Data Security Insurance Unstructured Data 
Snowflake
FEBRUARY 5, 2024
Increasingly, financial institutions will monetize their data through apps and data marketplaces. But traditional data management systems struggle to store and process vast troves of unstructured data — ranging from emails and social media posts to scanned documents, video and audio recordings.
Snowflake
OCTOBER 26, 2023
Gen AI can also analyze unstructured data sets, such as clinical notes, diagnostic imaging and recordings and provide evidence-based recommendations. An inconsistent data set introduces biases and inaccuracies, which can have profound consequences for clinicians or scientists using an AI model for patient health.
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Snowflake
MAY 2, 2023
For clinicians, it may mean the ability to easily and quickly share unstructured data, such as x-ray images, while to another provider it might mean ensuring optimal patient care. But perspectives about data sharing across the industry are changing, driven in large part by the recent pandemic.
Knowledge Hut
JANUARY 30, 2024
Structured Data: Structured data sources, such as databases and spreadsheets, often require extraction to consolidate, transform, and make them suitable for analysis. Unstructured Data: Unstructured data, like free-form text, can be challenging to work with but holds valuable insights.
Knowledge Hut
MARCH 26, 2024
Responsibilities: Define data architecture strategies and roadmaps to support business objectives and data initiatives. Design data models, schemas, and storage solutions for structured and unstructured data. Evaluate and recommend data management tools, database technologies, and analytics platforms.
Knowledge Hut
APRIL 23, 2024
Compliance and Regulatory Reporting: Big data analytics helps banks comply with regulations by analyzing enormous volumes of data to spot any abnormalities or instances of non-compliance, ensuring that regulatory obligations are met. In insurance, big data use cases help with claim management and processing.
Knowledge Hut
SEPTEMBER 29, 2023
The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage.
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