Remove Architecture Remove Data Engineering Remove Knowledge Base Remove Open Source
article thumbnail

Announcing Cloudera’s Enterprise Artificial Intelligence Partnership Ecosystem

Cloudera

We see AI applications like chatbots being built on top of closed-source or open source foundational models. Those models are trained or augmented with data from a data management platform. The data management platform, models, and end applications are powered by cloud infrastructure and/or specialized hardware.

article thumbnail

Big Data in Healthcare: Sources and Real-World Applications

Altexsoft

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116
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

The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.

article thumbnail

The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.