Abstract: As AI and Machine Learning continue to be touted as silver bullets for all business problems, it’s crucial to be able to cut through the hype and stay focused on delivering production grade products and services for your customers. In this talk I’ll share my four biggest lessons learned and discuss how you can avoid the most common pitfalls, whether you’re a practicing Data Scientist, the leader of an analytics practice, or someone looking to start a new career in Data Science. Finally, we’ll reflect on the ethical considerations surrounding the use of AI / ML products and how we must all remain accountable for what we build.
Bio: Tom is the Head of Data Science within Lloyds Banking Group, the largest retail bank in the UK where he originally joined as a Credit Risk Analyst. Today, Tom leads a group of over 50 (and counting!) pathfinders and trailblazers across the disciplines of Machine Learning, Data Engineering and Software Development, delivering ground-breaking AI products to Lloyds Banking Group’s colleagues and customers.
Tom is a strong advocate of Diversity in Data Science as well as actively supporting Mental Health and Neurodiversity initiatives. Outside of work, Tom is a keen photographer, traveller and owns far too many board games.
Head of Data Science & Data Engineering | Lloyds Banking Group
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