TechInsights aims to enhance its SaaS platform's search capabilities by integrating advanced AI/ML technologies. The current Lucene-based search system, while effective, can be significantly improved to provide more relevant and intuitive search results for users.

The project is broken into 4 phases.

The first involves fine-tuning the existing search solution based on continuous analyst feedback to ensure it meets user needs.

The second will develop AI/ML-based semantic search to better address user queries and deliver more relevant results.

Further, by analyzing consumption behaviors, an additional AI/ML model will be developed to identify likely related content, enriching search results with valuable insights.

Lastly, by training on our content, an AI/ML model will be developed that can identify and rank the relevance of related content drawn from among our data set.

This project provides a superb opportunity for learners to apply their knowledge of AI/ML and information retrieval systems in a real-world context. Learners will interact regularly with TechInsights' highly trained software developers, Engineers and Architects as well as product and program management.

The project will deliver a refined search solution that incorporates analyst feedback to improve user experience. Learners will develop an AI/ML-based semantic search feature that enhances the relevance of search results. Additionally, they will develop AI/ML models trained on consumption behaviours and our entire data set that can suggest related content, thereby enriching the search experience.

The solutions developed will be documented in a comprehensive report detailing the implementation process and outcomes. All deliverables are developed first in a staging environment and then promoted to TechInsights' production environment where customers can experience them.