Programme

Programme

2020 Programme

See you on April 21, 2020 in Hong Kong

08:1508:55

Registration

08:15 - 08:55

08:5509:00

Chairperson’s opening remarks

08:55 - 09:00

09:0009:30

Opening keynote address: Industry spotlight: Developing the future-proofed strategies in the age of data

09:00 - 09:30

09:3010:10

Unifying IT & Data functions for next-generation operating models

09:30 - 10:10

  • Understanding the roles and responsibilities of CDO, CIO, CISO, CTO
  • How should different functions collaborate and align with each other
  • Who is responsible for decision making in data monetisation/ governance/ analytics
  • Incubating the data-driven culture from top to down

10:1010:50

Towards efficient and effective vendor management

10:10 - 10:50

  • What are the current challenges in managing vendors and partners?
  • How to maximise the value in partnerships and undertake due diligence
  • Building a standardised process and proactive decision-making mechanism against potential risk
  • Case study: how to manage the costing and procurement of market data

10:5011:20

Morning networking break

10:50 - 11:20

11:2011:50

Stream

Data

How the modern cloud is changing the data game

11:20 - 11:50

  • A closer look at how cloud access to, store and analyse data
  • The regulatory considerations on cloud security and the implications of GDPR
  • Complying with data residency regulations in different jurisdictions
  • How to exercise your control over cloud and mitigate risks
  • Automation in the cloud: opportunities and user cases

Stream

Technology

How is AI and machine learning disrupting the financial landscape

11:20 - 11:50

  • Simplified automation: deep insights, Robotic Process Automation (RPA) and the new breed of automation tool in place  
  • How is AI driving higher IT productivity with greater flexibilities and scalabilities
  • Connecting, optimising and automating data to streamline processes

11:5012:20

Stream

Data

Unlocking the potentials for real-time data

11:50 - 12:20

  • Integrating real-time data: benefits and best use cases 
  • The transformation of data centers and how to comply with regulations
  • Leveraging data governance and analytics capabilities to enhance productivity
  • How to tackle real-time data distribution challenges
  • Real-time data 2.0: emerging tech and innovation to watch for

Stream

Technology

Revitalise legacy systems with APIs

11:50 - 12:20

  • APIs as a “digital glue” to connect legacy system with new IT capabilities
  • Improving the system architecture by API-led connectivity
  • Building up the agile API strategy that fits and simplifies
  • What are the best approaches to scale or adapt to the new IT ecosystems?

12:2012:50

Stream

Data

The transition and future state of data analytics

12:20 - 12:50

  • Moving towards automation with intelligent predictive and prescriptive capabilities 
  • Find confidence in every decision: instant analytics and smart insights 
  • Are there any flexibilities in customising analytics models?
  • Exploring the new trend on data as a service

Stream

Technology

Driving regulatory compliance to excel in operations

12:20 - 12:50

  • The current state in managing regulatory compliance: trends and challenges
  • How is regtech evolving alongside with the digitalised financial institutions
  • Compliance is transforming; how should regtech scale up on coverage and loopholes identification

12:5014:00

Networking lunch

12:50 - 14:00

14:0014:30

Stream

Data

Designing a scalable, fit-for purpose data governance program

14:00 - 14:30

  • What is data governance and what it isn’t
  • Understanding the fundamentals of a well-established model
  • The role of privacy, ethics and security in best approaches

Stream

Technology

Aligning the front, middle and back office to accelerate automation

14:00 - 14:30

  • Evolving different lines of business with automated processing
  • How to consolidate systems in the perspective of business, operations and technology
  • Making the best business case out of automation

14:3015:00

Stream

Data

Deciphering unstructured data for greater insights

14:30 - 15:00

  • How to make best use of alternative data
  • Interpreting meaningful information and neglect the “noise”
  • How to apply Natural Language Processing (NLP) and machine learning to gain reliable actionable insights
  • Demo and brainstorm

Stream

Technology

How low latency data is transforming the trading landscape

14:30 - 15:00

  • Exploring the potentials on low latency trading network
  • Speed is no longer the only differentiator. How data-driven analytics are driving right and fast trade
  • What are the benefits to enable global connectivity on trading venues
  • Automating post-trade operations

15:0015:30

Stream

Data

Evolving your workforce in the age of disruption

15:00 - 15:30

  • How to access, train and maintain talent to keep pace on technology movements
  • The data scientist of the future: what are the capabilities in need
  • Driving a culture of innovation

Stream

Technology

Meeting the security and surveillance requirements when exploring digital exchange

15:00 - 15:30

  • Understanding the risk and potentials of digital currency exchange
  • How to address the security concerns and regulatory requirements
  • Leveraging AI and data science to enhance trading platform

15:3016:00

Afternoon networking break

15:30 - 16:00

16:0016:30

Out of industry case studies: innovative data and tech applications for a non-financial institution

16:00 - 16:30

16:3017:10

How to create efficient risk and compliance framework to tackle vulnerabilities

16:30 - 17:10

  • How to improve margin and remain competitive in light of the heightened regulatory control
  • Identifying, prioritising and remediating data & tech gaps and vulnerabilities in banks
  • Designing the right models and control framework to drive business resiliency
  • The benefits of AI and analytics to improve business operational efficiency

17:1017:15

Closing remarks

17:10 - 17:15