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?
Amazon.com last week announced a flurry of new machine learning features for its Amazon Web Services cloud computing business, raising its challenge to Silicon Valley’s biggest tech firms for the lead in artificial intelligence.
Dubai-based ground handler dnata, and a consortium of supply chain firms, has successfully completed a proof-of-concept test for a logistics platform that tracks supply chain transactions using hyper-secure blockchain technology. According to stakeholders in the project, the new system can eliminate redundant data and improve visibility and transparency.
In an era when online credit card fraud seems like a foregone conclusion, here’s one potential solution: Instead of trying to prevent card numbers from being pilfered on the web, simply use card numbers you don’t mind being stolen.
In the nearly 10 hours that it takes a Boeing 737 to fly from Sao Paulo to New York, its twin engines will transmit a flood of digital data roughly equivalent to 15,000 Blu-ray movies.
Environmental organizations TRAFFIC and WWF along with Hewlett Packard Enterprise (HPE) have teamed up to develop a new web-based tool to address illegal fishing.
There’s nothing new about the idea of demand planning. Phoenician wine traders, 2,000 years ago, were savvy about staying ahead of fluctuations in demand via a network of merchant informants, and planned supply accordingly. The advent of vastly expanded computer data-processing power, along with the connectivity of the web, has been offering for 20 years or more the attractive proposition of using technology to track and predict demand for goods more accurately.
The latest news, analysis, trends and solutions for big data, blockchain and the internet of things (IoT) and their impact on supply chain management. Big data describes the large volume of data that inundates a business on a day-to-day basis and can be analyzed for strategic business insights. IoT is the means that collects and sends data from a range of “things” — anything from watches to fridges to cars — that are connected to the internet with sensors or computer chips. Learn how companies around the world are using big data, blockchain and IoT for supply chain optimization and competitive advantage.
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