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Generative AI Enablement

Many of TechStone’s core solutions enable AI-driven projects. Since these projects rely on clean and accurate data, we can use various solutions, including a data hub, data quality, data integration, and data governance.

In the context of generative AI a “golden standard” of data refers to a meticulously curated dataset that is considered the most accurate and reliable representation of the information needed to train a model, acting as a benchmark for evaluating the quality of generated outputs and ensuring the AI produces consistent, accurate results especially when dealing with complex or sensitive applications where precision is crucial. High-quality data is vital for the effectiveness of generative AI models.

Examples of how the “golden standard” is used in generative AI:

Medical Diagnosis
A curated set of patient records with verified diagnoses from expert clinicians to train an AI model for medical image analysis.

Natural Language Processing
A collection of text samples with manually annotated sentiment labels to evaluate the performance of a sentiment analysis AI model.

Financial Modeling
A database of historical financial data with verified market trends to train a model for predicting stock prices.