March 25, 2025
Engineering, Phase 2 Labs

Mobile application deployment has historically been a cumbersome process. Each deployment typically requires two builds (one iOS and one Android), each deployed to a separate store instance that must be manually configured and managed. While several effective tools have emerged in recent years to streamline this process, they all are understandably tuned to the most common use case: building one application for each platform and deploying those applications to the App Store and Play Store, respectively.  However, business needs are varied...

BY
1
March 17, 2025
Engineering, Phase 2 Labs

How Multi-Modal LLMs are Revolutionizing Document Processing Anyone who has worked with historical archives, ancestral records, or aged business documents knows the frustration all too well. You're staring at a handwritten letter from the 1800s, a faded hospital record, or a weathered legal document that holds valuable information—if only you could reliably extract it. Traditional Optical Character Recognition (OCR) promised to bridge this gap between physical documents and digital data, but for many challenging documents, it has fallen persistently short. For decades,...

BY
1
March 6, 2025
Business Software Development, Data Strategy and Governance, Phase 2 Labs

Executive Summary Organizations today face a critical inflection point in managing their data assets. According to Ocient, a leading data intelligence firm, global data creation will reach 200 zettabytes in 2025 (Ocient 2022). This explosive growth, combined with increasing regulatory requirements like GDPR, CCPA, and industry-specific mandates, creates urgent challenges in data management, security, and value creation. The cost of poor data management is substantial. Industry research from Gartner indicates that organizations lose an average of $12.9 million per year due to...

BY
2
February 24, 2025
Artificial Intelligence, Engineering, LangGraph, Phase 2 Labs, Technical Tutorial

LangGraph is a framework designed for building and managing complex AI workflows using a graph-based approach. This article provides a comprehensive guide to its core components, implementation patterns, and best practices. Key Highlights: LangGraph Studio: A powerful IDE for real-time visualization, debugging, and monitoring of graph executions. Features include graph visualization, hot reloading, and interactive debugging. Graph Components: LangGraph workflows consist of nodes (processing units), edges (connections defining flow), and state (persistent context). Types of Nodes: Includes LLM nodes (leveraging AI models), agent nodes...

BY
5