CONFERENCE
3rd ANNUAL FINDATA 2020 FUTURE OF FINANCIAL SERVICES DATA SUMMIT
Using Data and Emerging Technology to Drive Innovation and Transformational Growth, Develop a Data Centric Culture, While Complying with Ethics and Regulation
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About The Event

Disruptive and emerging technology are changing the face of financial services at an accelerated rate. The emergence of these technologies, namely Artificial Intelligence, Machine Learning, Cloud and Analytics have evolved customer experience, upgraded business models, redesigned the way we work and redefined what it means to deliver value to customers.

As a result of this hyper digital environment, data volumes continue to grow, thus driving organisations to focus on tapping into the value of that data by way of adopting data strategies that drive innovation and transformational growth.

In order to make the most of this opportunity, companies are focused on designing talent management practices that build the right data talent, drive data-centric cultures and build data literacy across their organisations.

At the same time, all organisations who are embracing these new technologies, are being scrutinised and encouraged to do so ethically, keeping in mind the privacy and rights of an individual’s data and how it is handled, with recent and pending changes to the regulatory landscape enforcing this.

At the Financial Services Data Summit, we will explore how Financial Service Providers can:

  • Use data and emerging technology to drive innovation and transformation growth
  • Build the right data talent, driving data-centric cultures and building data literacy to capitalise on their data’s value
  • Comply with ethics and regulation to protect the rights and privacy of their customers

Featuring case studies, panel discussions and interactive roundtable discussions, you’ll have the opportunity to learn and collaborate with your peers to explore how you can use data and emerging technology to drive innovation and transformation growth, develop a data centric culture, while complying with ethics and regulation.

Using Data and Emerging Technology to Drive Innovation and Transformational Growth, Develop a Data Centric Culture, While Complying with Ethics and Regulation
3rd Annual findata 2020 Speakers
Learn speakers of the 3rd Annual findata 2020
Head, Business Solutions Group Data Centre of Excellence DBS Bank, Singapore
Director Data and Algorithmic Ethics IAG
Associate Director Group Regulatory Reporting (External) NAB
Principal Consultant, Customer Data Science & Analytics Chief Data & Transformation Office, Suncorp
former Head of Data Management and Business intelligence Latitude Financial Services
Data Scientist Chapter Lead ANZ Bank
Director, Data Management Centre of Excellence RMIT University
Head of Investment Performance & Data, QSuper Group
former Head of Data Strategy Bupa
Senior Manager Data Risk Macquarie Group
Data Architect (Enterprise) LUCRF Super
Head of Data Analytics & Technology Prosperity Advisers Group
Senior Data Scientist, Pricing and Economic Capital, Risk Management Toyota Finance Australia
Principal Cutter Associates
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3rd Annual findata 2020 Schedule
Learn schedule, program and topics of the 3rd Annual findata 2020.
  • Embracing AI and Machine Learning
  • Navigating the ethical complexities of Big Data and AI
  • The journey towards open banking
  • Building data talent, culture and literacy

Increasing numbers of people are getting worried about
data ethics. This goes way beyond privacy, fuelled by
regular, viral stories of things going wrong, or near misses.
What can we learn from these stories? And what can we
do?
In this talk, we explore how business leaders can move
beyond a general sense of unease, by using a few
well-known examples of data scandals to motivate some
concrete steps you can take in your business to help
manage this risk.

Refreshments and Networking opportunity for participants.

  • Drivers and motivators for adopting these technologies
  • Defining a data value chain and establishing a data foundation, pipeline and governance process to enable the
    efficient and effective use of these technologies
  • Identifying viable uses cases, talking to the business unit who will be sponsoring the use cases thus solving real
    business pains
  • Automating and augmenting AI processes while keeping the human touch
  • Lessons learnt and outcomes so far
  • Developing a comprehensive organisational-wide strategy for AI adoption
  • Understanding the customer and identifying where AI
    can offer the most value for customers
  • Mitigating the risks associated with AI in the financial services industry
  • Exploring practical applications of AI in Financial Services

Lunch and Networking opportunity for participants.

