"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.
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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
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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?
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