Behavioral Analytics and Big Data

Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

JULY 30, 2018

Behavioral analytics (predictive and prescriptive). Agile analytics (DataOps). To illustrate and to motivate these emerging and growing developments in marketing, we list here some of the top Machine Learning trends that we see: Hyper-personalization (SegOne context-driven marketing).

Machine Learning

Machine Learning Marketing Behavioral Analytics IoT

Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

MARCH 25, 2019

This centralized mix of information provides a real insight into how people interact with your website, content, and offerings, helping you to identify weaknesses, capitalize on strengths, and make data-driven decisions that can benefit the business exponentially. Data Analysis In The Big Data Environment.

Key Performance Indicator

Key Performance Indicator Statistics Big Data Visualization

The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

Smart Data Collective

APRIL 18, 2019

There’s no question that the term is popping up everywhere as enterprises yearn to turn big data into a competitive edge. Everyone wants to leverage machine learning, behavior analytics, and AI so IT teams can “up the ante” against attackers. The same goes for cybersecurity. Final Thoughts.

Behavioral Analytics

Behavioral Analytics Advertising Uncertainty Machine Learning

Webinars

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

JULY 6, 2021

AIOps appears in discussions related to ITIM (IT infrastructure monitoring), SIEM (security information and event management), APM (application performance monitoring), UEBA (user and entity behavior analytics), DevSecOps, Anomaly Detection, Rout Cause Analysis, Alert Generation, and related enterprise IT applications.

Machine Learning

Machine Learning Data-driven Deep Learning IoT

2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm. They are: Innovations in automation.

Machine Learning

Machine Learning Software Behavioral Analytics Deep Learning

What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. 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.

Testing

Testing Behavioral Analytics Data-driven Big Data

How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?

Smart Data Collective

APRIL 20, 2023

It unifies the capabilities of several different tools, such as: Sandboxing — to test the code in an isolated environment and determine whether it’s malicious User and Entity Behavior Analytics (UEBA) — for identifying anomalies Network Detection and Response (NDR) — to detect known threats within the network of a company Next-Gen SIEM is suitable (..)

Machine Learning

Machine Learning Reporting Behavioral Analytics Risk

Traditional security with a universally high adoption across all sectors

BI-Survey

NOVEMBER 28, 2018

When it comes to security analytics, one should look at the Real-Time Security Intelligence products on-premises or as managed services, as well as more specialized products like User Behavior Analytics. Big Data and Information Security Report.

Manufacturing

Manufacturing Behavioral Analytics Big Data Finance

Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

OCTOBER 17, 2022

Most email marketers utilize behavior analysis. It’s likely because this data is easy to access. Most email marketers display this data on their dashboards. Most marketers assume behavior analytics are enough since they’re so valuable.

Marketing

Marketing Optimization Data Analytics Analytics

How to handle a ransomware attack

IBM Big Data Hub

JANUARY 22, 2024

IBM Security® QRadar® SIEM applies machine learning and user behavior analytics (UBA) to network traffic alongside traditional logs for smarter threat detection and faster remediation.

Consulting

Consulting Behavioral Analytics Reporting Insurance

Types of cyberthreats

IBM Big Data Hub

SEPTEMBER 1, 2023

IBM Security® QRadar® SIEM applies machine learning and user behavior analytics (UBA) to network traffic alongside traditional logs for smarter threat detection and faster remediation.

IoT

IoT Internet of Things Software Behavioral Analytics

Spear phishing vs. phishing: what’s the difference?

IBM Big Data Hub

SEPTEMBER 20, 2023

IBM Security® QRadar® SIEM applies machine learning and user behavior analytics (UBA) to network traffic alongside traditional logs for smarter threat detection and faster remediation.

B2B

B2B Behavioral Analytics Reporting Machine Learning

G2 Summer Reports name IBM a Leader

IBM Big Data Hub

JUNE 21, 2023

Reports showcase vendors that excel in three key areas: Ease of implementation Ease of use Relationship ratings Highlights of IBM’s leadership Ranked #1 in 135 unique reports: Instana, an IBM Company ranked #1 in the AIOps Platforms, Application Performance Monitoring (APM), Observability Solution Suites, Container Monitoring, Log Analysis, and (..)

Reporting

Reporting Uncertainty Behavioral Analytics Enterprise

What is a phishing simulation?

IBM Big Data Hub

AUGUST 9, 2023

IBM Security® QRadar® SIEM applies machine learning and user behavior analytics (UBA) to network traffic alongside traditional logs for smarter threat detection and faster remediation.

Testing

Testing Measurement Behavioral Analytics Statistics

Research shows extensive use of AI contains data breaches faster and saves significant costs

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

Cost-Benefit Machine Learning Consulting Data mining

New SIEM Alternative Offers Excellent Data Security Features

Smart Data Collective

OCTOBER 16, 2022

Open XDR improves XDR by covering all data from existing security components, not just proprietary data. NextGen SIEM may already be using Big Data technologies , UEBA and other security tools, improved user interfaces and experiences, SOAR integration, and plugins for data modeling.

Data Lake

Data Lake Behavioral Analytics Big Data Enterprise

Data Leaders Brief

Machine Learning Making Big Moves in Marketing

Your Modern Business Guide To Data Analysis Methods And Techniques

Webinars

Trending Sources

The Impact Of AI On Cybersecurity: Are Humans Still Your Best Asset?

Webinars

Top 10 Data Innovation Trends During 2020

2 Innovations That Can Tip the Balance in Cybersecurity

What Are the Most Important Steps to Protect Your Organization’s Data?

How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?

Traditional security with a universally high adoption across all sectors

Email Marketers Use Data Analytics for Optimal Customer Segmentation

How to handle a ransomware attack

Types of cyberthreats

Spear phishing vs. phishing: what’s the difference?

G2 Summer Reports name IBM a Leader

What is a phishing simulation?

Research shows extensive use of AI contains data breaches faster and saves significant costs

New SIEM Alternative Offers Excellent Data Security Features

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