Arrival & Networking Reception
Panel Discussion: The Future is Female: Constructing a Dynamic Path for Women in AI
Shiyamali Paranirupasingam - L'Amour Pearls
Shiyamali is the Digital Transformation Leader with a decade of experience working with world leading retailers and banks in Canada and the UK. She is a trailblazer and passionate about building community, business, innovative technology, creative projects and social impact work.
Her love for technology, creativity and arts intersected and as a result she founded an international fashion jewelry brand L’Amour Pearls.
Shiyamali is an advocate for women in technology with a focus on cognitive equity, diversity and inclusion, and she was instrumental in launching the first Women in Artificial Intelligence (WAI) Chapter in Toronto.
Shiyamali has founded an online platform “ Learn with Shiya'' to empower individuals from all walks of life to build confidence with technology.
She is an advisory partner for Digital Literacy Programs run by Markham Public Library and also delivers workshops on digital literacy around the globe. Her philanthropy efforts involve supporting vulnerable children and women by providing learning and vocational training opportunities.
Nataliya Portman - Cineplex Digital Media
Nataliya received her Doctoral Degree in Applied Mathematics from the University of Waterloo in 2010, followed by postdoctoral training at the Neurological Institute in Montreal. Following her postdoctoral assignment, she developed a novel approach to brain tissue classification in early childhood brain MRIs using modern Computer Vision pattern recognition and perceptual image quality models. Nataliya has worked in many industries including neuroscience, biotech, the public sector, and various start-up software companies. Throughout her career, she has applied her expertise in Mathematics to develop numerous models including but not limited to machine learning algorithms, computationally efficient algorithms for model validation, and neural networks. She is the co-inventor of “Bid-Assist”, a strategy for setting up an initial bidding amount to discourage low bidding behaviour, and “AutoVision”, a mobile app that allows automatic taking of pictures of vehicle views and damages recognized by an image classifier. Nataliya paved a new way for Data Science in the incentives industry. She developed predictive analytics tools that help channel leaders maximize the return on investment of their channel incentive programs. In January 2021, Nataliya joined the Cineplex Digital Media as a Senior Data Scientist committed to the development of media content recommendation systems.
Maria Abrar - Meta
Maria is a data scientist and analytics expert with 14 years’ experience in creating insights and customer journeys using predictive and prescriptive models. In the past years, Maria has built and trained a data science team, provide data science consultancies in Pakistan, Ukraine, Bangladesh, Russia, Italy and Canadian markets and provided data science solutions. She has worked closely with marketeers, Product Managers and leadership and assist them in utilizing the output of data science in ATL and BTL campaigns, devise future roadmaps and business strategies. Maria has extensive experience in building customer churn prediction models, forecasting customer usage trends and revenue, creating social network maps, developing product recommendation engines and in depth behavioural segmentation.
She is currently working as a Data Scientist for Meta and based in Toronto.
Frincy Clement - TELUS Business
Frincy is an Artificial Intelligence leader with business acumen and passionate about giving back to the AI community. She is a community builder and changemaker, with drive and passion for empowering more women to adopt careers in AI. She has 8 years of diverse experience in Telecom, Information & Technology, Consumer goods and Education sectors. She is a firm believer and practitioner of continuous learning and striving for excellence.
Frincy is the Canadian Ambassador for Women in Artificial Intelligence (WAI), a global community of women AI practitioners, contributing towards increasing the female representation in AI. Frincy brings WAI Canada at the forefront of renewed commitment to AI and diversity in tech by leading many strategic initiatives to inspire, connect, mentor and celebrate women AI professionals.
Frincy currently leads a team of Data Scientists at TELUS Business Solutions, building the product roadmap & strategy for TELUS Insights. In 2021, she was awarded the “Connection Honors Leaders of Excellence” Award in the category of Emerging Leaders for her contributions in empowering women in STEM Careers.
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