As part of the data analytics equation, it is important to clearly understand the asset’s “market mission”—a factor that will likely vary from company to company, and even asset to asset.

It involves data path optimization achieved through standard optimization techniques, including cell sizing and other logic and physical transforms. Mentor completely overhauled its dynamic power ...

The most common kind of prescriptive analysis is optimization, ... The Swiss Army knife of data analysis, current versions of the Microsoft Excel spreadsheet can store up to 1 million rows of data.

Big Data Analysis For Performance Insights: From various colossal datasets sourced from IoT devices, industrial tools and sensors, AI is able to provide actionable insights to engineers for ...

Big Data adoption in enterprises soared from 17% in 2015 to 59% in 2018, reaching a Compound Annual Growth Rate (CAGR) of 36%. Telecommunications, advertising, and insurance are the three ...

Data centers are now integrating artificial intelligence (AI) and machine learning (ML) technologies into their infrastructure to remain competitive. By implementing an AI-driven layer within ...

Analysis of the data includes simple query and reporting, statistical analysis, more complex multidimensional analysis, and data mining. The information frequently is stored in a data warehouse, a ...

Our standard SOP analysis for co-optimization focuses solely on keyword targets and the overlap in how we optimize for visibility. That said, there are several other places that synergies exist ...