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By John Sankovich
Vice President, Cloud Solutions

Machine learning (ML) is rapidly becoming a core decision-making platform for large businesses and government agencies alike. Whether optimizing operations, pursuing new revenue streams, gaining strategic insights, or eliminating unnecessary costs, many organizations rely on ML strategies to model and interpret data in order to gain valuable insight and generate predictive outcomes.

At the same time, ML is an evolving concept, which requires expert data and compute resources and keen focus to keep on top of the latest advancements and practical applications. The tools of today may quickly recede as new technologies emerge and the pace of innovation continues to accelerate.

So how does ECS leverage ML to benefit our customers?

The answer is threefold: by developing new capabilities, investing in expert personnel and resources, and deploying advanced solutions.

Developing Capabilities

At its core, ML is a process by which computer systems use algorithms and statistical analysis to derive patterns, rules, and insights from large volumes of data. In this way, ML is a push towards automation—giving systems the ability to investigate data and derive solutions on an ongoing basis.

The application of ML takes on many different forms, depending on an organization’s needs. To that end, ECS personnel maintain and continue to develop a suite of ML tools to address a spectrum of enterprise challenges. Our ML services include computer vision, speech, video, and language analysis, empowering organizations to gain insight from a variety of data sources.

We architect, train, and manage models—algorithms designed to “teach” an artificial intelligence (AI)—which can then be deployed and configured into a variety of ML-enabled environments through on-premise, hybrid, and public cloud platforms including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Our team also makes use of Application Programming Interfaces (APIs), integrable code that further automates ML software, speeding up the development process and driving down costs.

Investment in ML Resources

ECS offers ML services as a part of the Cloud Center of Excellence (Cloud CoE), a dedicated hub for expert personnel and processes to drive innovation in the cloud and ML space. The Cloud CoE combines expert data scientists, data and cloud engineers, , architects, and other thought leaders to identify emerging technologies and processes and adopt them across ECS and our customer engagements to solve complex problems.

We maintain partnerships with Amazon, Google, Microsoft, IBM, and other leading ML platform and service providers. In May 2018, ECS achieved the AWS Machine Learning Competency—one of only eighteen companies worldwide to gain this status—which distinguishes our team as operating with the highest level of ML expertise and experience. These partnerships make ML customer-accessible by providing for ready-to-use solutions that plug into existing systems.

Deploying Advanced Solutions

ECS has and continues to deploy ML solutions across the federal, defense, and commercial industries, including supporting the United States efforts in homeland security and national defense. We offer one of the most advanced video analysis and modeling solutions, which leverages ECS’ hybrid cloud architecture, commercial best-practice AI solutions, and public cloud high-performance compute-modeling processors. These technologies enable us to develop predictive solutions that can be deployed to the tactical edge for real-time data collection and analysis.

Additional uses cases include ECS’s Natural Language Processing (NLP) platform, which analyzes unstructured text data in end-user support tickets, helping a commercial customer better prioritize and resolve service requests. Another commercial customer partnered with ECS to reduce cloud administration spend and recognize optimization benefits, for which we deployed a regression-based linear learner model to better forecast and optimize monthly cloud costs.

ML is not only a practical asset, but also a fast-evolving, highly conceptual technology. This dual nature demands expert personnel dedicated to solving both present challenges and future opportunities. Within the Cloud CoE, ECS combines the thought leadership and necessary resources to tackle these challenges. Our team develops and maintains key ML capabilities, while pushing the envelope to find new applications for this groundbreaking technology.

Interested in learning more about how ECS delivers ML-powered solutions? Contact