Sentence examples for many data analytics from inspiring English sources

Data reads and writes in many data analytics workflows are guided by the RUM conjecture (Read, Update, Memory (or storage) overhead) [7] that characterizes the challenge of reducing overhead data being read, updated and stored (in memory, cache or disk).

Novelty detection is an interesting research topic in many data analytics and machine learning tasks ranging from video security surveillance, network abnormality detection, and detection of abnormal gene expression sequence to name a few.

Where many data analytics projects fall short is in recognizing that to achieve true business impact, change needs to be driven as an end-to-end transformation, where business problem definition, analytics modeling, data platform, technology and operations implementation are tightly integrated.

This big data era presents challenges to many conventional data analytics research directions including data capture, storage, search, sharing, analysis, and visualization.

Since many kinds of data analytics frameworks and platforms have been presented, some of the studies attempted to compare them to give a guidance to choose the applicable frameworks or platforms for relevant works.

Many companies have built data analytics teams.

There are many small ways that data analytics can lead decision making astray.

Too many of today's data analytics services lack the intuitiveness so important in today's market.

Many even felt that data analytics and measurement technologies have as much potential to affect business' environmental impact as certain environmental policies and regulations.

It is an ancient industry that, like many, is fast using data analytics for research and development, analysis of markets and communications with customers.

Like many industries, AI and data analytics are transforming healthcare in Brazil and beyond from improving the speed of patient diagnoses to managing healthcare costs.