DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Most modern artificial intelligence systems are powered by machine learning algorithms , which learn by example. Humans and AI Best Practices.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 108

IT Data Architecture Unstructured Data Big Data 108

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 75

IT Data Architecture Unstructured Data Big Data 75

Ontotext

JANUARY 10, 2024

Maintaining integrity and leveraging complexity As global businesses have to analyze data across different systems, they need a holistic view that allows them to perform deeper analysis and get richer insights. In order to integrate structured data, enterprises need to implement the data fabric pattern.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Sisense

JUNE 30, 2020

When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. Visua l analytics does the “heavy lifting” with data, by using a variety of processes — mechanical, algorithms, machine learning , natural language processing, etc — to identify and reveal patterns and trends.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. A data fabric is comprised of a network of data nodes (e.g.,

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

DataRobot Blog

APRIL 1, 2018

For those of you who did not attend the summit, we have cited Gartner research as the sessions predominantly reflected the most recent Gartner published papers. 1) People and machines come together to create a more powerful and agile experience. 2) Line of business is taking a more active role in data projects.

Analytics 40

Analytics IoT Internet of Things B2B 40

IBM Big Data Hub

NOVEMBER 3, 2023

Unlike magnetic storage (such as HDDs and floppy drives) that store data using magnets, solid-state storage drives use NAND chips, a non-volatile storage technology that doesn’t require a power source to maintain its data. What is NVMe?

Cost-Benefit 76

Cost-Benefit Enterprise Internet of Things Technology 76

CDW Research Hub

AUGUST 14, 2019

A previous version of this article was published on Medium. In this post, we’ll look at structuring happy and unhappy conversation paths, various machine learning policies and configurations to improve your dialogue model, and use a transfer learning-based language model to generate natural conversations.

Interactive 53

Interactive Modeling Machine Learning Testing 53

Cloudera

NOVEMBER 25, 2020

The data challenge is just one dimension, Matthew expressed open concern around how they will meet their – now much larger – organization’s needs with limited resources and without extensive funding for additional IT. Scale to provide 1,000s of researchers frictionless interaction with data.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Jet Global

MAY 9, 2024

Data Migration Pipelines : These pipelines move data from one system to another, often for the purpose of upgrading systems or consolidating data sources. For example, migrating customer data from an on-premises database to a cloud-based CRM system. What is an ETL pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52