Technology is changing at lightning speed, with leaders building and preparing for capabilities that don’t yet exist. Focusing on the next generation, and building transferrable skills to lead organizations into the future, is critical.
In June, Canadians celebrate National Indigenous History Month to honour the history, heritage and diversity of Indigenous peoples in Canada. It is a chance to appreciate the strength of our First Nations, Inuit and Métis people, but also an opportunity to recognize the challenges that many of these communities continue to face.
After the unprecedented events of 2020, technology and innovation will be at the forefront of the world’s recovery. It will continue to allow for resiliency and flexibility, providing platforms for hybrid workplaces and supporting our economic future.
For decades, and across the globe, women have faced unique and detrimental challenges in the workplace. Whether it is equal representation, gender pay equity, or carrying the bulk of the family and household responsibilities, the struggles are real.
What is the difference between Machine Learning and Reinforcement Learning? Kathryn Hume, Interim Lead, Borealis AI and Professor Matthew E. Taylor, Associate Professor, Computing Science at the University of Alberta and Fellow-in-Residence, Alberta Machine Intelligence Institute, recently published an article in the Harvard Business Review that addresses this important question.
RBC Women in Cyber Security: The Imperative of Diversity in the Industry
The cyber security industry faces a talent shortage and a lack of diversity. Three female cyber security professionals at RBC discuss the importance of a diverse and inclusive workforce, how to attract more women, and why a rebranding of the industry is needed to fill the gaps.