Peter Gostev of Moonpig - Navigating the AI Revolution

"Navigating the AI Revolution" - In this insightful episode, Andrew Gaule (www.linkedin.com/in/andrew-gaule-6a7120) sits down with Peter Gostev (https://www.linkedin.com/in/peter-gostev), the AI lead at Moon Pig, to discuss the profound impact of AI on businesses. Peter shares his experience and perspectives on leveraging AI for innovation, process redesign, and enhancing customer experiences in the retail sector. From overcoming implementation challenges to embracing continuous experimentation, this conversation offers valuable insights for organisations seeking to unlock the full potential of AI. Further details below. You join an AI Academy program see Aimava Eventbrite. https://www.eventbrite.co.uk/o/aimava-global-advisory-firm-11938296163 To book a meeting to discuss entrepreneurship, AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min? You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt Subscribe for future interviews.  See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw Key Topics and Main Points: AI Impact on Businesses Expectations often outpace reality Need to redesign processes with AI in mind Potential for innovation and customer experience improvement AI Adoption Challenges Tacit knowledge required for effective implementation Precise process documentation needed Mindset shift: employees as AI model managers AI Potential and Limitations Continued improvement expected, but AGI still distant Struggles with nuanced domains like humor and local culture Excels at tasks infeasible for humans at scale Vendor Landscape and Partnerships Important vendor choices and partnerships Vendor lock-in may not be a significant issue Measuring AI Performance Traditional metrics like cost reduction apply Subjective domains challenging to measure Human evaluation may be required AI and Creativity Currently lags behind top human professionals Can generate numerous ideas at scale Process and People Changes Precise process documentation crucial Employees transition to AI model managers Data Management Data quality and availability remain important Potential to circumvent data issues with AI models Cultural Nuances AI struggles with local references and idioms Training on nuances is difficult Embracing AI Experiment and think beyond current limitations Imagine processes previously unfeasible Continuous learning and adaptation required To book a meeting to discuss entrepreneurship, AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?