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

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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.”


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      Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data ScienceBy Felipe Flores
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