AWS Webinar | On-Demand

Building a Data-Driven Business: Featuring NAB and Fonterra

Amazon has a long heritage in data and machine learning. Many of the innovations you’ve heard about, personalisation, drones, Alexa, are driven by data rich, machine learning models. We’ve been working for years to try make smart use of the data we have for the benefit of our customers. As leaders and builders, we now want you to have the same opportunity.

Tune into the 60-minute webinar to hear from leaders from National Australia Bank and Fonterra discuss how they use real time data insights to create rapid experiments, and operate agile team structures to improve their customer outcomes.

Speakers

Dr Tim Sparks, Head of Advanced Analytics Enablement: National Australia Bank
As part of their wider Digital Transformation strategy, NAB have built an advanced cloud based analytics platform which enables the rapid adoption of new analytics tools and techniques. This new cloud platform is helping NAB run rapid experiments across the bank and showcase the value of advanced analytics insights to business and technology teams. It is also driving the development of a ‘test and learn’ culture.

 

David Bloch, General Manager, Advanced Analytics: Fonterra
Fonterra have built a new cloud data and analytics platform which allows their data scientists to build new data experiments in less than 48 hours. This new platform has enabled a culture of experimentation and prototyping which allows Fonterra to quickly develop, test, and evaluate new models before selecting the most valuable use cases to put into production.

 

Vicky Falconer: Head of Big Data & Analytics, Amazon Web Services
Amazon has a rich heritage of leveraging data to drive extraordinary customer experiences and business outcomes. To be effective with data requires 3 elements 1) A culture that demands data driven decision making; 2) Mechanisms that enable ideation and experimentation and 3) Platforms that support experimentation and democratise access to data and tools. Vicky will talk about the Amazon data driven culture and the enabling mechanisms that Amazon leverages to move quickly from ideation to experimentation to impactful business outcomes.

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