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Artificial Intelligence 101: Past, present & future impacts with Zhang Zhang (Polen Capital)
May 9, 2025
Join Zhang Zhang, Head of AI and Risk Analytics at Polen Capital, with 15 years of experience in economics and consulting, as he dives into the evolution of artificial intelligence. hear about the delicate balance between AI hype and its real challenges. Zhang reveals insights on generative AI and its impacts on productivity and labor dynamics. The conversation emphasizes the importance of human creativity and empathy in navigating AI advancements, underscoring a need for responsible deployment and critical thinking in a rapidly changing landscape.
24:48
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Quick takeaways
- AI has evolved through three phases, from limited computing capabilities to deep learning, significantly enhancing decision-making processes.
- The rise of generative AI promises to revolutionize productivity and workflows, raising important questions about ethical deployment and economic implications.
Deep dives
Evolution of Artificial Intelligence
Artificial intelligence (AI) has undergone significant transformations since its inception, evolving through three distinct phases. Initially, it was hampered by limited computing capabilities, relying on manual, predefined rules that struggled in real-world applications, leading to a period known as the AI winter. The 1990s marked the rise of machine learning, where computers began utilizing statistical frameworks to process large data sets, allowing for more dynamic and effective decision-making. The advent of deep learning around 15 years ago, propelled by Moore's Law, enabled the development of complex models that could analyze vast amounts of data, facilitating the capabilities we recognize in today’s advanced AI systems.
