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Coca-Cola and Google Harness AI for B2B Sales and Search Advertising

PLUS: AI's High Electricity Consumption

Greetings, curious minds!

Join us for a captivating expedition through the latest in AI in edition #22 of The Hidden Layer.


Today's AI Headlines:

  • Coca-Cola Boosts B2B Sales with AI Recommendations

  • Google Explores New Ad Types in AI Search

  • YouTube Music Offers AI-Generated Playlist Art

  • AI's High Electricity Consumption

Coca-Cola Leverages AI Personalized Recommendations to Boost B2B Sales

Coca-Cola is using AI to increase sales to business customers. Its eB2B platform prompts customers with AI-generated messages tailored to them. Early tests show customers receiving AI prompts are more likely to buy recommended products, driving sales.

Coca-Cola aims to digitize relationships with smaller B2B customers like AI is doing with major retailers. This provides deeper, more productive relationships. AI recommendations build on digitization to optimize sales. The company sees potential to expand AI use to boost its B2B business.

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Google is actively looking to insert different types of ads in its generative AI search

Google confirmed it is working on new ad formats for its AI-powered search experience. Google CEO Sundar Pichai said the company will experiment with customized native ads for every step of the AI search journey.

Google introduced its AI search experience earlier this year and has shown example customized ads within it. The new native ad formats could help Google maintain ad revenue as it transitions to AI search. The company reported $76.69 billion revenue for Q3 2023, with most from ads.

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AI Spotlight

Prompt of the Day: 

What are the best practices for creating a compelling employer branding strategy that appeals to [Target Demographic and  [Job Role]?

Target Demographic = [Insert here]

Job Role = [Insert here]

Decoding AI: Your Questions Answered

What is Monte Carlo Method?

The Monte Carlo Method is a statistical technique used to estimate complex problems through random sampling. Imagine you want to know the average number of goals in a soccer season without watching all the games. You could watch a few random games and calculate the average number of goals, using this as an estimate for the entire season. The method is widely used in various fields, from finance to engineering, to make approximations for complex problem.

Thanks for joining us for Edition #22 of The Hidden Layer. Curious about how AI impacts society or business? Your questions could shape our next edition.

Until next time,



Best,
The Hidden Layer Team

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