With an expected annual growth rate of 37.3% between 2023 and 2030, artificial intelligence will undoubtedly revolutionize every industry and profoundly impact the way we live, work, and interact. With this transformative technology, businesses are unlocking new levels of efficiency, innovation, and customer satisfaction.
From groundbreaking advancements in machine learning to the ethical considerations surrounding AI, our panel of experts will delve deep into the possibilities and challenges that lie ahead. Don't miss this opportunity to discuss the latest advancements, trends, and breakthroughs in this rapidly evolving field and be at the forefront of the AI revolution.
Justin Grammens is a lifelong learner and passionate about Software Development, Artificial Intelligence and enjoys giving back to the community through non-profit organizations and teaching.
He is the Founder and CEO of Recursive Awesome, a management consulting firm helping executives leverage Artificial Intelligence to bring efficiency and automation to their business. He is the Founder and CEO of Lab651, where his team helps companies quickly and efficiently build their custom software applications by guiding them with a proven process and talent to a successful release. He is the owner of AppliedAI Weekly News, a co-founder of AppliedAI and Captovation, the host of the Conversations on AppliedAI Podcast, and an Adjunct Professor at the University of Saint Thomas in their Graduate Programs in Software.
Omar Rahman is Sr. Director of Machine Learning & Detection Platform at Salesforce. In his current role, Omar leads a team of Machine Learning and Data Engineers in leveraging ML for defensive security purposes as part of the Cybersecurity team. Previously, Omar has led data science and machine learning engineering teams at Adobe and SAP focusing on bringing intelligent capabilities to marketing cloud and procurement applications. Omar holds a Master’s degree in Electrical Engineering from Arizona State University. Omar loves to play chess and volunteers his free time to guide and mentor graduate students in AI.
Frincy is an award-winning Artificial Intelligence leader, community builder, public speaker and changemaker, with drive and passion for empowering more women to enter careers in AI. She has 9+ years of diverse experience in Telecom, Information & Technology, Consumer goods and Education sectors.
As the Canadian Ambassador for Women in AI (WAI), Frincy leads many strategic initiatives to inspire, connect, mentor and celebrate women AI professionals.
Frincy has received several awards and recognitions for her contributions to AI, including being named 2022 Canada’s Most Powerful Women Top 100™ by Women Executive Network, 2022 Advocate of the Year by Women in IT Awards and 2022 Women in AI Ambassador of the Year by Women in AI. She was also featured in the 2023 Top 100+ Women Advancing AI and Top 25 Women in AI - Canada Edition by Re.Work.
Frincy is currently working as a Principal Data Scientist at ADP and previously held Data Science roles at AltaML and TELUS Business for three years. She was awarded the "Connection Honors Leaders of Excellence" Award in the category of Emerging Leaders by TELUS in 2021 for her contributions to empowering women in STEM careers.
Victoria Vassileva (she/her) is a Strategic Account Director at Arthur, where she looks after the AI Performance & Responsibility practice. She has spent over a dozen years in and around data, first programming in SAS before transitioning to the GTM side. She now works to help complex organizations bring operational maturity and Responsible and Trustworthy practices to AI/ML initiatives across industries. At Arthur, Victoria focuses primarily on partnering with F100 enterprises to bring comprehensive performance management and proactive risk reduction and mitigation across their entire AI production stack. She is deeply motivated by the opportunity to shift industry practices to a "front-end ethics" approach to place equity and fairness considerations at the forefront of machine learning and automation projects. She holds degrees in Mathematics and French from the University of Texas at Austin.
