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

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

English - March 24, 2020 07:33 - 39 minutes - 54 MB - ★★★★ - 11 ratings
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Previous Episode: #96 What Data Science and AI Can Do For Your Business

Next Episode: #98 My Value

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:

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And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!