CDW Research Hub

JANUARY 8, 2020

A solid understanding of your data is a good place to start. Use a data classification strategy to help you identify the varying values of your data so you can treat it accordingly. Use data intelligence for better threat response. Cut through the complexity with these three crucial strategies for improved cybersecurity.

Strategy 52

Strategy Business Driver Behavioral Analytics Risk 52

IBM Big Data Hub

AUGUST 14, 2023

2] Using existing data in QRadar SIEM, the User Behavior Analytics app (UBA) leverages ML and automation to establish the risk profiles for users inside your network so you can react more quickly to suspicious activity, whether from identity theft, hacking, phishing or malware so you can better detect and predict threats to your organization.

Cost-Benefit 58

Cost-Benefit Machine Learning Consulting Data mining 58

Rocket-Powered Data Science

JULY 6, 2021

In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. 2) MLOps became the expected norm in machine learning and data science projects.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

CDW Research Hub

SEPTEMBER 6, 2022

Just as importantly, it provides access to your customer behaviors through data collection while customers interact with those sites. Identity and access management (IAM) has become the cornerstone of enterprise security. IAM is critical to an organization’s successful. B2B access management. Reduced risk.

Management 93

Management B2B Behavioral Analytics Risk 93