How Machine Learning is helping customers during Covid-19
How is Machine Learning helping ANZ proactively help it's customers and lessons have been learnt through the process?
Tuesday 25 May
11:30am - 12:30pm
23 Albert Street, Auckland Central, Auckland, New Zealand
What's it all about?
What's the best approach to using machine learning to identify customer needs and reach out to help them?
The ANZ Assist programme aims to proactively support ANZ’s customers who have been impacted through COVID 19. Join Astrud Burgess, GM Data and Marketing ANZ NZ, and Pip Wilkinson, Head of Business Customer & Data Strategy, as they talk through what ANZ's learnt about working with machine learning and Astrud's key tips for getting the most out of the technology and data available.
Tea/Coffee & Cookies provided
Speakers
With 20 years in marketing & data roles in NZ and UK across banks, finance companies & advertising agencies, Astrud deeply understands the financial services industry. An executive sponsor of the GLBTQI+ network & a keen advocate for women in leadership, she's a keen cook, avid reader & “enjoys” running & Pilates! Astrud has a Masters of Commerce from the University of Otago.
A senior marketer with 20+ years in leading marketing strategy & delivery in Financial Services, Business Information and Oil & Gas sectors in both NZ and UK, Pip has a particular passion and strength in data driven marketing and utilising data and insights to develop effective customer communication programmes. When she’s not wearing her marketing hat, Pip can be found as a taxi driver for her 3 teenage children around the sporting grounds of Wellington.
Laura O'Brien
A Data Scientist with a passion for driving change through the use of innovative data transformation and machine learning. Laura started at ANZ 2.5 years ago as a graduate from Victoria University of Wellington. She enjoys solving problems by communicating with stakeholders to create a customer centric solution. In her spare time Laura enjoys mountain biking, surfing and free diving.