Expert Sessions: How to Break into AI in 2024
Key Takeaways:- Learn about the key skills, tools, and roles needed to break into AI in 2024
- Best practices for building your resume to break into AI—from creating portfolio projects to building your personal brand
- Tips & tricks to effectively navigate the job hunt
Description
Now more than ever, artificial intelligence (AI) is reshaping industries and creating new ways of interacting with technology. It is no surprise that the World Economic Forum lists AI & ML at the top of the fastest growing jobs over the next five years. As we step into 2024, AI continues to be rife with opportunities.
In this webinar, Sadie St. Lawrence, Chief AI Officer at SSL Innovations and Founder of Women in Data, will provide an in-depth exploration of best practices for breaking into AI in 2024. She will discuss the various roles, skills, and tools prevalent in today's AI industry. Additionally, she will offer guidance on building a resume tailored for AI careers, and share tips and tricks for effectively navigating the job hunt. There will also be ample opportunity for audience Q&A during the session.
Presenter Bio
Sadie St. Lawrence is the Founder and CEO of the Human Machine Collaboration Institute (HMCI), where she leads pioneering research, education, and advising efforts aimed at optimizing human and machine interaction in the AI-driven era of knowledge work. She also founded Women in Data™, an international non-profit organization represented in 55 countries with a thriving community of over 70,000 data professionals. Under her leadership, Women in Data was recognized as a Top 50 Leading Non-Profit and the premier community for Women in AI and Tech in 2021.With academic foundations in piano performance, psychology, and data science, Sadie’s career spans from neuroscience research to over a decade leading data science and AI strategy teams at organizations such as VSP and Accenture. Her contributions to the field have earned her recognition as one of DataIQ’s Top 100 Most Influential People in Data (2024) and Dataleum’s Top 30 Women in AI (2022)Sadie actively contributes to national initiatives as a member of the White House Council for Data and AI Training and the OpenAI Research Community. Her passion for education has driven her to train over 700,000 individuals through data science and AI courses at UC Davis, Coursera, and LinkedIn Learning.