Archaeologists often face major challenges when trying to connect new discoveries with information from old books: How can ...

SiC trails behind the mature silicon industry in adopting advanced analytics and streamlined yield management systems (YMS).

“The truthfulness or reliability of the data, which refers to the data quality and the data value. Big data must not only be ...

Systematic investing is an active approach to investing that emphasizes data-driven insights, scientific testing of ...

EXL is making its big debut at Cannes Lions– even though the company has been around for 26 years. The global analytics and ...

Data analytics has become a game-changer for companies looking to make smarter, faster and more strategic decisions. By turning raw data into actionable insights, finance teams are improving ...

AI-driven digitalization applications are a new approach that many utilities and grid operators are actively pursuing. Some ...

Speedata, provider of an Analytics Processing Unit (APU) is designed to accelerate big data analytic workloads, today announced the launch of its breakthrough chip as well as the closing of its $44 ...

Databricks and Redshift are two powerful data management solutions ... looking to analyze and process large volumes... eWeek has the latest technology news and analysis, buying guides, and product ...

At its annual summit, Snowflake announced Openflow, a data ingestion service that can integrate any data type from virtually any data source.

they generate an enormous amount of data—so often termed "big data." This is where Artificial Intelligence (AI) steps in. AI is instrumental in processing the enormous amounts of data produced ...

(TechRepublic) Data science features a unique process with various steps. Data scientists must ... and best practices about data science, big data analytics, artificial intelligence, data security ...