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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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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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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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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. There are four types of data analytics for various marketing reasons. Most email marketers utilize behavior analysis. The diverse use of data analytics in email marketing.

Marketing 128
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7 Ways to End Dead Digital Weight on Your Website with Analytics

Smart Data Collective

The first websites predated modern analytics technology. Google Analytics wasn’t launched until 2005. However, advances in analytics over the past decade have made it easier for companies to create quality websites. Keep reading to learn more about using analytics to optimize your website.

Analytics 116
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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Another example was in new data-driven cybersecurity practices introduced by the COVID pandemic, including behavior biometrics (or biometric analytics), which were driven strongly by the global “work from home” transition, where many insecurities in networks, data-sharing, and collaboration / communication tools have been exposed.

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Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

To help you understand the potential of analysis and how you can use it to enhance your business practices, we will answer a host of important analytical questions. This is one of the most important data analytics techniques as it will shape the very foundations of your success. A data analytics methodology you can count on.