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THE GUEST

Nico Posner’s whose career has spanned some of the world’s most innovative companies, including LinkedIn, eBay, Clover, and Xero. Nico’s career is a masterclass in innovation with massive impact across industries, from startup growth to some of the world’s largest companies.  Nico has been working with AI since 2018, with incredible results - for example, as a former VP of Product for Xero, Nico led initiatives integrating cutting-edge AI and predictive analytics into products used by over 100,000 small businesses worldwide, doubling the company’s revenue for multiple product lines. From AI ovens to molecular beverage printers - Nico’s been on the forefront of industry transformation his whole career, and integrating AI along the way. He’s also an alumni of our AI Product Leader Blueprint program - and he’s currently looking for his next opportunity - find him on LInkedIn.

THE SUMMARY

AI in the Real World 🌍: Implementing AI effectively requires bridging the gap between innovative technologies and real-world user needs. Success comes from creating tools that address tangible problems, like cashflow forecasting or vision-based cooking systems.

The Human Touch in AI 🤝: Human-in-the-loop systems are vital for improving AI outputs over time. Products that allow users to refine predictions or provide feedback create a balance between precision and usability, enhancing overall satisfaction.

Learning from Errors 🔄: Embracing experimentation and allowing for suboptimal results during development can lead to valuable insights. Iterative improvements and a willingness to learn from failures are critical for building robust AI systems.

Culture of Experimentation 🚀: A successful AI-driven organization fosters a culture that tolerates smart failures and embraces unpredictability. This requires adaptability, continuous learning, and a focus on evolving processes and tools.

Non-Technical Backgrounds in AI 🛠️: Breaking into AI doesn’t require a technical degree. Strong critical thinking, user empathy, and problem-solving skills, combined with collaborative approaches, can drive success in technical fields.

Advice for Aspiring AI Product Leaders 🌟: Continuous learning is essential. Building expertise in AI starts with self-education, hands-on experimentation, and seeking opportunities within existing roles to explore AI-driven projects.

THE SHOW

Weekly conversations with the AI’s top product leaders. Join Polly Allen as she discovers the paths to success in the world of AI.

THE LINKS

Have a question you want us to answer? Send it through to support@aicareerboost.com

Nico Posner

LinkedIn: https://www.linkedin.com/in/nicoposner/ 

My links

LinkedIn: ⁠https://www.linkedin.com/in/pollymallen/⁠ 

AI Career Boost: ⁠https://www.aicareerboost.com/⁠