#190 Part 1: The value of data science, and bringing new innovation to market, with Sarah Dods, formerly Head of Advanced Analytics at AGL episode artwork

EPISODE · May 24, 2022 · 32 MIN

#190 Part 1: The value of data science, and bringing new innovation to market, with Sarah Dods, formerly Head of Advanced Analytics at AGL

from Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science · host Felipe Flores

On this episode of the podcast, we are excited to speak to Sarah Dods, one of Australia’s top tech entrepreneurs, innovators, and company leaders. In a career that has spanned from public organisations like NICTA and CSIRO, to private companies as wide ranging as AGL, Telstra Health, RMIT University and Gerson Lehrman, Sarah has been at the forefront of bringing technology and ideas to market. As Sarah says, one of the big challenges with data science is articulating its value. Data science costs money to develop, and data science costs money to run. So, why would somebody pay money for what you’re doing? In this episode, she shares some of her proven strategies for justifying to those outside of the data science team how the investments will create and add value. The other great challenge that the data science team needs to grapple with, Sarah adds, is change management – how do you explain an application or product to people that have not used before? Stay tuned as Sarah talks about how the data science teams can turn these challenges into opportunities. Thanks to our sponsor, Talent Insights Group! We're always striving to further the conversation around the latest AI advancements and we would love to keep you involved in future conversations. Please join our Slack community to keep in touch with the wider data community. Read the full podcast episode summary here.

Episode metadata supplied by the publisher feed · Published May 24, 2022

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#190 Part 1: The value of data science, and bringing new innovation to market, with Sarah Dods, formerly Head of Advanced Analytics at AGL

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