IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Data science 54

Data science Big data Analytics Mining 54

Schneier on Security

FEBRUARY 3, 2022

The field of data science aims to solve them. ” Making sense of vast stores of unclear, often stolen data in hundreds of languages and even more technical formats remains one of the directorate’s enduring tasks.

Big data 112

Big data Data science Mining Access 112

IBM Big Data Hub

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. These models have been trained on IBM curated datasets that have been mined to remove hateful, abusing and profane text (HAP).

Analytics 62

Analytics Data science Cloud Metadata 62

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. Thankfully, the IBM Z platform is designed to be one the most securable platforms.

Analytics 85

Analytics Cloud IoT Paper 85

Adam Shostack

MAY 20, 2020

Understanding the way intrusions really happen is a long-standing interest of mine. The US Government has some interesting advantages: a large collection of attractive targets, a mandate that all CFO agencies have a security process, published investments in security, a large and skilled incident response force.

Mining 49

Mining Government Phishing Cloud 49

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Analytics 103

Analytics Blockchain Artificial Intelligence Big data 103

Bill Schmarzo - Dell EMC

FEBRUARY 14, 2018

See “ Analytic Profiles: Key to Data Monetization ” for more details on Analytic Profiles. See “ Optimizing the Customer Lifecycle With Customer Insights ” for more details on leveraging big data and data analytics to optimize your customer’s lifecycle. Figure 4: Optimizing the Customer Lifecycle. Follow the Customer Summary.

Artificial Intelligence 102

Artificial Intelligence Analytics Customer Experience Big data 102