“Most marketers want to be cutting-edge, and to be able to say that they’re exploring new technology,” Jack Johnston, associate director at Tinuiti, said about AI’s explosion into social media tools. “But our focus is not just being gimmicky and tapping into AI because it’s AI, but doing it because there’s a real business value and a positive impact that can come from it.”
HIMSS roundup—Big Tech pushes deeper into healthcare AI: A slew of firms are taking on healthcare AI, but they still need to address a huge challenge—trust.
Reddit launches Reddit Pro for businesses, offering free tools for growth ahead of IPO: Over 200 brands show early interest in insights and analytics offering in beta phase.
Investigation exonerates OpenAI CEO Altman: The report’s brevity points to continued secrecy that could make it difficult to inspire trust, even though it keeps drama at bay.
Big Tech is kneecapping academics’ AI research: A national AI hardware stockpile could level the playing field between tech and academia and help protect national security interests.
The company hopes to raise $748 million. It’s aiming for advertising profits, but it could be more valuable for its AI training potential.
LinkedIn Premium is the company’s AI proving ground: After making $1.7 billion in subscription revenues thanks to AI, the company looks to expand the tech elsewhere.
It’s Microsoft’s turn to face a genAI scandal: A whistleblower wrote to the FTC that Copilot could easily be used to generate highly alarming images.
A Georgia Tech study and a Bloomberg investigation expose AI bias and stress the urgency for inclusive, unbiased AI as its global use expands.
Meta, Google rake in ad dollars from Temu’s spending spree: Wall Street loves to see tech giants grow their ad revenue, but not all funding streams are sustainable.
Hugging Face will use its open-source AI to build robots: It’s part of a broader industry push to use generative AI to make physical robots commercially viable.
Salesforce’s new AI tools will help doctors manage patient care: The offerings stack Salesforce against other Big Tech players with AI solutions for the healthcare industry.
Consumers appreciate AI-driven innovation but are wary
Google updates its protections against AI-generated spam: The company laid out plans to deprioritize low-quality search results that game its ranking systems.
Plagiarized content farms spoof major outlets: GenAI could fuel misinformation in an election year. Publishers beware.
GenAI for marketing is gaining momentum: IBM is the latest organization to tout its ability to transform marketing outcomes.
Though apparel and accessories is the third fastest-growing product category we measure—growing 3.9% to reach $616.37 billion in US sales this year—retailers need to find creative ways to court consumers as they remain price-sensitive.
The first AGI could be a marketing tool from Meta: The social media giant is stockpiling AI chips to build a massive model for content recommendations and user predictions.
Brands need to differentiate themselves in a crowded market. AI can help. But the content needs to be personalized and trained on the brand's own data to avoid generic output. And brands need to be sure that source content has a clear voice and point of view.
New insights emerge on AI’s power hunger: The technology is energy intensive, but it’s hard to pinpoint the extent. Efficiency efforts might fall short of making the sector sustainable.