Remove Behavioral Analytics Remove Big Data Remove IoT
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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Behavioral analytics (predictive and prescriptive). Agile analytics (DataOps). Journey Sciences (using graph and linked data modeling). Context-based customer engagement through IoT (knowing the knowable via ubiquitous sensors). Real-time sentiment analysis and response (social customer care).

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

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. will look like).

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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. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm. They are: Innovations in automation.

Software 145
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Types of cyberthreats

IBM Big Data Hub

Internet of things (IOT) attack In an IoT attack, cybercriminals exploit vulnerabilities in IoT devices, like smart home devices and industrial control systems, to take over the device, steal data, or use the device as a part of a botnet for other malicious ends.

IoT 101