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Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

#97 Productionising Machine Learning Models with Terence Siganakis – CEO, Data Scientist, Software Engineer and Bioinformatician

24 Mar 2020

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Terence is a data scientist, software engineer and bioinformatician with over a 15 years of experience working on software solutions to big data related problems in industries as diverse as finance & investment banking, construction, manufacturing, healthcare and retail sectors. Terence is the CEO of Growing Data, a Melbourne based Data Science and Data Engineering consultancy, working with clients such as ANZ, CSL, Metricon and the Victorian Government. Enjoy the show! We speak about: [00:30] About Terence Siganakis [02:30] Marketing Growing Data [04:50] Working with the government [06:30] The numbers behind machine learning [10:00] Why does governance have negative connotations? [11:20] How do you minimize the work upfront? [15:55] How are you tackling big problems? [19:15] How do you stay engaged? [20:40] The way organizations interact with data [22:40] How does Growing Data work? [25:00] Data in the health industry [31:00] Working in finance, health, and construction [34:05] Driving innovation Resources: Terence’s LinkedIn: https://www.linkedin.com/in/terencesiganakis/ Growing Data: https://growingdata.com.au Quotes: “Think about the business outcome.” “Have confidence that what you are building is going to be production-ready when it reaches its targets.” “No one wants to come up with a solution and have nothing happen with it.” Thank you to our sponsors: Fyrebox - Make Your Own Quiz! RMIT Online Master of Data Science Strategy and Leadership Gain the advanced strategic, leadership and data science capabilities required to influence executive leadership teams and deliver organisation-wide solutions. We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands. Visit online.rmit.edu.au for more information And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!

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