Remove Data Management Remove Data Solutions Remove Unstructured Data
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The Future of Data Management Is Agentic AI

Snowflake

The vast amounts of data generated daily require advanced tools for efficient management and analysis. Enter agentic AI, a type of artificial intelligence set to transform enterprise data management. Many enterprises face overwhelming data sources, from structured databases to unstructured social media feeds.

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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

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.

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2024 Governance Trends for Data Leaders

phData: Data Engineering

Strong data governance also lays the foundation for better model performance, cost efficiency, and improved data quality, which directly contributes to regulatory compliance and more secure AI systems. Data governance is the only way to ensure those requirements are met.

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The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

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The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.

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Deep Learning For Data Engineers

Data Engineering Podcast

In this episode he shares his experiences experimenting with deep learning, what data engineers need to know about the infrastructure and data requirements to power the models that your team is building, and how it can be used to supercharge our ETL pipelines. How does that shift the infrastructure requirements for our platforms?

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The Pros and Cons of Leading Data Management and Storage Solutions

The Modern Data Company

Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing.