Is GenAI really like teenage s8x?

Hey guys!

It’s been a while, but a lot has been happening in the Applied Intelligence world.

Here’s what I’ve got for you today:

• This is why your Gen AI project is failing

• Podcast: Is disruption always a good idea? The future of brands and AI with David Shing

• Google AI course in 10 minutes

This is why your Gen AI project is failing…

Gartner dropped a bombshell: over 30% of the generative AI projects piloted today will fail by next year. It’s a bold prediction, but what does it mean for enterprise organizations?

We’ve seen it before: a shiny new technology comes along, and suddenly, everyone’s desperate to get in on the action.

Remember the hype around big data? Everyone said they were doing it, but few really knew how to make it work.

It’s the classic case of, well… teenage sex: lots of talk, little real understanding.

But generative AI is different.

Deploying it isn’t the issue—it's surprisingly easy to implement.

The challenge lies elsewhere: strategic execution and avoiding the pitfalls of pilot projects that lack direction.

My take? If you’re in CPG and you’re not actively exploring generative AI, you’re already falling behind.

This isn't just hype; it's a paradigm shift.

The question isn’t whether to use it but how to wield it wisely before your competition leaves you in the dust.

I’ll be talking a lot more about how to avoid common Gen AI pitfalls, so stay tuned 🔥

THE IAI ACADEMY

Google’s AI course for Beginners (in 10 minutes)!

Still a bit confused about some of the fundamentals of AI?

In this video, Jeff Su breaks down the fundamentals of AI, Machine Learning, and Deep Learning, and how these technologies power tools like ChatGPT and Google Bard.

You’ll learn:

• The hierarchy of AI fields, from Machine Learning to Deep Learning.

• Real-world examples of supervised vs. unsupervised models.

• How neural networks and semi-supervised learning detect banking fraud.

• The difference between generative and discriminative AI models.

• The role of Large Language Models (LLMs) in customizing AI for industry use.

Check out the video for a 10-minute crash course that simplifies complex concepts with practical insights.

IN CASE YOU MISSED ME…

Is disruption always the answer? The future of brands and AI

In this episode of Applied Intelligence, I sit down with the ever-insightful David Shingy, whom I met at Cannes Lions. We cover:

• Defining Life’s Chapters: Shingy shares his life story in five captivating chapters, from a childhood accident to becoming a creative force in tech and media.

• Tech Trend Forecasting: He discusses why predicting trends is more complex today, with tech adoption curves resembling rockets rather than gradual slopes.

• Creativity vs. Data: We explore the balance between intuition and data-driven decisions, including why taking risks in marketing, like Snickers’ iconic campaigns, often pays off.

• Niche Audiences at Scale: Shingy shares how brands like Patagonia and Oatly master niche marketing, using creativity to connect deeply with their core audience.

• Staying Present and Productive: Insightful advice on balancing work and life, and the importance of true presence in a tech-driven world.

Listen in to discover how to merge creative intuition with tech innovation—and maybe rethink your approach to brand transformation.

SPOTTED IN THE WILD

I want to hear from you!

What did you think of today’s email? Reply and let me know!

Thanks for reading!

See you next week.

Imteaz & the Applied Intelligence team