Today’s analytical requirements are putting unprecedented pressures on existing data infrastructures. Performing real-time analytics across operational and stored data is typically critical to success ...

Hybrid transactional/analytical processing (HTAP), or hybrid operational analytical processing (HOAP), is the ability to perform real-time analysis on centralized ...

Technology providers across the financial technology sector continue expanding the use of artificial intelligence-powered analytics systems as organizations adopt automation tools designed to improve ...

Businesses can get a decent idea of how they are doing in operations by examining internal company data through reports and graphs. However, sometimes those close to the company don't review this data ...

As industry shifts to continuous biomanufacturing, engineers integrate process design, digital tools, automation, and ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

• In ecommerce, to improve the relevance of recommendation engines, retailers can benefit from continuously updating their ML model with real-time data on shoppers’ browsing activity, product and ...

It is an unfortunate result of being human that we are biased by our first impressions. For example, we are often blinded when we encounter a subject area’s data for the first time. The initial data ...

Limited remote, continuous measurement and poor instrument/software interconnectivity impede manufacturing management (enterprise) system deployment and restrict the use of analytical results for real ...