Join us for an insightful conversation with Tatyana Mamut, a transformative leader in Silicon Valley renowned for driving innovation through deep customer understanding and empathetic leadership. As a product executive at Amazon, Salesforce,
In this session, we'll dive into Tatyana's journey from being an economist to helping United Nations and then becoming a leader in global advertising to becoming a product executive in Silicon Valley. We'll explore her unique approach to understanding customer behaviors, her work on human-centered design, and the impact of Generative AI on the economy, products, and life. With her background in Anthropology, we will dive into scenario planning to accommodate multiple cases where AI can go right or go wrong. This episode challenges the positive and negative narratives set out by many of the tech leaders and lets the audience ponder more about how to build guardrails so that AI benefits society as a whole.
Navigating the future requires a discerning eye to evaluate a multitude of possible scenarios. By judiciously weeding out unfavorable outcomes, we can pave the way for the most advantageous ones to thrive. Then the question becomes who is it advantageous for?
As Generative AI dominates the products, augments into the jobs and alters the society, the builders of technology, starting from business leaders to product creators, will need to ponder about all the short-term and long-term implications of the adoption and scale of AI.
The future is unwritten as there are many scenarios and possibilities, join us as we host some of the possibilities the future holds for the economy, products and life with Tatyana Mamut
“What’s interesting is our expectations for how embedded technology will be and what it will be like we first interact with technology in order to interact with each other. Like you and I are doing this right now by sitting in a room together and recording something, but we are first interacting with the technology, and then we interact with each other. Right? There’s always a technology step... So technology is sort of our filter now to each other. And I think that is both what’s expected but also very problematic when we get into the age of AI.”
“The primary mechanism here is reinforcement learning with human feedback. These systems require human input to guide them in determining what is correct and incorrect before they can be completely automated. Currently, the pursuit of cost savings is the major driver behind what I’m witnessing. This approach is an example of short-term thinking, which is unproductive. It leads to a ‘race to the bottom’ in every industry that begins to implement generative AI for cost savings. You lose any comparative advantage once one company in an industry adopts this strategy, as all competitors will inevitably follow suit. This potentially initiates a contraction in the overall market for goods and services.”
Founder, Alp UgurayAlp Uguray is a technologist, operator, and founder of Masters of Automation, with experience across GTM at OpenAI, Solution Engineering at Snowflake, and the UiPath ecosystem as a five-time Most Valuable Professional. His work spans product, architecture, startups, and enterprise AI transformation.
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