AI & Cloud Resource Hub – Learn, Explore, Apply

See how AI and the cloud are making a real impact. Watch use case videos, check out our eBook and expert insights, and learn how others are solving tough challenges with smart, practical solutions.

Customer Stories

A large federal agency sought better transparency and information sharing nationwide. Our GenAI solution improved visibility across key areas of its operations.

Improving Organizational Visibility with GenAI
Federal Agency

The City of San Diego saw small businesses struggling with cybersecurity and took action. Partnering with us, they built My eCISO, a GenAI-powered conversational agent to help protect them.

Cybersecurity meets GenAi
City of San Diego

Allmoxy, a manufacturing software provider, needed a modern, resilient infrastructure to overcome scalability and reliability issues with its outdated on-prem system.

Modernizing Infrastructure on AWS Cloud
Allmoxy

A healthcare agency’s outdated system caused inefficiencies in managing school vaccination records. We modernized their platform for better performance.

Streamlining and Centralizing Data
Healthcare Agency

Chula Vista faced budget constraints and a surge in public inquiries. Our GenAI pilot helped city staff explore how AI-powered self-service options could ease their workload.

Empowering Cities and their Residents with GenAI
City of Chula Vista

A healthcare organization’s legacy training system struggled with scalability and security for its users. We migrated it to the cloud to ensure reliability and meet customer demands.

Modernizing Healthcare Training: A Successful Cloud Migration Story
Healthcare Organization

AI in Action: Organizing, Automating, Connecting

AI is making it easier to manage data, automate tasks, improve communications, and transform experiences. It helps organize information, find answers quickly, bridge language gaps, and handle repetitive work. Whether it’s streamlining processes or improving access to information, AI is making a huge impact. Here are some real-world use cases we’ve built for our clients. 

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Knowledge Graph

Challenge: Keeping information organized and accessible in large, complex organizations. 

Solution: We built a knowledge graph for a federal agency to map relationships between business units, people, topics, and projects. Using public data and an LLM, we automated the process, so all the data is aggregated, structured, and visualized in a matter of hours—making it easy for any organization to do the same. 

How It Works: By combining NLP, GenAI, and data hierarchies, we rapidly turn unstructured data into searchable knowledge graphs that provide transparent actionable insights for businesses and trustworthy knowledge bases for AI applications. 

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Knowledge Retrieval

Challenge: Finding accurate information in large document sets is slow, inefficient, and often leads to missed details. 

Solution: We’ve helped clients simplify knowledge retrieval, making it fast and easy to get the answers they need. In this video, you’ll see how you can select any set of documents—legal codes, regulations, or company handbooks—ask a question, and get instant answers from cited sources. You can even translate or listen to the information in any language. 

How it Works: NLP and OCR are used to represent your information in a way that makes it searchable by semantic meaning. When a user asks a question, the system can quickly find the documents that are semantically similar to the user’s request and use those documents to answer questions, making it possible to interact with massive sets of information using nothing but natural language. 

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Multilingual AI

Challenge: Language barriers make it harder for customers, prospects, or constituents to access goods and services. 

Solution: Real-time voice translation can help you communicate instantly with people who speak different languages. Wherever language gaps are slowing things down—AI can bridge them.  

How It Works: By combining real-time speech recognition, transcriptions, and generative AI, multilingual translation can be performed quickly, accurately, and made context-aware— which breaks down language barriers in a way that traditional translation methods never could. 

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AI Agents

Challenge: Businesses waste time on repetitive, tedious tasks that AI can handle. 

Solution: In this example, we built an intelligent agent that streamlines business analysis—gathering data from the web, summarizing key insights, and distilling important concepts, all in one place. 

How It Works: AI agents analyze data, make decisions, and take action—automating tasks, predicting outcomes, and learning over time. They power solutions in customer service, business automation, fraud detection, supply chain management, and more. 

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Intelligent Document Processing

Challenge: In industries like finance and healthcare, paperwork piles up fast. IDP automates document-heavy tasks so your team can focus on more important work. 

Solution: We built a  GenAI-powered IDP system that processes documents like paper invoices—automatically extracting key data and eliminating manual entry. 

How It Works: Using OCR and generative AI, we digitize information from a variety of documents and files, transform it into interoperable machine-readable formats, and load it into databases or repositories where it can be efficiently stored, cataloged, and searched — with no manual effort required. 

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How GenAI is Transforming IDP

With the rise of generative artificial intelligence (GenAI), the IDP landscape is changing rapidly. This guide is designed to help you understand what’s possible, how to evaluate current or future IDP solutions and how to ultimately save time and money for a better result.

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