Danone Collaborates with Microsoft to Accelerate Artificial Intelligence (AI)

Danone announced it is exploring a multi-year collaboration with Microsoft to integrate artificial intelligence (AI) throughout Danone’s operations.

Through the collaboration, the companies intend to launch a Danone Microsoft AI Academy,
dedicated to upskilling all Danone employees to ensure that all Danoners are equipped with
the AI and digital tools they need to thrive in the new AI-driven economy.

It builds on Danone’s recently launched ‘DanSkills’ programme, which aims to upskill and reskill
around 100,000 Danone employees to the jobs of the future and attract new talent. 50,000
Danone employees can already leverage AI in their day-to-day job, using tools like Microsoft
Copilot.


The Academy intends to provide a wide range of learning opportunities designed to enhance
AI literacy and expertise across the organization, benefiting all employees. This includes
initiatives tailored to various employee groups to ensure comprehensive training coverage.

Through the collaboration with Microsoft and other institutions, Danone aims to create a
dynamic and inclusive skilling environment that evolves with workforce needs. The program
also aims to promote collaboration and innovation, reinforcing Danone’s commitment to
empowering its employees with essential AI skills and preparing the Company for future
challenges.


The collaboration with Microsoft aims to empower Danone with cutting-edge AI solutions and
build use cases for all of Danone’s functions. Initially, the companies will explore creating an
AI-enabled supply chain to:

  • Develop digital twinning of core skills to assist data driven decision making by core
    professionals in Danone’s procurement, production and distribution teams.
    Danone and Microsoft will embark on a journey of learning, performance, innovation, and
    value creation, with the common goal of empowering employees to get the most out of AI
    and unlock new capabilities.
  • Elevate operational efficiency, enabling a smarter, more responsive approach to
    managing logistics and manufacturing through predictive forecasting, real-time
    adjustments and streamlined operations.

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