There’s a glaring gender gap, in both artificial intelligence and project management. But as demand for AI talent surges, there’s an opportunity to close those gaps. Ahead of International Women’s Day, our guests discuss the gender gaps they’ve experienced in their careers in tech, how greater team diversity helps minimize algorithmic biases in AI projects, what they’ve learned from leading AI initiatives and building their AI expertise, and ways to help more women pursue careers in AI.
Key themes
[02:36] Bridging the gender gap: How diversity benefits AI initiatives
[05:21] Identifying and mitigating risks in generative AI projects
[07:52] Top advice to women in tech: Know your worth, be yourself and continue to learn
[12:55] Building AI knowledge in a changing business landscape
[16:15] Minimizing AI algorithmic biases with multiple perspectives
[19:08] Ways to help more women kickstart their careers in AI
Job Skills—Time Management
Career Development—Professional Networking Pro-Tips
Job Skills—Fast-Paced Problem Solving
Transformation—The Future of Manufacturing
Career Development—Moving to a New Market Sector
Leadership—Managing Multigenerational Teams
Social Responsibility—Promoting Gender Equality
Transformation—Artificial Intelligence
Career Development—In-Demand Skills and Sectors
Job Skills—Cultivating Creativity
Transformation—Navigating Mergers and Acquisitions
Lessons Learned—The Value of Knowledge Transfer
Talent Management—How to Fill the Project Talent Gap
Transformation—How to Manage Complexity
Leadership—New Skills for an Age of Flux
A Radical Mindshift—Managing Bleeding Edge Projects
Crisis Mode—Emergency Management and Response
The Greater Good—Lessons from Governments and NGOs
The Need for Speed—Delivering Rapid Response Projects
The Long Haul—Future-Proofing Infrastructure
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