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“Emotion Analytics in Marketing: How AI Decodes Customer Feelings for Smarter Campaigns” Emotion Analytics is the use of AI and data tools to track, interpret, and respond to human emotions in real time. Through facial recognition, voice tone analysis, biometric feedback, and text sentiment scanning, marketers can decode how customers actually feel—not just what they say. This insight powers smarter decisions: testing which ads trigger joy, fear, or frustration, or knowing when a user is emotionally ready to buy. Brands now design experiences that shift emotional states—calming anxious buyers, exciting curious ones. Emotion analytics bridges the gap between behavioral data and human feeling, turning raw emotion into a precision marketing tool that improves engagement, loyalty, and conversion. From Only Buziness
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From December 1, Russia Will Collect Biometric Data of International Visitors at Moscow Airports Russia will collect biometric data From 1 December 2024, Russia will collect biometric data at Moscow airports to increase border security. This experi
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What are the Top 3 Data Analytics Security Threats? Rising incidents of data breaches have put a big question mark on data safety. Added to these, there is the issue of poor Data quality and more. The blog here highlights major data analytics securi
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Idea: Developing an software to analyse data within fraction of a sec and gather insights from it Elaboration: 🚀 Transforming Data into Actionable Insights In today's data-driven world, businesses often struggle to unlock the true potential of t
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Hiring Data Analytics Trainers Requirements: •Minimum 5 years of experience in data analytics •Experience delivering data analytics training programs (preferred) •In-depth knowledge and experience with at least one of the following: Power BI,Tablea
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Should I take up Data analytics course?? I am from a non tech background and as everyone is rushing into it I don't know whether I should consider to be one of them or not?? If I should please recommend me any course or platform to learn data analyt
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Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien
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