The drive to stay agile and profitable in the face of relentless chaos is one reason more companies are tearing down departmental silos and leaning into cross-departmental planning.

For supply chains, artificial intelligence offers new paradigms and approaches, delivering streamlined processes and results that are unprecedented.

Data privacy and overcoming employee resistance are the two main sources of anxiety for companies investing in artificial intelligence.

Just like a GPS is useless without reliable location data, AI and automation fail when execution data is inaccurate, delayed, or incomplete. In this session, Anand will break down why data quality is the hidden foundation of resilient, AI-ready supply chains. 

As disruptions grow in frequency and complexity, forward-looking supply chain leaders are prioritizing long-term transformation to build resilience and agility.

The big box retailer says that it's also using generative AI to comb through social media and sales data to identify the products customers in certain regions want most.

Hospitals can’t control tariffs, raw material shortages, or geopolitical uncertainty, but they can control how their systems respond to disruption.

With the integration of AI, enterprise leaders have a once-in-a-generation opportunity to build smarter, more resilient supply chain operations.

TSMC reported a more than 60% year-over-year increase for its profits in the second quarter of 2025, and is projecting a 38% year-over-year revenue increase in Q3.

Even traditional automation of assigning HS codes, in the form of digitally stored and searchable codes, is of limited utility. Enter artificial intelligence.