About EDA

The Enterprise Data Analytics (EDA) team works to establish an enterprise-wide scalable data analytics capability that enables both analysts and their leaders to anticipate and solve problems, optimize resourcing decisions, and deliver enhanced readiness. It further coordinates and synchronizes Army Business Mission Area (BMA) strategic leader priority analytics projects and accelerates solutions in order to deliver optimized solutions to analytical challenges.  EDA additionally works towards integration of the analytics federation by creating cross-functional analytics project teams matrixed from across the Army Analytics Federation to execute cross-domain coordination and synchronization for enterprise analytics objectives, requirements, resources and activities.

EDA also serves to create an enduring cultural shift to a point where Army Leaders understand and leverage data analytics as a key enabler of the Information Age Army. In addition, EDA contributes to shaping and developing the analytics workforce through the spirit of competition, leveraging the Deep Green professional development challenge and competition to that end.    

Deep Green

The Deep Green initiative run by the Army Office of Business Transformation (OBT) is an ongoing series of professional development computer science- and data science-based competitions. Deep Green will leverage crowdsourcing environments to identify data-driven solutions for the Army’s most challenging problems. Each challenge will be a world-class event building on the lessons learned from previous competitions, allowing commands, domains, and other Army and Defense communities to better see themselves through the lenses of “big data” and Enterprise Resource Architecture (ERA). By seeing themselves better, communities will be better equipped to reshape their information systems for post-ERP implementation strategies.  

The Deep Green challenges will be defined and directed by one or multiple Sponsors that face technological gaps in current data realizations and system implementations. To the extent that such gaps are primarily or at least largely data-based, artificial intelligence, machine learning, big data, analytics, and/or computer science-based solutions should be applicable. The Deep Green initiative will provide the Sponsor(s) an instant force multiplier at little or no cost compared to traditional approaches such as grants or in-house research and development initiatives.  

Challenge participants will be given the opportunity to learn state-of-the-art techniques in the stimulating context of an expert-monitored, cooperative-competitive environment. A small number of the top-performing competition teams will be invited to give presentations of their methodologies, results, and future recommendations to Sponsor representatives, subject matter experts, and OBT initiative overseers. The first place award will be given out to the team/individual that performs best in both the modeling and final presentation. At the Sponsor’s discretion, a runner-up award may also be presented. The first place awardee will also be invited to present findings to a larger Community of Interest of fellow data analytics professionals. Challenges may comprise either a single competition or several, and may be expected to take from several months up to two years to complete.     

Class AI-050:
Developing Generative AI Solutions with Azure OpenAI Service

The Business Mission Area (BMA) in partnership with NETCOMLearning and MS Azure bring a pilot Generative AI Course to the Army at NO COST.

Date: Wednesday, September 13th, 2023
Time: 0900-1700 CDT (8 Hours)
Cost: Free
Registration: Here

The full-day class will run September 13th and the course agenda is as follows:
  • What is generative AI
  • How does Azure OpenAI Service work
  • Provisioning an Azure OpenAI Service instance
  • Deploying models to Azure OpenAI Service
  • Using Azure OpenAI Service to create generative AI solutions
  • Using prompt engineering to improve the output of Azure OpenAI Service models
  • How to mitigate the risks of generative AI.
    Build your Microsoft AI skills with us at NetCom Learning - the Winners of the 2023 Microsoft US Learning Partner of the Year Award and Microsoft Solutions Partner for the Microsoft Cloud. In this brand new official Microsoft virtual instructor-led course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications. 
    Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.

    *If you cannot attend on the 13th but would still like register for the course. All registrants have full access labs and recordings to the course for 180 Days. After September 13th, the class will continue to be offered at $675 per person.

Community of Interest
Data Science & Intelligent Automation

The Army's Community of Interest (COI) for Data Science and Intelligent Automation is a collaboration and learning forum for DOD Data Scientists and Operations Research/System Analysts(ORSAs) to address Data Science & Intelligent Automation-related issues and share knowledge with respect to analytics platforms, tools, methods, etc.

Headquarters Analytics Lab (HAL) Use Cases

A Use Case is the justification for initiating or undertaking a project or task. Use Cases evaluate the benefits of a solution to a defined problem as well as the benefits and cost in both budget and manpower for various possible solutions.