From Machine Learning to AI: Simplifying the Path to Enterprise Intelligence

For years, Cloudera’s platform has helped the world’s most innovative organizations turn data into action. As the AI landscape evolves from experiments into strategic, enterprise-wide initiatives, it’s clear that our naming should reflect that shift. That’s why we’re moving from Cloudera Machine Learning to Cloudera AI.

Snow Report: What's Happening At Snowflake In January

This month's edition of Snow Report provides details on upcoming must-attend events, such as AI & Data Predictions 2025, Startup Demo Day, and Gen AI Day. The newsletter also contains some important product announcements, a list of recommended resources, and details about the launch of this year's Startup Challenge.

Taking a Unified Approach to Hybrid Cloud Modernization

Over 70% of global enterprises generate, store and use their data in hybrid environments. But while hybrid cloud adds flexibility, it also introduces complexity. This often leads to customers avoiding implementation of mixed virtualization and container platforms in order to prevent additional complexity and to address talent shortages, as each platform is intricate and requires specialized skills.

Build RAG and Agent-based AI Apps with Anthropic's Claude 3.5 Sonnet in Snowflake Cortex AI

Today, we are excited to announce the general availability of Claude 3.5 Sonnet as the first Anthropic foundation model available in Snowflake Cortex AI. Customers can now access the most intelligent model in the Claude model family from Anthropic using familiar SQL, Python and REST API interfaces, within the Snowflake security perimeter.

Transforming Business Decisions with Predictive AI in Qlik Cloud: 2024 in Review

Business leaders today face a critical challenge: How do you move from analyzing what happened to confidently predicting and shaping what comes next? Throughout 2024, we've enhanced Qlik Cloud's predictive AI capabilities to help organizations bridge this gap, enabling them to predict future outcomes, understand key drivers, and take informed action.

Stop Treating Your LLM Like a Database

This article was originally published on The New Stack on Dec. 19, 2024. Imagine driving a car with a headset that only updates your view every five minutes instead of providing a continuous video stream. How long would it take before you crashed? While this type of batch processing clearly doesn’t work in the real world, it's how many systems operate today. Batch processing, born out of outdated technology constraints, forces applications to rely on static, delayed data.

How to Create a Dashboard in Yellowfin: Step-by-Step Guide

Welcome to the final entry in Yellowfin Japan’s long-running ‘How to?’ blog series! This series of blogs has aimed to to provide your team with a step-by-step guide of how to create your own Yellowfin dashboard, starting from the design and data transformation flow, all the way to creating rich data visualizations and using the right report filters.