The AI game is about performance at scale, and this requires the right foundation. Here's how to be smart when building a modern datalake.

The easiest way to conceptualize what is possible with Generative AI is to imagine a customized Large Language Model running inside your firewall.

The integration of SingleStore, a cloud-native database known for its speed and versatility, with MinIO forms an important brick in the modern datalake stack.

A Modern Datalake is one-half Data Warehouse and one- half Data Lake. It uses object storage in terms of scalability and performance.

Organizations should not build an infrastructure dedicated to AI and AI only while leaving other workloads to fend for themselves.

In mid-2024, creating an AI demo that impresses and excites can be easy. Getting to production, though, is another matter.

The term “private cloud” used to have a negative connotation, but is now viewed a lot more positively.

Here is a list of vendors and tools needed to build the modern data lake, with each entry a capability needed to support generative AI.

This paper talks to the rise and fall of Hadoop HDFS and why high-performance object storage is a natural successor in the big data world.

The public cloud doesn't deliver cost savings at scale. It delivers productivity gains, to a point, but it will not reduce your costs.

Building a production-grade RAG application demands a suitable data infrastructure to store, version, process, evaluate, and query chunks of data.

Flipping the narrative around data warehousing and AI.