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144: AI Dialogues: exploring the significance of training AI models
It’s AI bingo at the moment! Everyone’s talking about it - but did you know that the quality and quantity of training datasets are crucial to the accuracy and effectiveness of machine learning models? The more diverse and representative the data, the better the AI model can perform in terms of nuance. Did you ever wonder how to ensure that AI discerns what Americans would wear to a wedding? And what people would wear in Asia, Europe or Africa, taking into account the specificities of each country?
In this enlightening AI dialogue episode of our Globally Speaking podcast, Melanie Peterson - Program Director for Train AI at RWS - joins Vasagi Kothandapani to discuss how she tackled one of her biggest AI challenges: a rating and labelling data project for western-style womenswear using resources in the APAC region only, where the raters were 80% male.
Melanie unpacks the intricacies of her mission, shedding light on how she explains what she does to her family and friends, why a rocket scientist or a chef might have been involved in one of Train AI’s latest data training projects, and what exactly we mean by data collection, data creation, data annotation and sentiment analysis.
Get ready for a captivating exploration into the heart of AI.
Guests
Melanie is the Centre of Excellence Lead and Program Director of RWS’s TrainAI data services practice, responsible for delivering complex, cutting-edge AI training data solutions to global clients operating across a broad range of industries. She has 20 years’ experience working in the AI, SaaS, technology, and localization sectors in a variety of program, product, and project leadership roles.
Prior to joining RWS, Melanie worked for Amazon Web Services (AWS) where she was responsible for managing business operations to enhance the AWS customer experience. Before that, she led multi-million dollar AI data services and localization programs for both Lionbridge and Telus International, supported product launches for Articulate and Web.com, and provided consultancy services to small businesses on launching their own AI innovation-led practices. Melanie holds a Bachelor of Science in Education (BSED) degree from West Chester University of Pennsylvania.
Hosts
Vasagi is a Senior Vice President of Strategic accounts responsible for multiple global accounts and also head of RWS’s TrainAI data services practice, responsible for delivering complex, cutting-edge AI training data solutions to global clients operating across a broad range of industries. She has 27 years’ of industry experience and held various leadership positions in Business Delivery, Technology, Sales, Product Management, and Client Relationship roles in both product development and services organizations globally.
Vasagi has spent most part of her career in Banking and Financial services, Technology and Hospitality practices managing multiple Banks and Fintech accounts and led several technology and Digital transformation initiatives. Vasagi holds a Master’s degree in Information Technology and a Post Graduate Certificate in Artificial Intelligence along with several industry certifications in Data Science, Architecture, Cybersecurity and Business Strategy.
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