PE Org-AI-R Platform – End-to-End Big Data & AI Pipeline (Case Studies 1 & 2) скачать в хорошем качестве

PE Org-AI-R Platform – End-to-End Big Data & AI Pipeline (Case Studies 1 & 2)

We demonstrate the design, implementation, and deployment of the PE Org-AI-R Platform — an end-to-end, production-grade data and AI system for assessing Organizational AI Readiness in a Private Equity context. 🔹 Project Highlights: • Enterprise-grade FastAPI backend with versioned REST APIs • Poetry-managed Python environment with strict dependency control • Pydantic-based configuration and validation (7-dimension AI readiness model) • Snowflake integration for analytical storage • Redis caching layer for low-latency configuration retrieval • Configuration-driven architecture (one schema, many sectors) • SEC EDGAR document ingestion pipeline (10-K, 10-Q, 8-K) • Chunking, deduplication, and evidence tracking • Streamlit frontend for interactive analysis and visualization • Dockerized local development and CI-ready structure 🔹 Case Study Scope: This submission covers: • System architecture and design decisions • Data ingestion and processing pipelines • AI readiness scoring logic (VR, HR, Synergy) • Caching and performance considerations • API workflows and frontend interaction • Evidence collection and reproducibility 🔹 Course Information: Course: DAMG 7245 – Big Data Systems & Intelligence Analytics Instructor: Prof. Srikanth Krishnamurthy Term: Spring 2026