PHYSICAL EVENT & ALSO LIVE STREAM OPTION | Date: 23rd - 24th July (Grace Hotel Sydney)
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FINDATA 2021FINANCIAL SERVICES DATA 2021 SUMMIT
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About Findata 2021
Using Data and Emerging Technology to Drive Innovation and Transformational Growth, Developa Data Centric Culture, While Complying with Ethics and Regulation
Data Ethics

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.

Data Visualisation

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

Improving Data Quality

Ensuring a holistic approach: assessing the people, processes and technology that impact data quality , Establishing and effectively managing the data quality cycle

AI in Financial Services

The role of regulation and policy to adopt the principles of ethics in AI – how must industry back this? , Amazons misogynistic AI recruitment tool and Microsoft racist Ai chatbot – what must organisations do to prevent bias?

Using Data and Emerging Technology to Drive Innovation and Transformational Growth, Developa Data Centric Culture, While Complying with Ethics and Regulation

Findata 2021 Speakers
Learn speakers of the Findata 2021- Financial Services Data 2021 Summit.
Head of Investment Performance & Data, QSuper Group
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
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
former Head of Data Strategy Bupa
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Findata 2021 Schedule
Learn schedule, program and topics of the Findata 2021- Financial Services Data 2021 Summit..
  • 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.

  • 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

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 andtransformational 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
  • 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
  • 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
  • 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?

Speakers

  • Rein Van Rooyen, Head of Investment Performance & Data, QSuper Group
  • Keegan, Keegan O’Shea, Principal Consultant, Customer Data Science & Analytics
    Chief Data & Transformation Office, Suncorp
  • Annie South, Director, Data Management Centre of Excellence, RMIT University

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
  • 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
Findata 2021 Resource
Download a copy of the event brochure and know more about the venue.
Registation Packages
Learn about registation Prices and offers for Findata 2021- Financial Services Data 2021 Summit..
PHYSICAL CONFERENCE PRICING: SUPER EARLY BIRD
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$2194.50

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$2744.50
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$899 + GST
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$4,785 + GST

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