WEBINAR

Privacy preservation for data-led innovation

The new frontier of data-led innovation requires data to be securely shared with corporate partners, fed into AI and ML tools and accessed by external data talent. However, all organisations need to be extremely cautious when customer information is involved.

Privacy must be maintained for customer protection, regulatory compliance and corporate reputation. But how can you mitigate privacy risk when sharing data? And could the controls put in place in fact become an enabler for innovation?

Watch this webinar for a best practice guide on protecting customer privacy, while enabling innovation. Get expert insight into lessons learnt from working with 100+ organisations.

Watch on-demand

Hosted by Lynn Thompson, Data Republic’s Global Lead for Alliances and Partners, the webinar will cover:

  • Typical data innovation roadmap when getting started
  • Consent, identification and re-identification risk: What to be aware of from the start
  • Real-world data projects and how privacy was protected
  • How Data Republic can support you on the journey
Data Republic Lynn Thompson
ABOUT THE SPEAKER

Lynn Thompson

Lynn is the Global Lead for Alliances and Partners for Data Republic based in Singapore. Lynn is focused on expanding the Data Republic network and ecosystem through partnerships, and works with organizations to realise opportunities in the emerging data economy. An experienced technology and innovation executive, Lynn previously worked with Deloitte Digital and Firemark’s InsurTech Hub, responsible for launching and operating the emerging technology and artificial intelligence (‘AI’) hub.

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Why Data Republic?

With the value of data climbing exponentially and data laws intensifying rapidly, the need for intelligent data tools cannot be overstated. Data Republic’s simple to use platforms offer connection to a global ecosystem of data talent, multi-use legal frameworks and safe data-matching between organizations. Revolutionize the way your data performs by joining Data Republic.

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