Machine learning has already helped us get to where we can manage 10 times as much data, with one-tenth the people and in one-tenth the time.

Embracing AI and machine Learning Machine learning techniques are used across industries in various areas of the supply chain. It is important to note that there are several applications of ML ...

Putting artificial intelligence and machine learning into practical use for knowledge management purposes promises to transform organizational efficiency and competitiveness.

Curriculum Overview Build In-Demand AI Skills Through Hands-On Learning Prepare yourself for a career in technology or learn to incorporate AI skills into your current role. Build technical skills in ...

Machine learning models A wide choice of models is available to use in machine learning and for edge applications such as battery management. A simple classification decision tree might suffice as it ...

There's a surprising trick for greatly increasing the chances of real impact, true success with many types of machine learning systems, and that is 'do the logistics correctly and efficiently.' That ...

CIOs are looking to implement master data management (MDM) solutions to streamline the rapidly growing complexity and distribution of data.

Risk-based quality management is a data monitoring approach that accelerates the drug development pathway without compromising on safety – and one that is enhanced by the use of technologies ...

Organizations hoping to leverage AI and machine learning (ML) within their MDM strategies face a crucial decision: prioritizing advanced analytics or end-user adoption first.

Businesses need better planning to make their supply chains more agile and resilient. After explaining the shortcomings of traditional planning systems, the authors describe their new approach ...