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Investing in Talent

Talented people make all the difference. Finding the right balance of talented individuals at every level of the department builds the foundation, sets the tone, and executes the message.

Vision-Language Models that See, Understand, and Speak the Language of Loss Prevention

Vision-Language Models (VLMs) combine computer vision and natural language processing to enhance retail loss prevention by not only detecting suspicious behaviors in real-time but also providing contextual understanding and actionable insights.

The Role of AI in Criminal Investigations and Law Enforcement

The article discusses the growing role of AI in criminal justice, highlighting its potential to enhance investigations through data analysis, crime prevention, and improved interrogation techniques, while also addressing concerns related to privacy, bias, accuracy, and ethical implications.
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RILA Researches the Underreporting of Retail Theft

Despite official crime stats suggesting retail theft is down, new research shows it's actually rising—underreporting, shifting policies, and strained police resources are masking the true scale of the problem and fueling a misleading public narrative.

Why Research Is Essential

Research is a systematic, evidence-based approach to understanding the world that helps us overcome personal biases, adapt to change, broaden our perspectives, support arguments with credible data, and determine what works and why—especially in fields like loss prevention.

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Violence in the Workplace

Download this 34-page special report from Loss Prevention Magazine about types and frequency of violent incidents, impacts on employees and customers, effectiveness of tools and training, and much more.

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