Cybersecurity Causing Sleepless Nights for Risk Managers, Part 2
As I noted in Part 1 of this article, supply chain risk managers have plenty on their minds to keep them up at night; but, cybersecurity risks surely cause their share of
Bradd C. Hayes is the active editor of this blog.
As I noted in Part 1 of this article, supply chain risk managers have plenty on their minds to keep them up at night; but, cybersecurity risks surely cause their share of
Supply chain risk managers have plenty on their mind to keep them up at night. With the European Union’s General Data Protection Regulation (GDPR) coming into effect, cybersecurity risks have suddenly risen
Nearly two decades ago, the business world was in the midst of the dot.com bubble. E-commerce was just getting it legs and new business models were being developed. People were so intrigued
There has been a lot written about blockchain technology this past year as people realize its potential goes far beyond use in cryptocurrencies. When it comes to the technology, both the blocks
People continue to flock to cities looking for work and a better way of life. This migration from rural to urban areas is stressing cities like never before and making the wise
Omnichannel retail operations are well on their way to becoming the norm. Consumers now take the digital path to purchase more often than not; but, they don’t care what retailers call their
Logistics providers probably look longingly on the days when the last mile of the supply chain primarily meant delivering goods to the store in which they were sold. In today’s retail environment,
Disruption is normally anathema in the supply chain. Formally defined as a disturbance or problem that interrupts an event, activity, or process, disruption means a supply chain that was once functioning smoothly
Like most people working STEM fields, IBM researchers believe technology has the potential to change the world around us in profound ways. Annually, members of the IBM Research team showcase what they
As digital streams drained into oceans of data, a new age was born — the Digital Age. It is no coincidence that machine learning matured rapidly in this new age. Ishan Gupta
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