Key Elements
Our Data Intelligence practice focuses on the ability to gather data, transform it, analyze it, and derive insights to build understanding around a program or an agency.
Developing and implementing tools and methods that enable enterprise-scale organizations to deploy data as a strategic asset for better access and understanding of information collected, stored, and utilized to improve operations. Intelligence refers to knowledge or insights derived from information through analysis, synthesis, and interpretation.
Data & Predictive Analytics
Overview
Aretum offers a full spectrum of data services, combining strategic thinking with technical expertise to transform raw data into actionable insights. Our capabilities include crafting data governance frameworks, architecting data models, and implementing ETL pipelines to ensure data accuracy and accessibility.
Offerings
Our Data Strategy approach leverages expertise in data architecture, governance, quality, and technology to create impactful strategies for federal agencies. We integrate automation and AI in our solutions while aligning with the agency’s technical architecture. We also recommend tools that address specific challenges while enhancing scalability and adaptability.
Aretum has extensive experience applying statistical techniques and historical data to build mathematical models. These models support agencies in making predictions about future events or outcomes by identifying patterns and trends. Use cases include logistics optimization, healthcare forecasting, and fraud detection.
Aretum specializes in modern data visualization, using tools like Power BI, Tableau, and Qlik. We collaborate with business experts to design dashboards and presentations that range from high-level executive overviews to detailed drill-down visualizations, allowing for data-driven decisions.
Aretum empowers agencies to adopt self-service BI by providing intuitive tools and training that allow end-users to generate their own reports and dashboards. This enables faster decision-making and reduces dependency on technical teams.
We provide robust research and statistical analysis services to analyze datasets, extract insights, and support evidence-based decision-making. Our methodologies ensure accuracy, reliability, and relevance for our federal and commercial clients.
In Summary
Aretum engages with all aspects of enterprise and program-level data. This includes strategy, governance, modeling, ETL (Extracting, Transforming, and Loading), extrapolation, normalization, de-duplication, and visualization using modern AI and BI tools.
Data Science & Advanced Modeling
Aretum leverages cutting-edge data science and advanced modeling techniques to empower agencies with actionable insights. Our comprehensive approach integrates advanced statistical, mathematical, and computational methodologies tailored to the unique needs of federal agencies, aligned with mission objectives, and compliant with federal standards.
Offerings
Aretum develops sophisticated models to predict outcomes, identify trends, and optimize the allocation of resources. Our methodologies enable agencies to improve operational efficiency, forecast future events, and enhance policy decisions based on quantitative evidence.
Our EDA services uncover patterns, relationships, and anomalies within raw datasets. By applying statistical techniques and creating dynamic visualizations, we help clients extract insights that inform strategy and operational planning.
Aretum employs simulation models to evaluate potential scenarios, test hypotheses, and predict system behavior under varying conditions. Our optimization techniques are used to streamline processes, reduce costs, and maximize outcomes.
Aretum supports agencies in identifying, assessing, and mitigating potential risks. These capabilities improve strategic planning and ensure robust decision-making processes, even in uncertain environments.
In Summary
Aretum’s Data Science and Advanced Modeling team leverages state-of-the-art tools and methodologies. Our expertise spans exploratory data analysis, machine learning, and optimization techniques.
Artificial Intelligence (AI) and Machine Learning (ML)
Being at the forefront of emerging technologies, our efforts include Natural Language Processing (NLP), Large Language Models (LLMs), semantic search, generative AI, and deep learning to fulfill a spectrum of business needs in different products and Software-as-a-Solution (SaaS) projects.
Offerings
Aretum develops and uses chatbot applications in both internal employee portals and public-facing settings. These applications might be integrated with already existing software solutions and are used for customer support and to assist employees with performing administrative procedures and filling applications.
Our main use cases of generative AI technologies include providing document summaries, insights, and recommendations. We stay informed about the novel features and tools as they are released and perform the appropriate refactoring to take advantage of updated features and new functionality.
ARETUM uses Robotic Process Automation (RPA), AI, blockchain, and smart contracts to automate administrative processes. We tailor solutions utilizing these technologies to streamline laborious and tedious tasks. These automation efforts will improve productivity and offer time and resource savings, allowing agencies to focus on more important mission-critical tasks.
ARETUM offers AI and ML solutions for fraud detection for structured and unstructured data. Our predictive analytics skills can be leveraged to detect anomalies, identify irregular patterns in real-time, and flag potentially fraudulent activities in time-series data. These types of solutions are often used in securing financial systems, enhancing cybersecurity measures, and ensuring regulatory compliance.
In Summary
We are well-versed in the use of AI and ML in a variety of applications. Our AI experts and software engineers have a proven track record of efficient planning and full implementation, starting with determining the business use case for improving productivity.
Natural Language Processing (NLP) & Understanding (NLU)
ARETUM NLP/NLU services include many aspects of planning, designing, implementing, and supporting AI-powered solutions.
Offerings
ARETUM has been utilizing text mining, web scraping, and sentiment analysis in various client projects and products, enabling meaningful insights to be extracted from unstructured text data. Our expertise includes big data processing to uncover trends, identify public sentiment, and support decision-making. These services are critical for market analysis, public feedback evaluation, and enhancing customer engagement.
Aretum has successfully implemented speech-to-text and text-to-speech technologies for federal clients, including a transformative solution for the Department of Veterans Affairs. ARETUM has been using a spectrum of libraries and tools to generate accurate and precise real-time transcripts and near-real-time summaries for verbal conversations.
We also have performed load testing with synthetic voice documents using AI-assisted text-to-speech libraries and technologies, ensuring scalability and precision of our solutions.
ARETUM has been using LLMs for Natural Language Understanding (NLU) in various set ups. ARETUM software engineers have utilized different tools to leverage text vectorization to understand, classify, and summarize text documents, and generate AI-powered recommendations.
These technologies are being used for text processing and search purposes across various federal projects and AI-assisted software products.
ARETUM excels in developing machine translation solutions and multilingual support services that bridge communication gaps across languages. By employing AI-driven translation models and natural language processing tools, we equip seamless multilingual interactions. These capabilities are critical for international collaborations, public service accessibility, and enhancing user engagement in diverse linguistic landscapes.
ARETUM is developing chatbots and virtual assistants to support administrative processes such as filling applications, summarizing documents and requests, and case management. These prototypes highlight our ability to design intuitive, user-friendly systems that enhance interaction and improve service delivery. From automating customer service to facilitating self-service options for internal teams, our chatbots are equipped to handle diverse use cases efficiently.
In Summary
We have leveraged text mining, sentiment analysis, speech-to-text processing, document processing, text classification and summarization, and semantic search for a variety of customer applications.
