AI in Cybersecurity

Sentiment Analysis of COVID-19 Vaccine Tweets by Sejal Dua

The Stanford Sentiment Treebank SST: Studying sentiment analysis using NLP by Jerry Wei Human resources has historically relied on quantitative and highly structured data mainly gleaned from payroll systems and other core HR sources. The TorchText basic_english tokenizer works reasonably well for most simple NLP scenarios. Other common Python language tokenizers are in the spaCy

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Finance Transforming insurance with generative AI

Generative AI And Intermixing Of Client-Therapist Human-AI Relationships In Mental Health Therapy For example, a therapist might perceive that they have formed a real relationship with a particular client, but the client doesn’t perceive the relationship to be real. The client might express that the relationship seems shallow or tenuous. Meanwhile, the therapist might believe

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How Amazon blew Alexas shot to dominate AI, according to employees who worked on it

Conversational AI vs Generative AI: What’s the Difference? That’s I think one of the huge aha moments we are seeing with CX AI right now, that has been previously not available. CAI is already transforming customer, customer service agents and employee business interactions and experiences through mostly dialogue based conversations. Let’s explore the various strengths

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The Progressive Rise of Generative AI: A Conversation With David Wong and Joel Hron

Generative AI In Conversational Analytics: A Demo & Discussion Small and medium businesses (SMBs), in particular, face a series of pain points across the customer journey, including heavy reliance on offline marketing channels. This leads to limited reach for customer acquisition and challenges in establishing digital storefronts and managing payments. Conversational platforms can be a

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