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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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AI and cybersecurity: A double-edged sword

CIO Business Intelligence

Perhaps one of the most anticipated applications of AI in cybersecurity is in the realm of behavioral analytics and predictive analysis. By leveraging machine learning algorithms, AI can analyze user behavior and network traffic patterns, identifying anomalies that might indicate insider threats or other malicious activities.

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Database Activity Monitoring – A Security Investment That Pays Off

Smart Data Collective

Does DAM need a user behavior analytics (UBA) module? What is the role of machine learning in monitoring database activity? Do database activity monitoring systems need user behavior analytics features? How can database activity monitoring (DAM) tools help avoid these threats? How do DAM solutions work?

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10 projects top of mind for IT leaders today

CIO Business Intelligence

From AI and data analytics, to customer and employee experience, here’s a look at strategic areas and initiatives IT leaders expect to spend more time on this year, according to the State of the CIO. 1 priority among its respondents as well.

IT 142
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How to handle a ransomware attack 

IBM Big Data Hub

Regardless of your decision, you should always consult with law enforcement officials and cybersecurity professionals before moving forward. 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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Spear phishing vs. phishing: what’s the difference?

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. Based on projected results of a composite organization modeled from four interviewed IBM customers.

B2B 97
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Types of cyberthreats

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. Based on projected results of a composite organization modeled from 4 interviewed IBM customers.

IoT 101