Kenvue Partners with Microsoft for AI Adoption
Kenvue teams with Microsoft to scale the use of AI and genAI solutions and overhaul digital operations.
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Kenvue, maker of consumer health products like Tylenol, Neutrogena and Listerine, has announced a five-year collaboration with Microsoft which aims to establish a strong foundation for transforming digital operations through AI technologies.
These include machine enabled collaboration, predictive analytics, smart agents, digital twins and generative AI.
Over the next five years, Kenvue will scale its use of Microsoft Azure to capitalise on its range of services including data analytics and AI. The integration of Azure services aims to enhance predictive capabilities and human machine collaboration. In addition, Kenvue aims to drive innovation, refine go-to-market strategies, enhance customer experiences, and optimise commercial operations.
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“This exciting collaboration will help Kenvue on its journey to becoming the undisputed leader in consumer health,” said Bernardo Tavares, Chief Technology & Data Officer at Kenvue.
“Harnessing the power of data and AI at Kenvue equips our teams to accelerate product development, optimise decisions, and create seamless, personalised consumer experiences, all while keeping consumers’ privacy and trust at the forefront. By transforming our digital operations, we expect to create predictive business solutions and win more consumers every day.”
Shelley Bransten, Corporate Vice President, Global Industry Solutions at Microsoft, said, “This collaboration showcases the transformative potential of AI, and together, we are dedicated to building a future where predictive capabilities and human machine collaboration serve as powerful, trusted tools to help improve consumer health and unlock breakthrough innovations.”
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Kenvue is piloting the use of systems and tools that integrate Microsoft Azure AI, Microsoft 365 Copilot, and Copilot Studio, in connection with supply chain and operations, content creation, as well as in various productivity enhancement use cases.
