learnt? What does the future hold 5 years down the road?

  • Getting behind the science of marketing : Advances and techniques
  • How organisations can replicate success?
  • Best practices and Lessons learnt 
  • Innovations in the next 5 years 
16:05 - 16:25
Start-Up Panel Discussion: Big Data Start-ups: Disrupting Businesses with Innovation

Start-ups are revolutionising industries with their brand of disruptive innovation. How is the big data start-up universe progressing? What new APIs are being developed? Who are the stakeholders in nurturing this universe? Do they face challenges in harnessing big data to analyse and develop the solutions? Are situations different within different industry verticals?

  • Overview of innovative start-ups that have successfully harnessed big data and analytics
  • A look at the challenges faced by big data start-ups in acquiring data sets      
  • Reviewing the collaborative and sharing opportunities for start-ups and enterprises
  • Exploring the power of data science for start-ups
Moderator:
DR. TOA CHARM
Chief Public Mission Officer,
Cyberport Hong Kong,
Panelists:
Bay McLaughlin
COO & Co-Founder,
Brinc,
Ken Yeung
Co-Founder & CEO,
Clare AI,
Tommaso Tamburnotti
Co-Founder,
Easyship,
Dr. Noah Silverman
Founder,
Helios AI,
Gerado Salandra
CEO,
Rocketbots,
16:25 - 16:45
Keynote 5: Could Artificial Intelligence and Machine Learning be the Next Holy Grail for Businesses?

Artificial Intelligence and machine learning are trends that will be generating more industrial data. More business processes will be automated with the advent of techniques such as voice recognition. What is the next frontier of data-generative innovation and how will these impact the big data and analytical industry?   

  • The development of machine data and analysis: the scope for centralised production
  • Faster-to-market: Enabled by big data analytics
  • Customised production and big data analytics
  • Closer-to-consumption: the role of smart data analytics in the manufacturing world
Dr. Noah Silverman
Founder,
Helios AI,
16:45 - 16:50
Ending Remarks & End of Conference
SPEAKERS
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VENUE

Address
The Mira Hong Kong