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Technology Spotlight: Open Data Lakehouse for Private Cloud

Cloudera emphasizes the importance of trusted data for reliable AI. We've introduced Open Data Lakehouse for private cloud, incorporating Apache Iceberg for enhanced data management and security. This empowers analysts and data scientists with direct access to all data, including real-time streaming. Iceberg's capabilities reduce silos, lower storage costs, and mitigate business risks. We also focus on scalability, introducing features like snapshots and user quotas in Apache Ozone. Cloudera prioritizes enterprise readiness with Zero Downtime Upgrades and broader hardware and software support.

Telecommunications Data Monetization Strategies in 5G and beyond with Cloudera and AWS

The world is awash with data, no more so than in the telecommunications (telco) industry. With some Cloudera customers ingesting multiple petabytes of data every single day— that’s multiple thousands of terabytes!—there is the potential to understand, in great detail, how people, businesses, cities and ecosystems function.

Fine-Tuning a Foundation Model for Multiple Tasks

In this video we discuss the reasons why fine-tuning is needed to create mroe contextual accurate LLMs, and the methods that you can do to accomplish this. We also give a demo of our newest Applied ML Prototype (AMP) which demonstrates how to implement LLM fine-tuning jobs that make use of the QLoRA and Accelerate implementations available in the PEFT open-source library from Huggingface and an example application that swaps the fine-tuned adapters in real time for inference targetting different tasks. Learn more at cloudera.com#ai #ml.

Revolutionize Your Data Experience With Cloudera on Private Cloud

In the age of the AI revolution, where chatbots, generative AI, and large language models (LLMs) are taking the business world by storm, enterprises are fast realizing the need for strong data control and privacy to protect their confidential and commercially sensitive data, while still providing access to this data for context-specific AI insights.

Marketing Success in the Age of AI Requires a Modern Marketing Data Stack

Data is essential to marketing. It’s how we know our audience and measure campaign outcomes. It shows us where to adjust a campaign on the fly, for even better results. But working with data is increasingly complex, and having the right stack of technologies is invaluable.