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Advanced Robotics Developments Produce Game-Changing Innovations for Material Handling Industry

Coupling the advances in computer vision with the increase in computing power and adding the advances in machine learning and artificial intelligence, robotic systems are becoming more capable every day especially in material handling.

Latest Artificial Intelligence Posts

Coupling the advances in computer vision with the increase in computing power and adding the advances in machine learning and artificial intelligence, robotic systems are becoming more capable every day especially in material handling.

The much-anticipated Amazon Go check-out free grocery store will open its doors to the public today, having weathered challenges that delayed its launch by almost a year the enhanced AI-driven technology appears ready for the Seattle masses.

DHL Global Trade Barometer derives predictions for global trade by evaluating large amounts of logistics data with the help of Artificial Intelligence.

I get a kick reading “prediction” articles both prior to the year start and then again after the year is complete...when it comes to predicting the very dynamic supply chain management industry, those after year reviews can be quite amusing.

It’s time for the logistics industry to start looking seriously into an autonomous future with driverless trucks leading the way, the question is, are we ready?

This paper details how Informatica’s CLAIRE engine - or Cloud-scale AI-powered Real-time Engine - which uses artificial intelligence and machine-learning techniques powered by enterprise-wide data and metadata, significantly boosts the productivity of all managers and users of data across an organization.

David Cearley, vice president, and Gartner Fellow details the Gartner Top 10 Strategic Technology Trends 2018 including artificial intelligence, immersive experiences, digital twins, event-thinking and continuous adaptive security.

This white paper looks at the fundamentals that supply chains need in place in order to achieve real results from Artificial Intelligence implementations.

In the race to use AI, many companies have made attempts to implement it, but the results have been disappointing, and despite its benefits when looked at through the lens of a supply chain executive, AI is relatively useless unless it’s able to add value to support better decision-making.

Create a modern supply chain that is transparent, intelligent and predictive, establish greater visibility into supply chain data and processes and by leveraging cognitive technologies, supply chain organizations can both predict and mitigate disruptions and risks and deliver more value to the business.

Watson, Wimbledon’s first AI tennis pundit, has been searching for insight into what makes a great Wimbledon champion by studying sixteen singles champions and eight doubles pairs, along with statistical analysis of 53.7 million data points, it has studied 22 years of sports commentary, read over 11.2 million words, considered the perspective of tennis experts and coaches, all told, 28 years of Wimbledon data.

Infor has announced Coleman, an enterprise-grade, industry-specific AI platform that takes mission-critical business data from Infor CloudSuite, coupled with the supplier, logistics, and finance data from the GT Nexus Commerce Network, and analyzes it with the computing power of a hyper scale public cloud.

Three years after Amazon launched the Echo and six months after Google launched its $109 Home, Apple today unveiled a Siri-powered smart speaker called the HomePod, the speaker is a gateway to other Apple products, and a showcase for Apple’s voice AI assistant, Siri.

Machine learning is a disruptive approach to forecasting, and retailers running complex omni-channel businesses in highly competitive markets must give serious consideration to machine learning based forecasting.

For retailers, the ability to capture and analyze retail data to make marketing suggestions is well recognized, however, as a transformative technology, it’s no little black dress that pulls everything together, it’s actually an accessory, and the same can be said for machine learning.