In today's China, beating fraud and staying ethical is essential for long-term success. The post-pandemic slowdown exposes weak spots, echoing Warren Buffett's warning: "Only when the tide goes out do you discover who's been swimming naked". Companies must identify risks and strengthen financial strategies to not only survive but thrive in economic downturns.
Remember Business Objects? If you do, you might see where I'm going with this. We're heading into a period where Large Language Models (LLMs) capable of building business-level software will become increasingly commoditized. It's an impressive technological feat, sure, but it's also a potential race to the bottom. Why? Because while everyone's busy showing off their latest AI parlour tricks, they're missing the real goldmine: the data itself.
The abundance and diversity of responses to ChatGPT and other generative AIs, whether skeptical or enthusiastic, demonstrate the changes they're bringing about and the impact they're having far beyond the usual technology circles. This is in stark contrast to previous generations of AI, which were essentially predictive and generally the subject of articles or theses confined to the realm of research and innovation.
Did you recently make a significant purchase, like a new phone, car, furniture or even jewellery? If yes, then you are probably not buying them again right now, nor will you for quite a while. According to research performed by the Ehrenberg- Bass Institute for Marketing Science (2021) there is a 95-5 rule in marketing, which means that in general 5% is in-market at any given time. In other words, 5% of consumers are ready to buy at this moment.
The round table highlighted that trust in AI is essential for its implementation and adoption. This includes legal regulation, model reliability, and users' subjective trust. Without this trust, AI adoption cannot materialize.
PoCs in generative AI have proliferated, mainly in large companies. But few initiatives have been industrialized due to their complexity. Hanan Ouazan, Partner and Generative AI lead at Artefact, takes stock of the situation and looks at ways to improve in this article by Christophe Auffray, journalist at LeMagIT.
The discussion highlighted the significant challenge of AI adoption, noting that over 70% of digital and AI transformations fail due to poor data governance, quality processes, and cultural adoption. Both companies stressed the importance of embracing AI to stay competitive and ensure long-term survival. AI is essential for all sectors, with 80% of global marketers using it to enhance customer experience. The gap between AI leaders and laggards is expected to be wider than in previous digital transformations.
In today’s rapidly evolving digital landscape, Retail Media Networks (RMNs) have become an essential component of the modern advertiser's strategy. During a recent webinar with mediarithmics, Zitcha, and Artefact, we explored why RMNs are so valuable for advertisers and, crucially, how to select the right RMN to maximize results.
Measuring and optimizing marketing ROI is a challenge for many companies, with 70% of marketing executives struggling to do so effectively.
