New Way to ELT (AI Agents): Converting Unstructured Data to Any Structured Data Warehouse with Fine-Tuned Open Source LLMs

Data-driven enterprises are increasingly challenged with transforming unstructured data - often 80% of total data - into structured formats (e.g., SQL tables) suitable for analytics, applications and AI interactions. Established tools like Power BI excel at delivering insights from structured data models, but unstructured data transformation requires innovative approaches to maximize value. This challenge is particularly critical for regulated industries such as healthcare, financial services, and the public sector.

Fine-tuned Large Language Models (LLMs) like Llama 3.1, integrated with the Skypoint AI Platform (AIP) AI Agents, offer a powerful solution for this transformation.

The Unstructured Data Challenge

Many businesses possess large amounts of unstructured data - PDFs, regulatory docs, competitor information, market data, customer feedback, clinical operational notes, and contracts - that are not easily accessed or analyzed accurately. Manual processes for extracting insights from these formats are time-consuming and prone to error. Skypoint’s AI Agents automates the Extract, Load, and Transform (ELT) process using fine-tuned LLMs specific to industries and use cases. For instance, Skypoint’s Model-as-a-Service provides customizable solutions for unique organizational needs. Check it out here.

Skypoint AI Platform: Automating Unstructured Data Transformation

Skypoint’s AI Agents handles large volumes of unstructured data and transforms them into structured formats for various regulated industries and use cases.

• Healthcare: Converts clinical, operational, and administrative records into structured data for quicker decision-making.
• Financial Services: Extracts critical information from contracts, reports, and regulatory documents for compliance and risk management.
• Public Sector: Mines citizen feedback and reviews to improve constituent engagement and optimize public services.

The platform also provides:

• Industry-Specific Taxonomies: Custom taxonomies to align with industry standards, ensuring accurate data extraction.
• Ontologies: Tailored company-specific ontologies to guide data categorization and analysis.

Skypoint AIP's Fine-Tuned Llama 3.1 as a Service + AI Agents: The Unstructured Data Transformation Engine

The integration of Llama 3.1 into Skypoint’s AI Agents enables large-scale processing of unstructured text, audio files, and transcripts. Fine-tuned for industry-specific use cases, Llama 3.1 automates the extraction and categorization of relevant data, reducing manual work. By converting unstructured data into structured formats, companies unlock insights that can be fed into warehouses and databases such as Databricks, Snowflake, Microsoft Fabric, DataStax and others for further analysis using tools like Power BI and Tableau.

Seamless Integration with Data Warehouses

Once transformed, the structured data can be directly populated into data warehouses and lakehouses, such as Databricks and Snowflake, enabling real-time analytics, AI model training, and business intelligence. Skypoint’s AI Agents ensures that structured data is immediately ready for analysis with industry-leading platforms like Power BI and Tableau. This enables businesses to derive actionable insights from both structured and previously inaccessible unstructured data.

Real-World Applications of Skypoint AI Agents

1. Healthcare: Extracts data from Medicare health plan records to improve plan selection and agent productivity.
2. Financial Services: Automates the transformation of banking and credit union data to ensure compliance, mitigate risk, and boost employee productivity. It also aids in competitive intelligence, such as tracking competitor rates and offers.
3. Market Intelligence: Skypoint’s senior living market intelligence uses the AI Agents to build and scale internal capabilities. Learn more about this use case here .

Conclusion

Skypoint’s AI Agents and Model-as-a-Service (MaaS) now allow organizations to access, analyze, and monetize 100% of their data, not just the 20% that is already structured. By automating the transformation of unstructured data into structured formats, companies drastically reduce the time spent on data preparation and increase the accuracy and speed of analytics.

With seamless integration into platforms like Databricks, DataStax and Snowflake, the structured data can be leveraged in real-time to drive strategic decision-making. Whether you're in healthcare, finance, or the public sector, Skypoint’s AI Agents empowers you to transform unstructured data into actionable insights, ensuring that no data remains untapped. In an increasingly data-driven world, mastering unstructured data transformation is essential for competitive success.

Please feel free to reach out to our team at Skypoint for a demo.