This episode explores the transformative power of emerging technologies like AI, machine learning, and augmented reality, cautioning retailers against marketing hype and urging them to understand the fundamental differences between these concepts. It provides a nuanced perspective on how these innovations, from the Gutenberg Press to present-day social media, shape communication and consumer behavior. Ecommerce operators will learn to critically evaluate AI claims and leverage genuine technological advancements for future growth.
Key takeaways
Skepticism is key: Be highly skeptical of technology providers claiming to use 'deep learning' or 'AI' if they aren't backed by major players like Google, IBM, Amazon, or Microsoft. Many are merely selling advanced statistical analysis (the 'straight line' in a scatter plot) as true AI.
Understand the difference between machine learning and deep learning: Machine learning finds the 'best fit algorithm' (a straight line in a scatter plot), while deep learning continuously refines that line with 'gradient descent' for more accurate, multidimensional data point predictions. Most vendors are selling the former, not the latter.
Personalization vs. A/B testing: Don't confuse A/B testing with true 1:1 personalization. While many claim personalization, they often lack the means for genuine individual tailoring, which deep learning can enable.
Leverage accessible AR/VR tools: Just as the Gutenberg Press democratized publishing, tools like Amazon Sumerian and Google Poly are democratizing 3D and AR/VR content creation. Explore these platforms to create immersive experiences without requiring specialized expertise, akin to 'Microsoft Paint for VR'.
Monitor the evolution of social commerce norms: Recognize that new mediums, like early HAM radio or current social media platforms, develop their own implicit guidelines and ethical considerations. As commerce becomes increasingly social, understanding and adapting to these evolving norms is crucial for retailers.
Themes
ai & automationretail & omnichannelbrand & contentdtc strategy
What *exactly* is Deep Learning? What can HAM radio teach us about decency in the social age? Danny Sepulveda joins us for a new "Future Policy" segment. Also - what exactly is Facebook Messenger Kids all about?
Skepticism is key: Be highly skeptical of technology providers claiming to use 'deep learning' or 'AI' if they aren't backed by major players like Google, IBM, Amazon, or Microsoft. Many are merely selling advanced statistical analysis (the 'straight line' in a scatter plot) as true AI.
What does this episode say about retail & omnichannel?
Understand the difference between machine learning and deep learning: Machine learning finds the 'best fit algorithm' (a straight line in a scatter plot), while deep learning continuously refines that line with 'gradient descent' for more accurate, multidimensional data point predictions. Most vendors are selling the former, not the latter.
What does this episode say about brand & content?
Personalization vs. A/B testing: Don't confuse A/B testing with true 1:1 personalization. While many claim personalization, they often lack the means for genuine individual tailoring, which deep learning can enable.
What does this episode say about dtc strategy?
Leverage accessible AR/VR tools: Just as the Gutenberg Press democratized publishing, tools like Amazon Sumerian and Google Poly are democratizing 3D and AR/VR content creation. Explore these platforms to create immersive experiences without requiring specialized expertise, akin to 'Microsoft Paint for VR'.
What does this episode say about ai & automation?
Monitor the evolution of social commerce norms: Recognize that new mediums, like early HAM radio or current social media platforms, develop their own implicit guidelines and ethical considerations. As commerce becomes increasingly social, understanding and adapting to these evolving norms is crucial for retailers.
