AUDIENCE STRATEGIES - David Boyle, Founder. Will ChatGPT put you out of a job in 5 years? The learning rungs you should master right now; how to get the most out of prompts & enhance proposals; how insights are used in the music business.

Delighted to have on David Boyle, the founder of Audience Strategies and the co-author of PROMPT for Brands, a practical guide to using ChatGPT.  https://prompt.mba/products/prompt-ebook

 David draws on a wealth of agency and client side experience across retail and media with the likes of Harrods, Tesco, BBC Worldwide, EMI Music and Harper Collins to summarise here the pros, the cons and the practical implications of using generative AI solutions right now in the research & analytics process.  And if that's not enough.... find out how data & insights have helped guide the careers of artists like  David Guetta and Tine Tempah. 

Among other areas, we cover.... 

• What makes a good segmentation?
• Using insights in the music business
• The importance of process and Phase Zero planning
• Is ChatGPT going to put researchers out of a job? 
• The key learning rungs for effective use of ChatGPT in the insights process
• How to get the most out of prompts and enhancing proposals
• Weakness of ChatGPT
• Practical resources for researchers

And David's  book recommendations:

HOW MINDS CHANGE - David McRaney

All episodes available at https://www.insightplatforms.com/podcasts/

Suggestions, thoughts etc to futureviewpod@gmail.com

Chapters

• 0:52 Guest intro
• 2:13 Why process is key to getting great insights
• 4:13 What makes a good segmentation?
• 6:59 David's path through the industry
• 8:15 Transforming the use of research at EMI Music
• 14:20 Is Chat GPT going to put researchers out of a job?
• 18:26 The key learning rungs for effective use of Chat GPT during the insights process
• 21:18 How get the most out of prompts & enhance proposals
• 24:57 What are the best resources for researchers?
• 27:25 Is generative AI too derivative?
• 32:58 What are the drawbacks of using Chat GPT?
• 35:03 Is proprietary data at risk within open source models?
• 37:46 Using Chat GPT for analysis/ deliverables
• 42:14 Quickfire round