AI & Data Analytics

Artificial Intelligence

We help organizations navigate and apply AI technologies in this fast evolving landscape by offering powerful tools to enhance decision-making. Our approach emphasizes practical, secure, and ethical implementation. We design and deploy AI solutions that integrate seamlessly with your existing data infrastructure and workflows, enabling faster and cheaper outcomes without sacrificing control or transparency.

• Development and training of custom AI models across supervised, unsupervised, and reinforcement learning
• Fine-tuning and retrieval-augmented generation (RAG)
• MLOps and AI model lifecycle management
• Responsible and ethical AI practices
• AI-enhanced automation and decision support
• Generative AI and prompt engineering (e.g., GPT, Claude, Gemini)

Data Engineering

Engineering robust data infrastructure and pipelines is foundational for AI/ML, Data Analytics, and Data Science. By enabling seamless access to high-quality data, we empower teams to train models, explore hypotheses, and rapidly iterate. Without reliable data, even the most advanced AI solutions can be misguided. We align our practices with the Data Science Hierarchy of Needs to ensure data readiness for AI/ML development, analytics, and decision-making.

Data Analytics

We specialize in turning complex data into intelligence, helping organizations understand the past, diagnose performance, and anticipate the future through AI-augmented analytics. We provide:

• Descriptive analytics to help describe what happened
• Diagnostic analytics to help explain why it happened
• Predictive analytics using AI/ML to anticipate what will happen
• Prescriptive analytics to help suggest a course of action

Our team combines domain expertise with Decision Analysis, Machine Learning, and statistical modeling to craft tailored solutions that address your operational challenges.

Data Visualization

Effective visualization translates the output of analytics and AI into insight. Without clear and intuitive interfaces, even the best models can go unused. At Prominent Edge, we design clean, interactive visualizations that help users spot patterns, anomalies, and trends. Our work spans dashboards, geospatial tools, and immersive 3D experiences—each crafted to drive informed decisions from AI and data.

Data Modeling and Integration

AI and analytics initiatives rely on unified, high-quality data. We help organizations integrate data from fragmented sources into centralized, structured platforms such as data lakes, warehouses, and marts to ensure it's accessible, usable, and ready for analysis or model training. We support:

• Cloud-native storage solutions in AWS, Google Cloud, or Azure.
• All flavors of relational databases, such as PostgreSQL, Oracle, and SQL Server
• Numerous flavors of NoSQL databases such as DynamoDB, Accumulo, Google BigTable, MongoDB, or Neo4j which include key-value stores, columnar stores, document stores, and graph databases.

Data Governance and Data Stewardship

AI solutions are only as trustworthy as the data behind them. Our approach to Data Governance ensures your enterprise data is accurate, accessible, and secure. To lay the groundwork for responsible AI and analytics, we advocate for a practical, phased approach tailored to your organization’s needs, with an emphasis on standards, compliance, and continuous improvement.