Some 71% of US retail decision-makers have invested in data and AI-enabled content for personalization, according to an August 2023 survey by Coresight Research. As more brands adopt AI to scale tailored content, they’re also confronted with the challenge of protecting—and respecting—their audience’s privacy. Here are three ways—and real-world examples—retailers can implement AI without overstepping customer boundaries.
Microsoft and Intel mint $15 billion deal, taking aim at Nvidia: Intel will produce custom chips for Microsoft. Nvidia keeps cashing in on AI, but industry alliances could throttle its growth.
The New York Times finds a use for AI in advertising: The news publisher is developing AI ad targeting tools in the hopes of solving a longtime industry problem.
On today's podcast episode, we discuss what will influence digital ad spending this year, who's the "dark horse" ad player of 2024, and how the CMO role and marketing departments will change. "In Other News," we talk about what to make of Google's latest AI creation called Gemini and some research explaining how often AI chatbots make things up. Tune in to the discussion with our analyst Yory Wurmser.
Google’s Gemini AI is facing criticism for historical image inaccuracies, highlighting genAI’s limitations and biases. The errors could deter wider adoption as companies rush to commercialize.
Tech job seekers are stressed: Taxing application requirements force candidates to showcase highly technical work without pay, pointing to an industry that’s no longer catering to human talent.
The generative AI service starts spewing nonsense, underscoring the fragility of adopting technology that’s still a work in progress.
On today's podcast episode, in our "Retail Me This, Retail Me That" segment, we discuss what AI can do for retail, who the biggest players are, and if hyperpersonalization is something people even want. Then, for "Pop-Up Rankings," we rank four promising examples of AI in retail. Join our analyst Sara Lebow as she hosts vice president of content Suzy Davidkhanian and analyst Carina Perkins.
Google continues its generative AI blitz: A new Gemma family of models and Gemini business solutions are part of a litany of AI releases that are simultaneously useful and dizzying.
Groq helps ChatGPT feel like a natural bot: The startup’s chips could supercharge the AI sector by making chatbots think and respond faster. Their lower costs could be a blow to Nvidia.
On this podcast episode, we explore the deployment of AI in payments in 2024. First, we discuss the most impactful use cases for AI in payments, such as fraud detection and prevention, false declines and purchase conversion, B2B payments, enhanced customer service, and digital wallets. In our "For Argument’s Sake" segment, we rank these use cases in order of impact and debate our decisions. Join the conversation with host Rob Rubin, our analyst David Morris, and Angela Murphy, PhD, client partner at Persistent Systems.
Apple targets a sales revival with iPhone 16 launch: True to CEO Tim Cook’s word, generative AI will be baked into Apple’s latest devices to help boost profits after lackluster iPhone 15 performance.
Unveiling Magika as an open-source model for cybersecurity, plus investing in global standards, emphasizes Google’s role in AI safety.
Google’s Gemini Pro 1.5 is powerful and confusing: After a recent release and rebranding, Google is showing off another accomplishment in the AI race. Consumers might not care.
Marketers are wary of AI-powered creative, but not productivity: Companies’ new features flesh out AI’s value as a professional tool rather than a creative one.
It surpassed Alphabet with a $1.8 trillion valuation, driven by AI hardware demand. Investments position Nvidia as a central figure in AI.
OpenAI's Sora transforms text prompts into quality videos: Marketers get a new tool for dynamic, personalized content creation.
OpenAI to take on Google directly with a search product: Generative AI can enhance search and introduce new problems. Google’s vast search market advantage will be tough to surpass.
Google wants to boost internal productivity with Goose AI: Releasing the coding software internally could be an initial step in what could become a full-fledged product launch.
Fifty-seven percent of B2B marketers said creating the right content is a challenge.