argitaratzailea: LTIMindtree Limited
Simplify enterprise insights for business self-serve
CogniSights is an OpenAI app that makes database querying easy with NLP to SQL convert, accelerating insights and productivity.
We make it easy for your IT services to use simple English or any language to automate insights, ease data analysis and enable quick decisions. The app automatically retrieves the necessary metadata from any database (RDBM / NoSQL/ Blob) to answer natural language queries about structured data from various sources. The app uses the metadata management to learn the context of the query, automate prompt generation, execute it, and generate an interactive report.
This app is an end-to-end tool that eliminates the need for users to think or have prior knowledge about prompts, translations, or DB query execution. The app is designed for non-programmers such as domain experts or customer support personnel to self-serve insights from any enterprise database.
Once the results are fetched, we also maintain a log of user specific historic queries and results for quick retrieval and reference. The app will need only need inputs around database metadata and no data leaves your premise.
We provide you support to deploy the solution on your own premise or cloud. While enabling custom training (if at-all needed) your training data is privacy ensured. And once your model is deployed, we make it easy to continue adding new organization database metadata to enable expanded self-serve for business across enterprises, improve accuracy of your trained model or make upgrades as new LLMs are released.
We provide you with ease of use, self-serve insights on your enterprise databases for IT services staff by leveraging plug and play OpenAI service with pretrained LLM like GPT and Codex. Enable infrastructure to custom train on your own enterprise metadata and deploy your own privacy ensured fine tined LLM models to the cloud and integrate with enterprise app APIs. Leverage enterprise metadata databases like Purview to automate the prompt engineering for LLM. And once your model is deployed, we make it easy to continue adding new database metadata to enable expanded self-serve across enterprise databases, improve accuracy of your trained model and make upgrades as new LLMs are released.
Type of Users Benefitted:
- IT Directors
- IT Service Managers
- Customer Service Staff and Key Decision Makers
- Non-Technical Staff who need to query databases for insights and decisions
• Reduce learning curve of IT services staff to understand datamodels , instead use NLP to automate SQL tasks
• Domain experts can perform analysis and reporting without any programming knowledge.
• 80% effort reduction for data analysis and reporting tasks and improved decision making
• Uses state of the art Retrieval-augmented in-context learning approaches for LLMs to produce accurate text-to-SQL translations.
• Uses built-in data curation features of Microsoft Purview to improve SQL translation accuracy.
• Wide target area since SQL is supported by almost all data warehouses, databases and even data lakes.
• Azure durable functions allows reliable and efficient execution of long running queries required for large data volumes. Achieve low latency by leveraging Azure durable function parallel programming patterns.
• SQL accuracy and performance tracking using Application Insights
• Pricing leverages Azure subscriptions and OpenAI service bundles based on inferencing volumes and fine tuning / hosting needs