APIs Chatbots Government Personalization 
Comm100
NOVEMBER 21, 2023
Despite its ubiquity, AI has been underutilized in government affairs. While many lawmakers have weighed the antitrust implications of AI, not many in the public sector have sought out ways in which the technology can improve governance. Regardless, AI can help governments cut spending and bring people closer to their representatives.
AWS Machine Learning
MARCH 1, 2024
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.
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Comm100
DECEMBER 12, 2023
From nuanced personalization powered by AI to the seamless experience of omnichannel, these trends are not mere shifts – they’re transformative forces. Unlike chatbots powered by NLP (natural language processing) that rely on pre-programmed responses and rules, Generative AI chatbots can generate new responses in real-time.
NobelBiz
APRIL 23, 2024
this is governed by the Fair Debt Collection Practices Act (FDCPA), which sets guidelines on how collectors can conduct themselves, the times and methods by which they can contact debtors, and the actions they are prohibited from taking. This level of personalization can significantly enhance the effectiveness of collection efforts.
Comm100
NOVEMBER 13, 2022
Today’s customers look for fast, convenient, and personalized support that allows them to connect with brands how, where, and when they want. Another of the growing customer service technology trends has seen a rise in chatbots and automation. Canadian Blood Services introduced Comm100 AI Chatbot with this goal: .
AWS Machine Learning
SEPTEMBER 1, 2023
Note that multiple personas can be covered by the same person depending on the scaling and MLOps maturity of the business. Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. Example use cases are clothing design generation or imaginary personalized images.
AWS Machine Learning
SEPTEMBER 14, 2023
Despite using Amazon Comprehend to filter out personal data that may be provided through user queries, there remains a possibility of unintentionally surfacing personal or sensitive information, depending on the ingested data. Identifying users and their actions allows the solution to maintain traceability.
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