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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

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

Data Engineering Podcast

Summary The vast majority of data tools and platforms that you hear about are designed for working with structured, text-based data. What do you do when you need to manage unstructured information, or build a computer vision model? You have a focus on image oriented data and computer vision projects.

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5 Steps to Data Diversity: More Diverse Data Makes for Smarter AI

Snowflake

Diverse data provides a broader view and helps avoid the potential blinders traditional sources can perpetuate. To ensure your AI models are trained with as much data as possible, here are five best practices for greater data diversity: 1. Break down internal silos to access cross-functional sources.

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Building a Data Platform in 2024

Towards Data Science

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed?

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Snowflake Startup Challenge 2024: Announcing the 10 Semi-Finalists

Snowflake

In 2020, Snowflake announced a new global competition to recognize the work of early-stage startups building their apps — and their businesses — on Snowflake, offering up to $250,000 in investment as the top prize. Stellar Stellar is designed to make generative AI easy for Snowflake customers. SignalFlare.ai

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How to Build a 5-Layer Data Stack

Monte Carlo

Building a data stack doesn’t have to be complicated. Here’s what data leaders say are the 5 must-have layers of your data platform to drive data adoption – and ROI – across your business. Like bean dip and ogres , layers are the building blocks of the modern data stack. Makes sense.

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Tips to Build a Robust Data Lake Infrastructure

DareData

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. And what is the reason for that?