Remove Data Process Remove SQL Remove Unstructured Data
article thumbnail

Startup Spotlight: How ROE AI Empowers Data Teams

Snowflake

In this edition, we talk to Richard Meng, co-founder and CEO of ROE AI , a startup that empowers data teams to extract insights from unstructured, multimodal data including documents, images and web pages using familiar SQL queries. I experienced the thrilling pace of AI data innovation firsthand.

article thumbnail

Accelerate AI Development with Snowflake

Snowflake

These scalable models can handle millions of records, enabling you to efficiently build high-performing NLP data pipelines. However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Simplifying Multimodal Data Analysis with Snowflake Cortex AI

Snowflake

This major enhancement brings the power to analyze images and other unstructured data directly into Snowflakes query engine, using familiar SQL at scale. Unify your structured and unstructured data more efficiently and with less complexity. Introducing Cortex AI COMPLETE Multimodal , now in public preview.

article thumbnail

The Emerging Role of AI Data Engineers - The New Strategic Role for AI-Driven Success

Data Engineering Weekly

The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. How does a self-driving car understand a chaotic street scene?

article thumbnail

Data Engineering Weekly #207

Data Engineering Weekly

[link] QuantumBlack: Solving data quality for gen AI applications Unstructured data processing is a top priority for enterprises that want to harness the power of GenAI. It brings challenges in data processing and quality, but what data quality means in unstructured data is a top question for every organization.

article thumbnail

What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Challenges Faced by AI Data Engineers Just because “AI” involved doesn’t mean all the challenges go away!

article thumbnail

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?