This simple question helped Amazon teams get future ready: AWS AI and data chief
Jan 10, 2024
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Swami Sivasubramanian, VP of Data and AI at Amazon Web Services, explains why it's critical to prioritize access to AI training for a range of ages and backgrounds. He shares free AWS programming for cutting-edge AI tools and discusses the transformation of jobs due to rapidly changing technology. The podcast also debunks misconceptions about reskilling for AI, introduces generative AI programs, and emphasizes the importance of embracing struggles in innovation.
AI training should be prioritized for diverse ages and backgrounds, including non-technical fields like HR or Marketing.
Embracing new technologies and upskilling for AI can create opportunities for workers to earn higher salaries and enhance various industries.
Deep dives
The Impact of AI on the Future of Work
The podcast episode discusses the transformative impact of AI and machine learning on the future of work. It emphasizes the need for reskilling and highlights the changing nature of jobs due to technological advancements. The World Economic Forum's prediction that 23% of global jobs will change in the next five years is mentioned. The episode emphasizes the importance of making AI more accessible to a broader workforce and shares free programs offered by Amazon Web Services to democratize access to new tech. The VP of Data and AI at AWS, Swami Sivar Subramanian, also emphasizes the importance of embracing new technologies and shares insights on how workers and managers can prioritize reskilling for AI.
The Growing Demand for AI Talent
The podcast episode highlights Amazon's research on the future of work, which reveals that businesses anticipate a significant transformation through AI adoption. The research indicates that 73% of employers consider hiring AI talent as a top priority, but struggle to find enough workers with AI skills. The increasing skills gap and businesses' desire to deploy AI solutions in the next five years create opportunities for workers to upskill and potentially earn up to 47% more in salaries. The episode underlines the need for a skilled technical workforce and the potential for AI to enhance various industries, including marketing, finance, and HR.
The Importance of Reskilling and Leadership Buy-In
The podcast episode explores common misconceptions around reskilling for AI and machine learning. It emphasizes that individuals do not need to possess highly technical skills to learn and explore AI. Free programs, such as AWS's courses on deep learning and generative AI, are highlighted as accessible ways to gain practical experience without writing code. The episode encourages workers and managers to take advantage of these opportunities and highlights the benefits of reskilling, including potential career advancement and the ability to leverage AI technologies in various domains. Leadership buy-in and a long-term view on incorporating AI into business strategies are also emphasized as crucial for successful reskilling initiatives.
Swami Sivasubramanian’s first experience using a computer was in high school in India, where there was just one computer for the entire school. While each student could use the computer for just a few minutes a day, those few minutes sparked his lifelong passion for technology, one that led to his current role as VP of Data and AI at Amazon Web Services. It also drove home to him that any exposure to new technologies can be transformative. He talks to Meet the Leader about why it's critical to prioritize access to AI training for a range of ages and backgrounds, especially those in non-technical fields like HR or Marketing where new possibilities will be on the horizon. He also shares a slate of free AWS programming for cutting edge AI tools as well as guidance for leaders setting training priorities for the year ahead. He’ll also explain how he's changed as a leader and technologist since starting at Amazon as a mere intern and the key questions that can help teams get future ready, including one that helped teams at AWS maximize technologies like machine learning.
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