How EzInsights AI Works
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Data Preparation
- Data silos and quality issues persist, with data analysts spending 80% of their time on data discovery, cleansing, and preparation
- Generative AI models can alleviate labor-intensive tasks such as data classification, tagging, anonymization, segmentation, transformation and enrichment
- Auxiliary products like data cataloging and management tools enhance data lineage and accessibility
- Example: EzInsightsAI offers a data management platform for data consolidation, governance, and distribution across analytics models
Text To SQL
- Core use case: Application of Large Language Models (LLMs) in generating initial code to accelerate development lifecycle
- Generative AI not a full replacement for structured, meaningful code but enhances productivity through automatic generation of template code
- Practical application: Convert legacy code bases into destination code bases, serving as a migration accelerator
- Example: Conversion of Qlik Sense reporting to Power BI, involving refactoring proprietary Qlik syntax into DAX code
- Generative AI facilitates conversion of basic expressions from Qlik syntax to DAX, expediting solution delivery
Data Bot and ML Bot
- Generative models are proficient in understanding and producing human-like text, making them highly effective for Natural Language Processing (NLP) tasks
- Generate real-time narratives on data to provide key insights
- Businesses can extract deeper insights from textual data, facilitating informed decision-making processes
Natural Language Processing (NLP) for Text Analytics
- Generative models are proficient in understanding and producing human-like text, making them highly effective for Natural Language Processing (NLP) tasks
- Generate real-time narratives on data to provide key insights
- Businesses can extract deeper insights from textual data, facilitating informed decision-making processes
Analysis
- Analytics use cases typically aim for discovering new insights
- Traditional models may inherit biases and preconceived notions from creators, hindering unbiased analysis
- Some users may struggle to ask the right questions or be open to alternative perspectives
- Generative AI models can uncover new data dimensions and correlations autonomously
- Generate summary content, mix-n-match data from websites, intranet portals, pdfs, documents, emails and create deeper analysis and insights
Reporting
- Generative AI models provide concise data summaries from larger reports or generate entire copies using provided data
- These models excel at contextualizing findings and communicating them succinctly to others
- They can generate data visualizations at significantly faster speeds compared to humans
- Example: A Generative AI model can summarize a lengthy sales report into a brief executive summary, or generate charts and graphs based on provided data, saving time and effort in data analysis and presentation
RAG Workflow Architecture to Train LLMs / AI
EzInsights AI SQL Agent
EzInsights AI Document Extraction Framework
EzInsights AI is a fundamentally different approach to Business Intelligence. With EzInsights AI you explore data from multiple sources using everyday language. Just enter your queries in a search box to analyze your business data and get instant visual answers.