Leading the Way in Advanced Analytics

Leading the Way in Advanced Analytics

Our government customers’ mission requirements are hard precisely because of the ways they differ from otherwise similar problems in industry or academia. For example, when the U.S. military launches an operation, it faces adversaries who actively seek to break any assumptions a commander might make—and there are no second chances.

Breaking New Ground

Engility’s teams, carefully built from diverse skillsets, are well suited to tackle those especially tricky challenges by taking an engineering approach. They bring any method, from any field, to bear on a problem if it helps get the job done. In fact, our methodologists will often have to invent a new technique to take advantage of the mission-specific knowledge held by our subject matter experts.

In one recent instance, Engility designed and implemented a novel algorithm to solve a decade-old problem to which the customer had previously dedicated multiple staff without success. In fewer than six months of developer time, we were able to deliver a solution by (1) deploying methodologists in interdisciplinary teams, (2) contributing their unique perspectives, skills and experiences to the search for solutions, and (3) working closely with the customer and partners to ensure that the solution would have maximum mission impact.

We call our approach Methodology Engineering: digging deep into the core of a technical problem, finding out what makes it unique, and designing a specialized solution to take advantage of those lessons. As a result, Engility methodologists have repeatedly been the first to solve entire categories of problems for which no off-the-shelf solution existed.

Methodology Engineering
A set of techniques and principles that enables advanced analytics on challenging datasets like those in intelligence, proven in practice by dozens of developed algorithms.
Engility develops dozens of algorithms each year to solve our customers’ most challenging problems using Engility’s Methodology Engineering and Impact-Driven Development. By approaching customer needs from their unique aspects, Engility is able to deliver solutions to classes of problems that are tailored and reliable, even when dealing with messy, complicated and unique challenges.

Leading the Way in Advanced Analytics

Modern computing is complicated, but here are a few useful definitions:

Data Analytics/Applied Statistics/Operations Research
Domain-specific models and corresponding statistical techniques used to identify and solve problems.
Machine Learning
General statistical techniques used to identify patterns in data for which a domain-specific model is unknown, unavailable or too complex to implement.
Artificial Intelligence
Techniques mirroring or mimicking an aspect of human thought, particularly including self-improvement with experience.

Big Data
Datasets so large that specific techniques must be applied to store, process and interpret them, even in the presence of powerful modern hardware.
Cloud Computing
Remote storage and processing allocated on demand rather than dedicated to one customer, limiting infrastructure costs.
Data Science
An interdisciplinary field combining elements of machine learning, data analytics, big data and cloud computing.

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Posted by Chris Milroy

I am an applied mathematician and Engility Technical Fellow for advanced analytics, machine learning, and artificial intelligence. I also lead the Advanced Data Solutions team and specialize in experimental adaptation of mathematical, physical, and social science models to solve hard data science problems. I am also a member of the IEEE and the ACM.