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

Snowflake

With this new Snowpark capability, data engineers and data scientists can process any type of file directly in Snowflake, regardless if files are stored in Snowflake-managed storage or externally. Previously, working with these large and complex files would require a unique set of tools, creating data silos. ” U.S.

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Accelerate AI Development with Snowflake

Snowflake

At Snowflake BUILD , we are introducing powerful new features designed to accelerate building and deploying generative AI applications on enterprise data, while helping you ensure trust and safety. These scalable models can handle millions of records, enabling you to efficiently build high-performing NLP data pipelines.

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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. They’ll prioritize data solutions that work across clouds.

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

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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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Calling All Builders: Get Hands-On With AI and Apps

Snowflake

Now, it’s time to BUILD. Join us for BUILD 2024, a three-day global virtual conference taking place Nov. 12-15, to hear major Snowflake product announcements firsthand and to learn how to build with our latest innovations through dozens of technical sessions and hands-on labs. Cost-effectiveness! Efficiency!)