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(Online) Building a robust data foundation for AI success
2025-11-26 · 18:30
This is the link to register to attend online. To register to attend in person, please use (In Person) Building a robust data foundation for AI success The Teams link will be published on the right of this page for those who have registered. 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. |
(Online) Building a robust data foundation for AI success
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(In Person) Building a robust data foundation for AI success
2025-11-26 · 18:00
This is the link to register to attend in person. To register to attend online, please use (Online) Building a robust data foundation for AI success 18:00- 18:30 - Networking and Refreshments 18:30: Building a robust data foundation for AI success - Maryleen Amaizu 19:30: Roundup of data news 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. X:@maryleenamaizu ln: linkedin.com/in/maryleenamaizu This event is sponsored by Humand Talent Solutions, who provide the best technical talent for local start-ups and scale-ups, and Packt Books who provide the eBooks for the prize draw. |
(In Person) Building a robust data foundation for AI success
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OpenUK London #24: Platform Engineering (Virtual Signups)
2025-05-21 · 17:50
Sign up now for our Wednesday 21st May next meetup. We are getting into all things Platform Engineering! Have an open topic or workshop in the platform space you want us to talk about? Tell us in our OpenUK Slack community! 6:30 pm: Teams link opens in case you want to network online. 6:50 pm: Welcome Online and in-Person, reminder of code of conduct and warm-up discussion. 7:00 pm: a panel discussing the last 3 to 5 years of platform engineering, and the effect of open source on it — and its impact on open source —with Multiverse’s Helen Gruel (ex-Backstage), Syntasso's Cat Morris, Chainalysis' Leena Mooneeram, and more facilitated by Jennifer Riggins 7:45-7:55pm: Short break 7:55pm: a fun, interactive platform workshop 8:45 pm: Clean up and leave. Thank you to our sponsors Avanade! This maintains a Hybrid event but we have separate signups now to limit no-shows at the in-person one. This is for the Online event, which will remain open until the day of. There is a separate link if you commit to joining us on-site in London. The link for the online version of this event will be added about a week before, so please check back. By attending this or any OpenUK event, you are adhering to our Code of Respect and OpenUK's Competition Policy. Please read ahead. If you would like to hear more about OpenUK's other events, you can join our Newsletter. After attending, look out for an email with an invite to our burgeoning Slack community as a way to keep in touch and support each other between activities. |
OpenUK London #24: Platform Engineering (Virtual Signups)
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OpenUK London #24: Platform Engineering (In-Person Signup)
2025-05-21 · 17:30
Wednesday 21st May for our next meetup. We are getting into all things Platform Engineering! Have an open topic or workshop in the platform space you want us to talk about? Tell us in our OpenUK Slack community! 6:30 pm: Arrive on time, grab a bev, a slice and a chat. Scope out our swag table (bring pieces to contribute or trade!) 6:50 pm: Welcome Online and in-Person, reminder of code of conduct and warm-up discussion. 7:00 pm: a panel discussing the last 3 to 5 years of platform engineering, and the effect of open source on it — and its impact on open source —with Multiverse’s Helen Gruel (ex-Backstage), Syntasso's Cat Morris, Chainalysis' Leena Mooneeram, and more facilitated by Jennifer Riggins 7:45-7:55pm: Short break 7:55pm: a fun, interactive platform workshop 8:45 pm: Clean up and leave. This remains an interactive Hybrid event. However, we've split the meetup invites and only opening up our RSVPs three weeks out. Please only sign up for this event if you can definitely attend in person. Everyone is welcome to sign up to the online event. Please remember to bring your I.D. if you are attending in person, as it is required to access the venue. Note the venue does not permit e-scooters or bicycles within the building. Thank you to our sponsors Avanade for providing this great space and yummy pizza! By attending this or any OpenUK event, you are adhering to our Code of Respect and OpenUK's Competition Policy. Please read ahead. If you would like to hear more about OpenUK's other events, you can join our Newsletter. After attending, look out for an email with an invite to our burgeoning Slack community as a way to keep in touch and support each other between activities. |
OpenUK London #24: Platform Engineering (In-Person Signup)
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The Death of a Language
2019-06-01 · 21:47
USC students from the CAIS++ student organization have created a variety of novel projects under the mission statement of "artificial intelligence for social good". In this episode, Kyle interviews Zane and Leena about the Endangered Languages Project. |
Data Skeptic |