Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY

Delivering Cognitive Computing Solutions in the US Federal Market

Joanna Chavez (Booz Allen Hamilton)
1:00pm1:40pm Wednesday, April 17, 2019
AI Business Summit, Case Studies
Location: Sutton North/Center
Secondary topics:  AI case studies, Text, Language, and Speech

Who is this presentation for?

Data Scientists, Government workers at all levels, the average citizen



Prerequisite knowledge

-Basic understanding of: -Natural Language Processing -Deep Learning

What you'll learn

-Challenges US federal government will be addressing with AI/Cognitive Solutions -Introduction of Natural Language Processing and how that is and will continue to disrupt the federal market -Brainstorm Cognitive Solution strategies for US federal government problem statements (for 10 mins) in groups using a template.


By leveraging natural language processing, AI technology, and UI design to enable services like smart search and intelligent virtual assistants and chatbots, this solution helps people find the most relevant information amongst data that may be large and/or complex. Building an effective solution requires collaboration between IT departments and non-technical teams (marketing, sales, HR) and closes the gap between data collection, insight, and action. Furthermore, by facilitating an intelligent, natural human interaction, Cognitive Solutions breaks down traditional boundaries and addresses the most pressing challenges in the US federal market, which is just barely tapping into AI and more advanced solutions.

How do Cognitive Solutions Disrupt the US Federal market?

• Enhance citizen experiences. More and more users are demanding cognitive experiences and quick and efficient access to data. In order to ease user friction with content in the form of long wait-times on customer service lines, knowledge gaps between user and content, and inaccessibility to resources like expensive computers and laptops, Cognitive Solutions delivers intelligent applications that facilitate a more intuitive, natural user interaction and can work on mobile devices or other voice-enabled channels. This impacts how citizens view typically “bureaucratic” processes.
• Enable leaders to make quick decisions that impact many people. Leaders and stakeholders are facing the daunting task of sifting through data and drawing insights to inform quick decision-making that, more often-than-not, needs to be made collectively and has a large impact on many people and processes. By drawing connections between pieces of data and delivering insight via intuitive interactions with content, the technology does the “thinking” for the leaders allowing for quick access to relevant content and enabling real-time data to inform the decision-making process. This impacts how the intelligence/military community, and agency leaders undergo the decision-making process.
• Empower users to make creative decisions. Using machine intelligence and natural language processing to automate some key aspects of users’ interaction with content, frees up time for the user to focus on more creative endeavors. By breaking down boundaries that exist between users and complex, high-order content and processes, users are now able to focus on using data to drive innovation and creativity. This impacts how federal agents perform work and deliver impact to all citizens and stakeholders.

How do we implement AI and Cognitive Solutions for federal clients?
This requires analyzing some of the key players in implementation process and some of the challenges in delivering work for the US federal government. The talk will outline the step by step process through 1) finding people and computing resources, 2) selling the work to federal agencies, 3) implementing through an Agile framework, and 4) sustaining delivery and product in the long-term. Lastly, understanding how Natural Language Processing and deep learning work in a larger framework.

What is the future of AI in the US federal market?

  • Understand the strategic vision of US federal agencies and communities
  • Lay out some of the biggest challenges the US federal government will face and how they want to address these challenges with Cognitive Solutions and AI
  • Advances in Natural Language Processing and Deep Learning that could address these challenges.
Photo of Joanna Chavez

Joanna Chavez

Booz Allen Hamilton

Joanna graduated from Claremont McKenna College in May 2012 with a B.A. in Neuroscience and from California State University, Fullerton in May 2015 with a M.S. in Computational Statistics. Since graduate school, she has worked in management consulting as a data analyst with an emphasis on applying machine learning techniques and performing predictive analytics for clients in the health, education, and technology sectors.
Currently, Joanna is a Data Scientist at Booz Allen Hamilton. She is part of the Strategic Innovation Group and focuses on developing cognitive computing platforms/solutions for US federal agencies.

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