IN THIS INTERACTIVE SESSION, YOU WILL WORK THROUGH THE
FOLLOWING WITH YOUR TABLE OF PEERS FOR 40 MINS:

  • What are the key challenges and barriers to using data
    and emerging technology to drive innovation and transformational growth
  • What ideas, tools or strategies can you adopt to
    overcome these challenges and barriers

IN THE LAST 20 MINS, EACH TABLE WILL SHARE THEIR FINDINGS

  • Developing an effective data visualisation framework
  • Understanding what the uses of visualisation are, why
    visualisation is important, who the customers of visualisation are and how sophisticated your visualisation needs to be
  • Key considerations when defining the complexity, scope
    and shape of your visualizations
  • Exploring visualisation techniques and practical
    applications to the financial services industry

Refreshments and Networking opportunity for participants.

  • Finding and developing the right data talent
  • Getting the wider organisation on board with data
  • Implementing the right tools, integrating them with existing systems and ensuring your people can access them
  • Ensuring your organisational structure and processes
    support effective data collection, management, and sharing
  • Strategic and structural changes to shift data from
    supportive to fundamental
  • Making data a part of the business DNA
  • Democratising data – from request-driven to self-service
  • Defining a common data language to provide standards
    for reporting and clarity in communications
  • Improving data literacy to support reporting and business intelligence development
  • Adherence and understanding of regulation and compliance
  • Ensuring whole leadership involvement and support
  • Shifting the mindset towards “data as a strategic asset”
    across your organisation
  • Ensuring data governance is aligned with the business
    strategy and goals
  • Establishing the team responsible for setting the data
    governance framework
  • Change management and communication strategies for
    roll out

Closing remarks from the Chair and end of Day 1

1 Hour Networking Drinks opportunity for participants.

  • Getting leaders to prioritise and view data as a strategic
    asset
  • Influence culture and ways of working to enable employees to embrace data
  • Building data champions and advocates
  • Driving a clear and unified data vision throughout the
    organisations
  • Understanding what makes an effective story
  • How data stories differ from regular stories
  • Using empathy to connect with the human side
  • Know your audience and engage with them
  • Balancing emotion and logic to drive meaningful change

Refreshments and Networking opportunity for participants.

  • Ensuring a holistic approach: assessing the people, processes and technology that impact data quality
  • Who are the Data Owners, Stewards, Managers and Users - establishing clear and concise roles and responsibilities for data management and quality across
    your organisation
  • Establishing and effectively managing the data quality cycle
  • Effectively integrating technology throughout the data
    quality cycle
  • Amazons misogynistic AI recruitment tool and Microsoft
    racist Ai chatbot – what must organisations do to prevent
    bias?
  • The role of regulation and policy to adopt the principles
    of ethics in AI – how must industry back this?
  • How can data professionals reinforce the development
    of responsible, human-centric AI?
  • What must financial services do to mitigate bias when
    using AI for applications and approvals?

IN THIS INTERACTIVE SESSION, YOU WILL WORK THROUGH THE
FOLLOWING WITH YOUR TABLE OF PEERS FOR 40 MINS:

  • What are the key challenges and barriers to Building the
    right data talent, driving data-centric cultures and building
    data literacy to capitalise on data’s value
  • What ideas, tools or strategies can you adopt to
    overcome these challenges and barriers

IN THE LAST 20 MINS, EACH TABLE WILL SHARE THEIR FINDINGS.

This session will cover:

  • How they defined the scope of the program and the target audience
  • How they identified who are the data community, who are the frequent users of data and for what purpose do they use data e.g. analytical or transactional?
  • How they developed their strategy, and established
    committees and working groups to ensure a collaborative approach that gained buy-in
  • How they identified what tools were available to them,
    both internally and externally
  • How they developed training materials to deliver and roll
    out across the organisation

Refreshments and Networking opportunity for participants.

  • Using data and analytics to anticipate individual needs,
    create segments, and build relationships with customers
  • Unifying fragmented data to better organise information
    and create a 360-degree customer profile
  • Applying machine learning and systematic experimentation to enable flexibility and create
    customisation
  • Making your data come to life - Why static data isn't good enough anymore
  • Using analytics to help you see the headlines you
    otherwise would not have seen coming
  • The myth of getting started - It is not as hard as you think
    it is
  • Build versus Buy - Choosing the right tools based on your
    needs and resources
  • Case Study - Analysis of using superannuation data from
    APRA

Closing remarks from the Chair and close of conference

3rd Annual findata 2020 Resource
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Registation Packages
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SUPER EARLY BIRD
Pay before 15th Mar 2020
$2744.50

Save $500

DISCOUNTED RATE
Pay before 12th Apr 2020
$2854.50

Save $400

NORMAL RATE
Pay After 12th Apr 2020
$3294.50

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25
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186
Days
251
Participants
20
Sessions
1
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