Shipping companies can boost operations across the board by leveraging the power of technologies such as Artificial Intelligence, Machine Learning, and Predictive Analysis. The big game-changer can be real-time freight analytics. It provides the vital clarity needed in the complex supply chain ecosystem of the shipping industry.
Azure Data Lake is a data storage and analytics platform with highly scalable features. Find out how this service can help your organization manage your database better.
The transportation industry is one of the industries where technological innovations can be felt in a very tangible manner. You can practically ‘see’ how digital transformation and modern technologies are revolutionizing the way the logistics industry works. From land based transportation to maritime and air-freight: all the three main aspects of the logistics industry are getting reshaped by digital transformation.
The logistics industry, like many others, has seen dramatic transformations with the advancement of new technologies such as Big Data and Artificial Intelligence (AI). Warehouse automation, smart roads, and predictive analytics are examples of technologies and automation in shipping industry that are fast becoming the new norm in the modern world.
Every new technology comes with promises and pitfalls. It is crucial that organizations follow best practices pertaining to technology to avoid these pitfalls. Azure Data Lake entails some best practices. Here are 5 major ADL best practices that you should follow.
AI in maritime industry is still in its nascent stage. Automated systems are not being leveraged much. Fortunately, the scene is changing fast. We can see an uptick in the upgradation of maritime technology and the introduction of the IBM Mayflower is going to be an epoch in this journey towards Maritime Automation.
AI can hugely benefit the shipping industry and increase its efficiency while lowering the cost of operations. Maritime logistics is an industry where timing is extremely crucial for successful operations. AI systems can enhance predictive capabilities to streamline operations and prevent bottlenecks with the help of real-time analytics and predictive scheduling. Furthermore, to automate processes in the shipping industry, we need AI as well.
The two eminent platforms for Big Data processing are Hadoop and Spark. Both Spark and Hadoop help us to deal with the immense collection of data irrespective of the format