Women in AI Virtual schedule

AI in the Financial Services Sector

AI has been disrupting every industry and has long since gone from an emerging trend to a pivotal foundational capability. In the coming years, financial service sector executives of all levels will need to understand how AI will impact their business, from understanding where the opportunities are to preemptively mitigating the well-known challenges impeding AI adoption and execution. This talk will begin by taking a quick look back in history to see how Canada's academic AI bench strength came to be and what advantages lie in the financial services sector. From there, it will outline key strategic machine learning opportunities before getting into the nitty-gritty impediments to execution that need to be overcome.

After completing a number of advance biomedical and mechanical engineering degrees, Paige decided to begin her career in management consulting. Working for McKinsey, she supported a number of multi-national financial institutions across a range of topics, from data strategies, to digital transformation, and even standing on multi-million dollar innovation centers. She's since accrued more than 10 granted patents (+13 pending) and continues to explore her various entrepreneurial endeavours, with the latest focused on clean river-run energy generation technologies.

Most recently, Paige left the Vector Institute for Artificial Intelligence, where she led several nation-wide engagements with Canada's largest financial institutions, consulting companies, regulators, and government agencies, to join TD's very own Layer 6 AI. At Layer 6, Paige is globally responsible for the end-to-end lifecycle of all Layer 6 use-cases across the bank.

Making Alexa more Knowledgeable

Would you like to understand the magic that happens in 1 second from the moment that you ask a question to Alexa to the moment it replies to you as if Alexa was a human? In this talk Saranya Govindan will go through cutting edge technologies in Artificial intelligence that are being developed in Alexa Research, Amazon to make a super complex product of automatic assistant using deep learning. After this talk you will know about concepts ranging from knowledge acquisition to question understanding and answering.

Saranya is an Applied Science Manager at Amazon. Previously, she was also a Machine learning Data Scientist at Tesco. She has an engineering background with 12 years of commercial experience working in the Retail and Insurance sectors and has held consulting and leadership roles in the Analytics space. Saranya is a graduate from Imperial College London and got her Masters in Business Analytics with a Research assistant scholarship. In her current role, she works on improving store space allocation and employs machine-learning techniques to solve business problems.

Join small group discussions with mentors and peers in AI to explore common challenges and learn more on topics such as progressing your career, diversity, the importance of mentors, and male allies.

Seasoned Data & Analytics executive who has managed significant national businesses within Financial Institutions. Over 20 years of Experience in leading and transforming large data and analytics teams. Highly strategic leader with proven ability to practically execute and deliver strong business results. Currently the Executive product owner of Data as a service for business segments over 800 colleagues in Canadian personal bank, America most convenient Bank, Business Bank, wealth and Insurance. A lifetime history of giving back to the community. Volunteer roles include Leading the TD Insurance Indigenous diversity pillar, senior leadership role for United Way Quebec, senior leadership in Women in leadership for Québec and an active influential speaker amongst several Montreal high schools, Cegep and Montréal University. Looking to expand governance contributions by serving organizations where skills, style and business experience can be leveraged. Sylvie holds a bachelor's degree in Mathematics, a master's degree in Statistics from Montreal University and a certificate of lean six sigma black belt for New York University.

Join a 1-to-1 Speed Networking session to be randomly paired with others with a similar interest for short video calls to expand your network and connect with others.