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Social Data Analysis: The Pros and Cons of Social Data

Oktopost

Social data analysis requires the right tools and thought processes to collect, analyze, interpret, and apply the data accurately. What Are The Key Components of Social Data Analysis? Additionally, monitor keywords, hashtags, and sentiment analysis to understand how your audience perceives your brand.

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How to Safeguard Patient Privacy in Healthcare with Data Masking

BeingOptimist

Patient privacy is a major concern for healthcare organizations today. Such breaches not only violate patient privacy but also damage the reputation and finances of healthcare organizations. Data masking ensures privacy compliance. HIPAA and other regulations mandate healthcare organizations to protect patient privacy.

Privacy 40
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The Anti-Social Super Bowl: Where Social Integrations Were Missing from The Big Game

Ignite Social Media

In our analysis of over 60 commercials that aired during the 2024 Super Bowl, we found that only a handful utilized hashtags or prompted viewers to connect on social. This may have been an attempt to avoid relying on third-party data from social platforms due to new data privacy laws.

Analysis 157
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The role of artificial intelligence in business in 2024

Sprout Social

NLP and sentiment analysis Natural Language Processing (NLP) and sentiment analysis enable businesses to understand and interpret human language, making them essential tools for analyzing customer feedback, social media content and other textual data while automating report generation.

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Cyber Background Checks: Navigating the New Normal

BeingOptimist

They play a pivotal role in making informed choices in sectors ranging from employment to rentals, while navigating a complex maze of legality, privacy, and ethics. The activity falls under different federal and state laws pertaining to privacy, information security, data protection, and employment rights.

Privacy 81
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The Role of AI in Optimizing Auto Dialing Campaigns

BeingOptimist

Through advanced techniques like natural language processing (NLP) and sentiment analysis, AI-powered dialers can understand customer sentiments during calls, adapt their approach accordingly, and provide a more engaging and personalized experience. Clean and structure the data to facilitate effective training and analysis of AI algorithms.

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AI ethics: How marketers should embrace innovation responsibly

Sprout Social

Our community discussed several risks including privacy infringement, manipulation of public opinion and autonomous weapons. Watch the video below to hear their hot takes on the benefits and fears of AI, including job replacement: Privacy concerns Concerns surrounding data privacy, protection and security are top of mind for brands.