Artificial Intelligence

Transform Challenges into
Opportunities

Analytica’s Artificial Intelligence (AI) experts help our federal clients safely operate at the forefront of AI innovation. We use best-in-class tools and technologies that unlock AI for our customers, delivering descriptive, predictive, and prescriptive recommendations. Our end-to-end solutions integrate into our customers’ existing IT infrastructure. Whether integrating local AI methods or partnering with cloud providers, we provide targeted solutions to our customers without sacrificing on safety, interpretability, or guardrails.

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Advantages of Artificial Intelligence

Analytica works with government customers to transform their operations through AI and Machine Learning (ML). These efforts result in

  • Reducing manual effort with tedious processes related to unstructured data.
  • Improving the speed of decision-making based on ML/AI algorithms.
  • Providing end-users with their entire corpus of reference documents and policies at their fingertips to inform LLM responses to user queries.
  • Personalizing infrastructure with appropriate choices with AI agents and underlying RAG architecture.

AI Expertise

With our innovative approaches, we help our clients to achieve their business goals:

  • Generative AI Solutions
  • Intelligent Document Processing
  • Natural Language Processing
  • Explainable AI

AI Innovation Roadmap

  • Current AI Capabilities:
    • Implement enterprise-ready LLMs for document analysis and insights generation
    • Advanced predictive models with explainable AI at the heart of everything we do
    • NLP-Enhanced Data Processing: Automated text analysis and sentiment extraction from unstructured data
  • Near-Term Innovations
    • Explainable AI Framework: Enhanced transparency to help clients understand model decisions and build trust
    • Edge AI Deployment: Moving select analytics capabilities to edge devices for efficient computing and deployment
  • Our Continuous Innovation Process
    • Regular evaluation of emerging AI research with academic partners
    • Bi-weekly and monthly innovation sprints focused on client challenges
    • Internal AI innovation hub for testing and developing cutting-edge techniques

Problem ID

  • ID customer challenges
  • Translated into well-defined problems with measureable outcomes
  • Evaluate what AI brings to the table

Scope ID

  • Establish focused scope for POC
  • Define clear, measureable success criteria
  • Align on timelines with stakeholders

Data Assessment

  • Evaluate data availability, quality
  • ID potential biases
  • Create data prep plan
  • Address privacy and security concerns early and repeatedly

Technology Assessment

  • Choose appropriate AI techniques based on the problem
  • Consider the use of pre-trained models
  • Evaluate tradeoffs of COTS vs custom development
  • Select tech as a balance between innovation and practical implementation

Rapid Prototyping

  • Start with simple models
  • Use Agile dev
  • Demonstrate core functionality
  • Document technical choices and trade-offs

Validation

  • Test with real-world data
  • Evaluate performance beyond technical metrics
  • Test for fairness, ethics, and potential biases

Stakeholder Feedback

  • Employ HCD for customer-facing deployments
  • Focus on highest business value
  • Collect feedback from various perspectives

Iteration & Refinement

  • Improve the POC using customer feedback
  • Address edge cases and performance challenges
  • Document lessons learned

Value Assessment

  • Quantify business impact
  • Develop plan for production implementation
  • ID resources needed for next steps

Documentation

  • Document entire process
  • Create reproducible development environments
  • Prepare training materials

Relevant Insights

July 6th, 2023
Blog

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The internet is flooded with articles about large language models like ChatGPT, their potential, and […]

Applying Natural Language Processing (NLP) Models For Federal Use Cases
July 1st, 2022
Blog

Natural Language Processing For Federal Use Cases

Analytica’s Advanced Analytics group is researching the use of Applying Natural Language Processing (NLP) Models […]

Decorative Image
December 19th, 2022
Case Study

Federal Government Artificial Intelligence and Data Analytics

The Advanced Technology Academic Research Center (ATARC), a leading Government Private / Public Partnership, has a goal to accelerate the adoption of AI and data analytics best practices across government and industry that increase efficiency and reduce cost.

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