The financial services industry has long relied on data to drive insights, optimize risk, and meet regulatory requirements. However, with the surge in unstructured data—from customer communications to social media insights and transaction notes—organizations face unique challenges in managing, analyzing, and securing this complex data. Unlike structured data that fits neatly into databases, unstructured data demands different approaches for storage, processing, and compliance.

In healthcare, population health management (PHM) is crucial for improving health outcomes, cutting costs, and boosting patient satisfaction. A leading healthcare payor in the US, serving millions of members, aimed to enhance its PHM capabilities to tackle the complex task of identifying high-risk members and providing timely, preventive care to reduce costly health issues. However, managing the intricate data workflows needed for such a solution presented significant challenges. By partnering with Gradient, the team was able to leverage Gradient's AI-powered Data Reasoning Platform to overcome these obstacles, enabling them to build an advanced PHM solution.

In today’s financial services industry, vast amounts of data are generated daily, much of it in unstructured, complex, and fragmented forms. Unlike structured data, unstructured data presents unique challenges but also holds immense potential. As the competitive landscape intensifies, it’s crucial for financial institutions to harness this data, enabling automation, streamlined workflows, and enhanced decision-making to elevate client service and operational efficiency. Join us as we explore the transformative role of unstructured data in reshaping financial services.

Take a look at how an investment management and strategic advisory firm, leveraged Gradient's Data Reasoning Platform to help develop a custom solution to navigate the complexities of SEC compliance when working with marketing materials.