Michael Brand has over 25 years of cutting-edge, international industry experience in advanced analytics, machine learning, artificial intelligence, machine vision, and natural language processing, Dr. Brand’s data expertise is both uniquely wide and uniquely deep. He served as Chief Data Scientist at Telstra Corporation, as Senior Principal Data Scientist at Pivotal, as Chief Scientist at Verint Systems, as CTO Group Algorithm Leader at PrimeSense Ltd (in the machine-vision team that developed the Xbox Kinect), and as Director of the Monash Centre for Data Science in his role as Associate Professor of Data Science at Monash University. He has developed solutions at every scale from on-chip to Big Data, from real-time to high-powered computing, and made industry-defining contributions that have earned him 16 patents (more pending), garnered many prestigious industry and academic awards, and underline $100Ms/pa revenues and $100Ms in valuation for the companies he worked with.

Enjoy the show!

We speak about:

• [01:45] How Michael started in the data space
• [05:35] Capturing brand new blood pressure data
• [09:15] What you buy and eat depends on the weather
• [15:10] Working with data science in the Israeli army
• [19:40] Engineering approach vs. the scientific method approach
• [28:45] When is the deep learning madness going to end?
• [31:00] Working at Verint Systems
• [36:05] The core of what Michael currently does
• [43:20] Tools to ensure secrecy
• [47:20] Making strategic decisions with data science
• [50:00] Every company needs a data strategy
• [54:15] Where does data governance play a role in an organization?
• [63:10] The need to start talking about data rights
• [69:20] Listener questions
• [76:00] Michael has imposter syndrome

Resources:

Michael’s LinkedIn: https://www.linkedin.com/in/michael-brand-b230736/

Otzma’s LinkedIn: https://www.linkedin.com/company/otzma-analytics/about/

Otzma Analytics: https://otzmaanalytics.com

Quotes:

• “When you have data that nobody has ever looked at before, you will see stuff that nobody has ever seen before.”
• “We are in a world where we are pushed towards thinking of data science as a form of engineering.”
• “You can outsource a lot of things, but you should do your own testing.”
• “Every data you encounter is different; the value is understanding how that data is different.”

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