6 Oct 2023
23 mins

harrods-data-science-mlops

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Tasked with the delivery of lofty business value targets, Carys shares why now is exactly the right point in time for Harrods to capitalise on their data, and how they started the journey to delivering tangible benefits to the business.

retail, MLOps, machine learning, data science,

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2023-10-05T23:00:00Z

Carys Lees, Head of Data Strategy at Harrods, discusses how to hit retail profitability targets with Data Science and MLOps.

At Big Data LDN 2023, Carys takes to the stage with Gerard Harvey, Solutions Manager at Ascent, to share the journey of building a data science capability at Britain’s leading luxury retailer.

article

Data & AI

23 mins

//images.ctfassets.net/k26sw1bgepr3/1PiFTAWzRC9TpHVG19PZhj/19bd4c6ff02d8371b839ee5c90ed313f/Harrods5.webp

Tasked with the delivery of lofty business value targets, Carys shares why now is exactly the right point in time for Harrods to capitalise on their data, and how they started the journey to delivering tangible benefits to the business.


Gerard discusses the groundwork needed for successful Data & AI solutions, and the importance of automation within MLOps to free up time to focus on critical Machine Learning projects for sustained delivery of business value, using data and enabling into OpenAI use cases in the future.

Carys Lees

Head of Data Strategy

Harrods

Carys Lees has 10 years of experience in developing and deploying AI solutions to businesses. A big believer that AI solutions and technologies need the confidence and support of the people who use them to be successful, she has experience of achieving this in multiple organisations. In her current role as Head of Data Strategy, Carys has driven the implementation of a new cloud infrastructure and data science platform - generating outputs which are now used across the wider Harrods business.

Caryl Lee

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