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Fraud Detection to Prevention: AI’s Impact on Insurance Industry

Fraud Detection to Prevention: AI’s Impact on Insurance Industry Insurance fraud remains a significant problem in the industry, causing insurers worldwide to lose billions of amount each year due to deceitful claims. This issue is most prevalent in motor, health, and Life Insurance. Fraudulent activities not only drain resources but also lead to increased costs, […]
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Gen-AI vs Humans: The Future of Intelligence

As we advance into the digital age, the interaction between Generative AI (Gen-AI) and human intelligence is revolutionizing how we perceive capabilities and potential. Both Gen-AI and humans bring unique strengths to the table, and their collaboration holds immense promise for the future. Let’s explore these strengths and the potential of their synergy. Strengths of […]
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Tag Management for IoT Analytics

BACKGROUND: Analytics of Internet of Things (IoT) is a need for today. Still, being a fairly new addition to the technological world, it faces its own set of challenges due to a major gap in structuring the data in the format which could be ideal for any type of analytics or insight preparation. In this […]
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SAS® CI 360 Integration with Twilio Voice App

Introduction What if every time customers interacted with you, they got exactly what they needed or wanted, with minimal effort? Consider SAS® Customer Intelligence 360 to get detailed insight from the digital channels where your customers interact with your brand the most. In this blog we discuss the SAS® CI 360 Integration with Twilio Voice […]
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Using the SAS® Content Categorization Studio

n my last blog, I have covered Text Analysis and Text Parsing. In this blog I am going to cover Text Analystics module i.e. SAS Content Categorization Studio. By using SAS Content Categorization Studio we can categorize the unstructured text data. This process is known as building taxonomy. By building Taxonomy we can identify major […]
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Using the SAS® Sentiment Analysis Studio

Every comment, blog, article or social media post etc. has their own sentiment. Sentiment analysis is contextual mining of text which identifies and extracts subjective information in source material, and helping a business to understand the social sentiment of their brand, product or service while monitoring online conversations. However, analysis of social media streams is […]
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