In this discussion, Michelle Marie Conway, Lead Data Scientist at Lloyds Banking Group, and Andrew Baker, Data Science Delivery Lead, share insights from their cloud migration journey. They delve into the transition from on-prem technology to the cloud, highlighting the complexities of model management and engineering practices. Their conversation also touches on the harmony between music and technology, the challenges of chaos engineering in regulated environments, and the importance of collaboration within data science and platform teams.
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question_answer ANECDOTE
Five Billion Dollar Cloud Migration
Lloyds Bank's cloud migration cost $5 billion, as revealed in a press release.
This confirmed Michelle Conway's previous statement on the MLOps podcast.
question_answer ANECDOTE
Unsupported Library
A consultant suggested an unsupported library built by a PhD student.
The team prioritized robustness and longevity, opting for a different, more reliable solution.
question_answer ANECDOTE
Five Hours to Twenty Minutes
Migrating to the cloud reduced pipeline runtime for one model from five hours to 20 minutes.
This drastic improvement highlighted the limitations of the previous on-prem setup.
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Re-Platforming Your Tech Stack // MLOps Podcast #281 with Michelle Marie Conway, Lead Data Scientist at Lloyds Banking Group and Andrew Baker, Data Science Delivery Lead at Lloyds Banking Group.
// Abstract
Lloyds Banking Group is on a mission to embrace the power of cloud and unlock the opportunities that it provides. Andrew, Michelle, and their MLOps team have been on a journey over the last 12 months to take their portfolio of circa 10 Machine Learning models in production and migrate them from an on-prem solution to a cloud-based environment. During the podcast, Michelle and Andrew share their reflections as well as some dos (and don’ts!) of managing the migration of an established portfolio.
// Bio
Michelle Marie Conway
Michelle is a Lead Data Scientist in the high-performance data science team at Lloyds Banking Group. With deep expertise in managing production-level Python code and machine learning models, she has worked alongside fellow senior manager Andrew to drive the bank's transition to the Google Cloud Platform. Together, they have played a pivotal role in modernising the ML portfolio in collaboration with a remarkable ML Ops team.
Originally from Ireland and now based in London, Michelle blends her technical expertise with a love for the arts.
Andrew Baker
Andrew graduated from the University of Birmingham with a first-class honours degree in Mathematics and Music with a Year in Computer Science and joined Lloyds Banking Group on their Retail graduate scheme in 2015.
Since 2021 Andrew has worked in the world of data, firstly in shaping the Retail data strategy and most recently as a Data Science Delivery Lead, growing and managing a team of Data Scientists and Machine Learning Engineers. He has built a high-performing team responsible for building and maintaining ML models in production for the Consumer Lending division of the bank.
Andrew is motivated by the role that data science and ML can play in transforming the business and its processes, and is focused on balancing the power of ML with the need for simplicity and explainability that enables business users to engage with the opportunities that exist in this space and the demands of a highly regulated environment.
// MLOps Swag/Merch
https://shop.mlops.community/
// Related Links
Website: https://www.michelleconway.co.uk/
https://www.linkedin.com/pulse/artificial-intelligence-just-when-data-science-answer-andrew-baker-hfdge/
https://www.linkedin.com/pulse/artificial-intelligence-conundrum-generative-ai-andrew-baker-qla7e/
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