"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-11938296163To 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/gaulesqtSubscribe for future interviews. See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWwKey Topics and Main Points:AI Impact on BusinessesExpectations often outpace realityNeed to redesign processes with AI in mindPotential for innovation and customer experience improvementAI Adoption ChallengesTacit knowledge required for effective implementationPrecise process documentation neededMindset shift: employees as AI model managersAI Potential and LimitationsContinued improvement expected, but AGI still distantStruggles with nuanced domains like humor and local cultureExcels at tasks infeasible for humans at scaleVendor Landscape and PartnershipsImportant vendor choices and partnershipsVendor lock-in may not be a significant issueMeasuring AI PerformanceTraditional metrics like cost reduction applySubjective domains challenging to measureHuman evaluation may be requiredAI and CreativityCurrently lags behind top human professionalsCan generate numerous ideas at scaleProcess and People ChangesPrecise process documentation crucialEmployees transition to AI model managersData ManagementData quality and availability remain importantPotential to circumvent data issues with AI modelsCultural NuancesAI struggles with local references and idiomsTraining on nuances is difficultEmbracing AIExperiment and think beyond current limitationsImagine processes previously unfeasibleContinuous learning and adaptation requiredTo book a meeting to discuss entrepreneurship, AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?