Customers need results at the speed of their missions. Modern programming languages and concepts make it possible to develop many solutions on-demand, in response to operational needs on the timeframe of hours or days rather than months or years as in traditional development methodologies.
The average algorithm enables users to get to the results they want 100x-1000x faster than the best available manual process—if one even exists.Engility teams develop dozens of algorithms each year to solve our customers’ most challenging problems using Engility’s Methodology Engineering and Impact-Driven Development. The average algorithm enables users to get to the results they want 100x-1000x faster than the best available manual process—if one even exists.
At the same time, our teams maintain a laser focus on getting to those outcomes, making smart planning tradeoffs to minimize project risk and create reliable solutions. In one notable case, an Engility team’s algorithm outperformed a competitor’s in under a quarter of the development time by “failing fastest”—finding ways to test on real mission data early so good methods can be identified quickly.
Engility recognizes that our customers need the right solutions, right away—and using our bottom-up, mission-centric algorithm design approach, we can reliably deliver those solutions against even the most challenging problem sets.
Modern computing is complicated, but here are a few useful definitions:
Techniques mirroring or mimicking an aspect of human thought, particularly including self-improvement with experience.
An interdisciplinary field combining elements of machine learning, data analytics, big data and cloud computing.