Vikrant Batra, global CMO, HP
We believe technology works best when it augments human intelligence and ingenuity. In 2024, we will leverage AI (large language models, prompt engineering, natural language processing) to digitize and automate high value, high velocity, “last mile” marketing actions, such as translation, image and video generation, auto-generation of demand generation and demand capture campaign content, social media listening and engagement, chatbots for product discovery, localization of content and a whole lot more.
Patricia Corsi, global chief marketing, digital and information officer, Bayer Consumer Health
More than implementing, as we started on AI for some years now, I am interested in scaling it up and across to other functions. During the past four years areas like the supply chain have been completely disrupted.
Using AI to support the reinvention of this area is complementary to the marketing AI revolution, as it all happens to the service of consumers. Using AI for efficiency only is a missed opportunity. I am extremely interested in continuing to learn the immense possibilities, implications and risks of generative artificial intelligence through pilots and use cases.
Soyoung Kang, CMO at beauty brand eos
As a leaner organization, we’re both thoughtful about where we invest and simultaneously highly reliant on technology to help our teams operate more efficiently and effectively.
Like most marketers, of course, we’re keeping an eye on the future of generative AI and its applications, particularly for social media and content creation. But our near-term focus is on two immediate areas. First, driving direct and third-party ecommerce revenue growth with tools that enable faster, more seamless, data-driven conversion. Second, we’re investing in campaign and asset management tools for better collaboration internally.
Source link
