We are entering an Age of Artificial Intelligence with unprecedented opportunities. Companies are integrating AI-driven solutions to enhance efficiency, drive innovation, and maintain a competitive edge. However, prevailing myths about AI create uncertainty in strategic decision-making and adoption. We will discuss four foundational myths in our AI centric world: 1) regulation is an innovation killer; 2) scaling current models will lead to Artificial General Intelligence (AGI); 3) general models create maximum value; and 4) the value of data is unlimited. We will show these myths are delaying AI progress and provide research in overcoming their challenges.
talk-data.com
Speaker
Dr. Sean Kennedy
2
talks
VP Bell Labs, AI Research Lab Leader
Nokia Bell Labs
Sean Kennedy, Vice President of Nokia Bell Labs, spearheads the Artificial Intelligence Research Lab. He is at the cutting edge of developing next-generation solutions in algorithmic and machine learning, as well as exploring emerging technologies in human sensing devices and the exciting field of quantum computing. Sean's multinational team is dedicated to tackling industry-critical challenges, creating value for customers, and making a significant business impact. With a personal passion for mathematics and computing technologies, Sean is keen on applying his expertise to predict and explain the future implications of artificial intelligence. His current research is focused on advancing machine learning systems to mimic human analytical thinking capabilities. Sean is also at the helm of Nokia's initiatives around responsible AI and its AI Centre of Excellence. He holds a joint PhD in Mathematics and Computer Science from McGill University in Montreal, Canada. Outside of his professional life, Sean enjoys skiing, cycling, and running. He is widely recognized for his ability to communicate the complexities of emerging technologies in a clear and accessible way.
Bio from: Big Data LDN 2025
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We are entering an Age of Artificial Intelligence with unprecedented opportunities. Companies are integrating AI-driven solutions to enhance efficiency, drive innovation, and maintain a competitive edge. However, prevailing myths about AI create uncertainty in strategic decision-making and adoption. We will discuss four foundational myths in our AI centric world: 1) regulation is an innovation killer; 2) scaling current models will lead to Artificial General Intelligence (AGI); 3) general models create maximum value; and 4) the value of data is unlimited. We will show these myths are delaying AI progress and provide research in overcoming their challenges.