Category: Ad Industry Trends
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Gpt Bing is not Ready – And Users Will be Awed anyway
A lot of talk in the industry about how @Microsoft launched the #ChatGPT even though it is not ready and gives false answers. Or how Microsoft’s “GPT Bing” demo was full of errors and was not called out, but @Google was for just one error in their demo. It’s just a bump in the road.…
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Large Language Models Are Coming For Search
After playing with OpenAI’s #ChartGPT, I think the most immediate impact that this tech will have on advertising is that it will replace search ads. I would be surprised if there weren’t any crisis meetings at Google HQ right now on how to fast-track some kind of DeepMind application to replace Search as we know…
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Yahoo! Restructuring: For Buyers and Pubs, Upsides and Downsides
For both buyers and publishers, Yahoo‘s restructuring has upsides and downsides. For brands and agencies, it might increase Yahoo’s audience reach and amount of available inventory, while at the same time, net-net, likely increasing ad prices because of greater competition on the demand side. For publishers, the restructuring will likely increase revenue due to greater…
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LLM-Search Hybrids: So Far, Announceware Only
Just a TL;DR on where we are at with large language model-search hybrids: All we have so far is announcements and no products. Availability of #LLM search-hybrids: Microsoft, Baidu, Google Reinvent Search Using Large Language Models
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What’s Missing In Retail Media
Great overview by AdExchanger’s Allison Schiff over what’s missing in the fast-growing #retailmedia segment: “better measurement, more transparency, and (…) standardization.” Standardization is an issue because each RM network is its own walled garden. 85% advertisers feel pressured by retailers to buy from the latters’ RM networks according to the @ANA – a digital version…