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AI & CS: Innovate or stagnate

Totango

Embracing AI presents challenges and some uncertainties with regard to optimal data consolidation, ubiquitous governance and regulation, and succinct experimentation and process updates. AI-powered chatbots, automated tasks, and workflows from tools like Help Scout, Custify, and Zendesk can streamline support processes.

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning

LLMs are designed to understand and generate human-like language, and are used in many industries, including government, healthcare, financial, and intellectual property. Most current LLM chatbot solutions explicitly inform users that they should not include PII or PHI when inputting questions due to security concerns.

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Enhancing Public Services: The Power of Digital Engagement Tools

Zappix

Digital engagement tools have emerged as a cornerstone in transforming how government agencies interact with citizens, ensuring efficiency, accessibility, and satisfaction. Through interactive websites, mobile apps, and chatbots, citizens could access real-time updates and guidance, fostering a sense of community resilience and unity.

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The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

Account Setup and Verification : Upon receiving a debt, the agency sets up an account for the debtor and verifies all the details. Call centers are equipped with tools that allow agents to quickly access a debtor’s full account information, ensuring that every interaction is informed and constructive. In the U.S.,

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Consider your security posture, governance, and operational excellence when assessing overall readiness to develop generative AI with LLMs and your organizational resiliency to any potential impacts. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

For example, if you have want to build a chatbot for an ecommerce website to handle customer queries such as the return policy or details of the product, using hybrid search will be most suitable. Contextual-based chatbots – Conversations can rapidly change direction and cover unpredictable topics. As of 2024, Jeffrey P.

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