January 31, 2023

S3 | Ep 13 | MLOps Maturity: ML V Ops with Leanne Fitzpatrick, Director of Data Science at Financial Times, and Andy McMahon, Head of MLOps at Natwest Group

1 hour 1 minute

In Episode 13 of Season 3, of Driven By Data: The Podcast, Kyle Winterbottom is joined by Leanne Fitzpatrick, Director of Data Science at Financial Times, and Andy McMahon, Head of MLOps at Natwest Group, where they discuss the current MLOps maturity, which includes;

The maturity of MLOps over the last 12 months
Why getting ML into production is no longer the challenge
Why the Ops component is now the major challenge
What best practice actually looks like
Why ML is more software than Data Science
Why thinking about MLOps as products is helping the industry
What does MLOps actually mean to business leaders
The resiliency and risk elements
Why design and processes are really what make or break MLOps
Why we need rules of engagement
Why we don’t have enough practitioner expertise
The challenge of building scalable MLOps solutions
The differences and similarities to software engineering
Why companies will need to change their operating models to support their MLOps maturity
The importance of domain expertise for successful MLOps
The current tooling landscape
The role of vendors play in the journey
Build versus Buy
Predictions for next 12-24 months

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By Orbition Group

3.9

77 ratings

January 31, 2023

S3 | Ep 13 | MLOps Maturity: ML V Ops with Leanne Fitzpatrick, Director of Data Science at Financial Times, and Andy McMahon, Head of MLOps at Natwest Group

1 hour 1 minute

The maturity of MLOps over the last 12 months
Why getting ML into production is no longer the challenge
Why the Ops component is now the major challenge
What best practice actually looks like
Why ML is more software than Data Science
Why thinking about MLOps as products is helping the industry
What does MLOps actually mean to business leaders
The resiliency and risk elements
Why design and processes are really what make or break MLOps
Why we need rules of engagement
Why we don’t have enough practitioner expertise
The challenge of building scalable MLOps solutions
The differences and similarities to software engineering
Why companies will need to change their operating models to support their MLOps maturity
The importance of domain expertise for successful MLOps
The current tooling landscape
The role of vendors play in the journey
Build versus Buy
Predictions for next 12-24 months