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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. 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).

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When the Voice of the Customer Actually Talks

Rocket-Powered Data Science

Other data sources include purchase patterns, online reviews, online shopping behavior analytics, and call center analytics. As good as these data analytics have been, collecting data and then performing pattern-detection and pattern-recognition analytics can be taken so much further now with AI-enabled customer interactions.

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How to use data detection and response (DDR) to gain early warning into data leakage from insider threats

Laminar Security

DDR is a data security solution that leverages artificial intelligence, machine learning, and behavioral analytics to monitor, detect, and respond to data activity across endpoints, networks, cloud, and applications. DDR covers all data sources, destinations, users, and behaviors. How does DDR work?

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2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field.

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

IBM Big Data Hub

The newly launched IBM Security QRadar Suite offers AI, machine learning (ML) and automation capabilities across its integrated threat detection and response portfolio , which includes EDR , log management and observability, SIEM and SOAR.

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How to handle a ransomware attack 

IBM Big Data Hub

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.

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What is a phishing simulation?

IBM Big Data Hub

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.

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