Logistics providers have been relatively slow in embracing artificial intelligence and machine learning. Now, the technology is finally beginning to have an impact on key business decisions throughout the industry.
Imagine being able to know not only where everything is exactly, but its condition, and what has happened to it along the way. The implications are enormous — temperature can be monitored and adjusted en route, unexpected delays can be determined and corrected, and deliveries to the wrong location can be found and quickly corrected. A much more efficient supply chain is on the way.
The past 12 months or so continued a multiyear streak of data breaches, identity thefts, phishing incidents, ransomware attacks and other malware intrusions that have cost organizations billions of dollars and damaged credibility throughout the world. That’s the bad news.
Gartner, Inc. forecasts worldwide enterprise security spending to total $96.3bn in 2018, an increase of 8 percent from 2017. Organizations are spending more on security as a result of regulations, shifting buyer mindset, awareness of emerging threats and the evolution to a digital business strategy.
At Deutsche Post-DHL’s 2017 "Innovation Day" at its Bonn, Germany, Innovation Center, the winners of a series of technology "challenges" introduced new products, including autonomous warehouse robots, an online platform for package drop-offs and an internet of things (IoT) approach to online shopping, among other new logistics offerings.
Not much time passes these days between so-called major advancements in artificial intelligence. Yet researchers are not much closer than they were decades ago to the big goal: actually replicating human intelligence. That’s the most surprising revelation by a team of eminent scholars who just released the first in what is meant to be a series of annual reports on the state of AI.
As the holiday season quickly approaches, it’s a good time to prepare. Unfortunately, with an ever-increasing amount of data, an increasingly complex and varied competitive landscape and demanding customers, the question is often: Where to begin?
