From improving project efficiency and streamlining operations to enhancing safety measures and maximizing resource utilization, the impact of big data in construction is profound. Big data analytics ...

Big Data technologies are bringing about an industrial revolution, offering novel solutions in managing, analyzing, and making use of the ocean of information created ...

The market was embracing Kubernetes while migrating toward microservices architectures, and Pepperdata saw an opportunity to move optimization on the big data side into the microservices world.

Recent information from the National Intellectual Property Administration shows that Zhongrun Zhikong Smart Parking Technology Co., Ltd. applied for a patent titled "A Smart City Parking Resource ...

Data analytics has the potential to revolutionize decision making, product innovation and operational efficiency in various industries.

If they’ve used Big Data to any degree, it’s hard to find a company that doesn’t extoll its virtues for predictive and real-time insights. Industrial Big Data in particular—specifically the large and ...

The ability to collect and analyze data from machinery enhances decision-making, optimizes operations, and improves quality control.

The core of this patent lies in utilizing big data and machine learning algorithms to achieve lifecycle management of venue operations. The main processes include: Multi-source Data Integration: ...

The use of big data and data analytics in accounting can help streamline and optimize the processes involved, enabling businesses to automate and meet compliance requirements.

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space.

Data Poem, a developer of cutting-edge artificial intelligence models for business orchestration, today announced the launch of POEM365, a large causal AI model designed to transform how large ...

Inverse optimization refers to the inference of unknown parameters of an optimization problem based on knowledge of its optimal solutions. This paper considers inverse optimization in the setting ...