The part of a sentence "ease the complexity" is correct and usable in written English.
You can use it when talking about simplifying or reducing the difficulty or intricacy of something. Example: We need to find a way to ease the complexity of this project so that it is more manageable for our team to complete within the given timeframe.
In its press release it claims that it's a pioneering move to "ease the complexity in the digital licensing space".
The Standing Cloud technology packages apps for use with cloud services to ease the complexity of deploying and managing apps.
The real opportunity seems to come with managed services providers that are offering ways to ease the complexity of running cloud services.
This paper reviews the needs and characterization of these functional gradients and the computer-aided systems used to ease the complexity of the scaffold design stage.
It's part of a growing trend to ease the complexity of data analytics so the practice is accessible to the far larger group of people who are more versed in using spreadsheets to do their work.
The company recently raised $9 million, formed a partnership with Cloud Foundry and acquired Standing Cloud, which packages apps for use with cloud services to ease the complexity of deploying and managing apps.
The objective of the document management system is to extend such sophisticate features and ease the complexities to organization users and applications.
But they like it, too, as it eases the complexity from choosing and servicing a corporate system.
Computation at the sensor, rather than in the cloud, massively reduces movement of data, and eases the complexity and cost of deploying connected devices in bandwidth-constrained areas.
The challenge of assessing vulnerability under environmental change may benefit tremendously from this methodology by easing the complexity and burden of diverse data (Eppler and Mengis 2004).
New software toolkits like CUDA and OpenCL have greatly eased the complexity of GPU programming, but there can still be a significant learning curve to achieve peak performance and to scale to large problems.
