Sentence examples for multiple different tools from inspiring English sources

As for how this might be utilised in practice, Gill gives the example of customer support in the Software-as-a-Service space, specifically dealing with a customer who is having trouble upgrading, which, without People Analytics, might invariably require looking up information in multiple different tools, such as a billing system, an internal admin system, or third-party analytics tool.

From this case study it can be seen that by utilizing the camb package, a model training task which might involve porting datasets between multiple different external tools can be simplified to a few lines of code in a reproducible fashion within the R language alone.

Software that includes multiple different types of gene-finding tools for NGS data offers a potential solution.

The system can also sense different tools including foam, multiple pens types, and brushes.

Next, we analyzed protein-protein and protein-DNA energy binding affinity in protein-protein, single protein-DNA and multiple proteins-DNA complexes using several different tools.

Meta-analysis is an increasingly popular tool for combining multiple different genome-wide association studies (GWASs) in a single aggregate analysis in order to identify associations with very small effect sizes.

The methods used to study the mothers and children participating in HELIX require many different tools that cut across multiple scientific disciplines.

For one of the tools, TrueRefactor, plans were expressed to adapt the tool to be applicable to multiple different programming languages (Griffith et al., 2011).

Tools like Guesty can help owners of multiple different properties (that might span multiple tiers) turn those homes into an actual business.

It essentially serves as an on-demand tool for restaurant workers, who might find themselves already working across multiple different jobs or multiple different restaurants and are looking for a lifestyle over which they have some more control.

The goal is basically to provide businesses with a white-labeled tool to apply high-level data analysis of large sets of data pulled from multiple different sources.