Information Search Platform on Azure Cosmos DB & Azure AI

Business Challenge: Users face challenges in efficiently extracting, interacting, and summarizing information from various unstructured (pdf, ppt, docx, txt) and structured (excel, csv) documents, while also requiring access to the most recent and relevant data from structured databases and the web. Additionally, there is a need for an automated, intelligent system that supports natural language querying, real-time web information retrieval, and collaborative group chat functionalities to facilitate informed decision-making and boost productivity.

Offering: Azure Open AI enables intelligent querying and summarization of diverse unstructured and structured documents. Azure Cosmos DB offers scalable and flexible access to application data, it supports flexible schema design, very efficient low-latency information storage and retrieval. Delta Lake ensures reliable, real-time data processing and integration from various sources. Together, these technologies create an automated, intelligent system that facilitates real-time knowledge access and collaborative decision-making, enhancing productivity and ensuring users have the most relevant and recent information at their fingertips. Tiger Analytics solution is built on Cosmos DB, Azure Open AI, App Service, Azure Functions and Delta Lake serves as a foundation for implementing high-impact use cases.

Solution Objectives:

1. Engage in conversations using the LLM's training data.
2. Interact with user-uploaded unstructured documents (PDF/PPT/DOCX/TXT).
3. Engage with user-uploaded structured documents (Excel/CSV).
4. Query structured databases using natural language.
5. Creation of an organization knowledge base – user queries to be answered from the knowledge base without specific mention of a document

Application across Business Functions & Industries -

A. Data Analysis -

1. Retail: Analyze sales data from Excel or CSV files, generate reports, and provide insights through natural language queries.
2. Finance: Analyze financial statements and summarize market reports.
3. Manufacturing: Analyze inventory data to optimize stock levels and reduce carrying costs.
4. Logistics: Summarize operational data to identify bottlenecks and recommend process improvements.

B. Healthcare -

1. Hospitals: Summarize patient records, research articles, and facilitate discussions on complex cases.
2. Medical Research: Summarize the latest research articles and clinical guidelines.
3. Patient Education: Provide summarized and easy-to-understand information on medical conditions and treatments.
4. Clinical Trials: Analyze and summarize treatment plans to ensure they align with best practices.

C. Human Resources -

1. Corporate HR: Streamline onboarding by interacting with policy documents and answering employee queries based on uploaded HR manuals.
2. Employee Training: Summarize training materials and track employee progress.
3. Performance Management: Summarize employee performance data to support appraisal discussions.
4. Policy Administration: Summarize changes in company policies and distribute them to employees.

Deliverables:

1. Solution Architecture on Azure
2. Next-Gen Search Solution
3. Demo of end-to-end capabilities of Next-Gen Search Solution

Timeline: 8 to 12 weeks Proof of Concept, subjected to change based on the scope.

Technologies: Azure AI, Azure App Service, Azure Functions, Cosmos DB, Blob Storage and Delta tables.

Pricing: Estimated MVP is USD $40,000. Actual pricing will depend on the customer requirements.