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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

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).

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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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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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Why You Need to Get on the Zero Trust Network Access Express Lane

CIO Business Intelligence

Behavioral analytics and least-privilege access. Like continuous authentication, ZTNA uses behavioral analytics. ZTNA is the network implementation of zero trust, which uses multiple techniques to deliver far better security as well as ease-of-use and ROI.

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Four Reasons Why Retail Analytics Solutions Are Important

bridgei2i

Customer Behavior Analytics. Customer behavior analytics in retail helps to access information about the customers from various channels through which they interact with the channel. It unifies and aggregates the data to provide meaningful insights about present trends in customer behavior.

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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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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. They are: Innovations in automation.

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