Rocket-Powered Data Science

JULY 6, 2021

Another example was in new data-driven cybersecurity practices introduced by the COVID pandemic, including behavior biometrics (or biometric analytics), which were driven strongly by the global “work from home” transition, where many insecurities in networks, data-sharing, and collaboration / communication tools have been exposed.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Smart Data Collective

FEBRUARY 20, 2022

Does DAM need a user behavior analytics (UBA) module? Do database activity monitoring systems need user behavior analytics features? In the case of mature solutions that have been on the market for a long time, it is easier to find qualified administrators. DAM market trends and forecasts.

Behavioral Analytics 115

Behavioral Analytics Risk Machine Learning Interactive 115

Smart Data Collective

APRIL 18, 2019

Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. Today, the security market includes a dizzying array of technology-based products that all make a very bold claim–to automate the collection, correlation, and analysis of everything happening on your network.

Behavioral Analytics 77

Behavioral Analytics Advertising Uncertainty Machine Learning 77

datapine

MARCH 25, 2019

To help you understand the potential of analysis and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This is one of the most important data analytics techniques as it will shape the very foundations of your success. A data analytics methodology you can count on.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

CIO Business Intelligence

APRIL 19, 2022

But the market demands something more, in the form of end-to-end automation capabilities that push beyond efficiency into other outcomes such as innovation, growth, and true business resiliency. The approach has value, evidenced by the size of the RPA and process mining markets. In many cases, the outcomes are limited to efficiency.

Digital Transformation 103

Digital Transformation Insurance ROI Business Objectives 103

BizAcuity

MAY 4, 2021

Ensuring mergers and acquisitions perform successfully, having capable data integration objectives to rationalize, consolidate, migrate, and integrate data between operational and analytical systems is critical for gaming companies to stay ahead of the competition and player journey insights. . Enhances Player Retention.

Data Integration 40

Data Integration Cost-Benefit Optimization Behavioral Analytics 40

CIO Business Intelligence

JUNE 10, 2022

Despite some marketers pitching VPNs as cybersecurity tools, VPNs don’t attempt to scan what is in their encrypted tunnels. Deploying behavioral analytics, continuous authentication, and machine learning (ML) together for anomaly detection. Taking a strict view of least privilege for access control.

Enterprise 88

Enterprise Behavioral Analytics Data Processing Machine Learning 88

Smart Data Collective

APRIL 13, 2021

Stolen data can be sold on the black market or used for extortion like in the case of ransomware. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources. The instances of data breaches in the United States are rather interesting.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

CDW Research Hub

AUGUST 24, 2020

Some solution providers may provide integration to other solutions on the market through APIs, and others through native integrations within their product suite, such as is available when RSA SecureID and NetWitness are combined. Through user and entity behavior analytics (UEBA), risky behavior associated with a user is identified.

Risk 52

Risk Behavioral Analytics Consulting Measurement 52