In response to the COVID-19 pandemic, supply chain leaders have stepped up their digital transformation efforts.

 Division's goal is to build resilient supply chains with machine learning and AI.

The cyber-insurance market, battered by a rash of pandemic-era ransomware attacks, is making a comeback.

There’s never been a better time to learn how to identify supply chain risks, gain the agility needed to deal with various supply chain scenarios, and act quickly when an issue arises.

Digitization efforts across manufacturing have created new opportunities with digital twins, predictive maintenance and cloud systems. And while these technologies are changing the industry, we have an opportunity to do more.

A digital twin is a continuously updated, virtual representation of the physical warehouse that tracks assets and inventory, orchestrates staffing and workflow, and tests future scenarios in real time to improve performance and resilience.

Supply chains need to look at technologies that can impact efficiency and productivity across multiple functions and tasks. One often-overlooked technology is wireless network connectivity.

Dag Calafell, director of Azure solutions with MCA Connect, talks about the company's three-part series about real-life, low-code solutions that empower manufacturers to do more with less.

In a highly connected and digital world, fragmented supply chains simply don’t work. Organizations today require end-to-end visibility, to compete and navigate the challenges that have recently plagued global businesses.

Supply chain partners have never had greater access to tools for data collection and analysis than they do now, but many are failing to take full advantage of these resources.