Laminar Security

JUNE 8, 2023

This widespread cloud transformation set the stage for great innovation and growth, but it has also significantly increased the associated risks and complexity of data security, especially the protection of sensitive data. The global datasphere is estimated to reach 221,000 exabytes by 2026 , 90% of which will be unstructured data.

Statistics 82

Statistics Risk Reporting Unstructured Data 82

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

CIO Business Intelligence

SEPTEMBER 30, 2024

Like many organizations, Indeed has been using AI — and more specifically, conventional machine learning models — for more than a decade to bring improvements to a host of processes. Asgharnia and his team built the tool and host it in-house to ensure a high level of data privacy and security.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

IBM Big Data Hub

OCTOBER 3, 2023

If you play fantasy football, you are no stranger to data-driven decision-making. Every week during football season, an estimated 60 million Americans pore over player statistics, point projections and trade proposals, looking for those elusive insights to guide their roster decisions and lead them to victory.

Modeling 90

Modeling Statistics Consulting Unstructured Data 90

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. Sentry permissions exported from CDH to Ranger policies on Data Lake. .

Data Lake 73

Data Lake Metadata Unstructured Data Management 73