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Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

Summary Unstructured data takes many forms in an organization. From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. Who are the target customers for Aparavi and how does that inform your product roadmap and messaging? When is Aparavi the wrong choice?

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Streamline Operations and Empower Business Teams to Unlock Unstructured Data with Document AIĀ 

Snowflake

It is estimated that between 80% and 90% of the world’s data is unstructured 1 , with text files and documents making up a significant portion. Streamlining these processes with advances in technologies like AI could drastically improve how organizations use their document data for better decision-making.

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The Rise of Unstructured Data

Cloudera

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. The rate of data growth is reflected in the proliferation of storage centres.

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Bring Order To The Chaos Of Your Unstructured Data Assets With Unstruk

Data Engineering Podcast

Summary Working with unstructured data has typically been a motivation for a data lake. Kirk Marple has spent years working with data systems and the media industry, which inspired him to build a platform for automatically organizing your unstructured assets to make them more valuable.

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Now in Public Preview: Processing Files and Unstructured Data with Snowpark for Python

Snowflake

ā€œCalifornia Air Resources Board has been exploring processing atmospheric data delivered from four different remote locations via instruments that produce netCDF files. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

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Prepare Your Unstructured Data For Machine Learning And Computer Vision Without The Toil Using Activeloop

Data Engineering Podcast

What do you do when you need to manage unstructured information, or build a computer vision model? In this episode Davit Buniatyan, founder and CEO of Activeloop, explains why he is spending his time and energy on building a platform to simplify the work of getting your unstructured data ready for machine learning.

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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

And itā€™s no wonder ā€” this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. Here are just a few of their exciting predictions for the year ahead.