"Women Leading AI" spotlights the trailblazing women at the forefront of artificial intelligence. Discover how their leadership is not only advancing technology but also championing diversity and innovation in the field. Join us to explore their transformative impact on AI, drawing inspiration and insights to propel your own career in this dynamic industry. #Women AI
Women Leading AI
Artificial Intelligence (AI) is no longer a futuristic concept; it's here, and it's transforming industries at an unprecedented pace. According to a recent report by Goldman Sachs [1], tech giants and other companies are set to spend over $1 trillion on AI infrastructure in the coming
Women Leading AI
💡SCMP Article here: AI could boost Hongkongers’ salaries by up to 28%, if employers bridge training gap, Amazon research says Artificial Intelligence (AI) is not just a buzzword; it's a transformative force that could significantly impact the workforce in Hong Kong. According to recent research by Amazon Web
Women Leading AI
💡PWC AI Jobs Barometer, May 21 2024 https://www.pwc.com/gx/en/issues/artificial-intelligence/ai-jobs-barometer.html Artificial Intelligence (AI) is revolutionizing the world of work, much like the Industrial Revolution did for manufacturing. According to PwC's latest AI Jobs Barometer, which analyzed over half a billion job
Women Leading AI
In the rapidly evolving landscape of artificial intelligence (AI), the conversation around diversity and leadership is becoming increasingly crucial. A recent study by IBM, titled "Female Leadership in the Age of AI," spearheaded by Ana Paula Assis, Chair and General Manager of IBM EMEA, sheds light on this
Women Leading AI
Imagine having someone 24/7 who understands your aspirations, celebrates your victories, and guides you through the tough moments. Whether it’s refining your business strategy, overcoming imposter syndrome, or negotiating that crucial deal, this AI mentor is by your side, empowering you to thrive.
Women Leading AI
We explore why women are particularly well-suited for leading corporate AI innovation programs, supported by evidence and encouraging a more inclusive approach to AI leadership.