#supply-chain-optimization

#supply-chain-optimization

A common perception is that AI adoption requires specialized data scientists or massive upfront infrastructure investments. In reality, the true value of modern AI lies in its ability to solve common, costly operational challenges that affect nearly every organization. AI can analyze vast amounts of data far faster than human teams, delivering predictive insights that optimize supply chains, streamline administrative work and improve decision-making across departments.

At Sanofi, AI has shifted from experimentation to becoming a vital part of our infrastructure. It now powers our R&D decisions, our supply chain and manufacturing processes, and most importantly how we discover and develop medicines. All businesses that have implemented AI in an impactful way face challenges, such as skills gaps and uncertainty, but you move beyond that by embedding AI deeply into teams and systems. This enables AI to become a key, reliable source of sustained productivity and innovation.

It's no secret that artificial intelligence (AI) has already had a significant impact on businesses -introducing new levels of automation and challenges for leaders to overcome. Until now, it's been largely confined to screens and data centers, but we are witnessing this technology advance beyond the digital world right before our eyes. In manufacturing, sensors and AI-driven analytics allow factories to anticipate maintenance before breakdowns occur, and in healthcare, smart diagnostic systems accelerate detection and personalize treatment.

This visionary project... redefined operational standards through AI innovation, establishing new benchmarks for supply chain resilience, efficiency, and automation.