(Online) Building a robust data foundation for AI success
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18:30: Building a robust data foundation for AI success - Maryleen Amaizu
19:30 Data News and Roundup
19:45 Finish
Session details:
Building a robust data foundation for AI success - Maryleen Amaizu
In the age of artificial intelligence, the fuel that drives innovation is not just code, but data. But having a data lake isn't enough. Join us as we explore 5 critical foundations that transform raw data into the driving force behind impactful AI solutions:
Data Strategy: Setting a clear vision for how your data will empower AI initiatives.
Data Preparation: From collection to cleansing, mastering the art of preparing clean, annotated, and privacy-sensitive data for AI consumption.
Data Governance: Ensuring data quality, security, and compliance to build trust and avoid pitfalls.
Scalability and Infrastructure: Building a robust architecture that can handle the ever-growing volume and velocity of data.
Feedback Loops: Continuously improving your AI models by feeding them high-quality, relevant feedback data.
Using a real-world case study, we’ll deep dive into how we can embed privacy engineering and compliance into data pipelines — automating sensitive data detection, de-identification, and risk assessment to enable responsible and ethical AI development.
You’ll walk away with practical insights and strategies to build strong data foundations that balance innovation with privacy and trust.
Speaker:
Maryleen Amaizu
Machine Learning Engineer at Redgate
Dr. Maryleen Amaizu is a Machine Learning Engineer at Redgate Software, specialising in synthetic data generation for the Test Data Management team. With a PhD and a strong background in machine learning and Internet of Things, she applies her expertise to develop innovative solutions that enhance data privacy and compliance in software testing. Previously, as a Principal Investigator at the Alan Turing Institute, she led a research project in collaboration with kunato.ai, focusing on building trust and combating misinformation with AI. Maryleen earned her PhD from the University of Leicester, where she designed performance-efficient, privacy-preserving machine learning systems for resource-constrained environments. Her global contributions to digital technology have been recognized with two Global Talent Visa Awards in the UK and Australia. She co-founded Glotale, a platform focused on attracting talents to booming locales and opportunities worldwide.
