BrainTech is an early innovative proof-of-concept (POC) project illustrating how tech consulting companies can leverage graphs for knowledge management and customer intelligence. This project extends my work at Kyndryl and leverages both real and synthetic data to create a comprehensive solution.
Tech consulting companies often face the following challenges:
- Siloed customer knowledge trapped in disparate documents (PowerPoints, Excel sheets, etc.)
- Critical customer insights locked behind a few key individuals (partners, business account managers)
- Difficulty in modeling and understanding the complex structures of large corporate clients
- Challenges in identifying pain points, strengths, and weaknesses of clients
In an increasingly competitive market, propositions that fail to resonate with a customer's unique needs are likely to fail.
BrainTech offers a suite of powerful tools to address these challenges:
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Graph Visual Explorer: Democratizes a consulting company's knowledge intuitively. Node relationships carry semantic meaning, making it easy to diffuse knowledge across the organization.
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In-depth Customer Dashboards: Provide comprehensive analysis of client organizations.
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Advanced ML Capabilities: Leverage cutting-edge machine learning techniques for deeper insights.
- Applies graph technology to model B2B relationships, a novel approach in the industry.
- Combines graph technology with a customized ontology to connect internal and external data, enabling specialized use-cases not possible with traditional methods.
- Explores the powerful synergy between graph databases and recent advancements in Large Language Models (LLMs).
- Web Application Platform Development
- News Analysis Module:
- Implement topic modeling for quick identification of relevant news
- Develop sentiment analysis to identify potential commercial opportunities from crisis events
- Create summary and QA features to track latest news efficiently
- News Analysis Module:
Distributed under the MIT License. See LICENSE for more information.