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The Rise Of Messaging In Customer Service

Nicereply

WhatsApp started in 2009, but it took off after Facebook acquired it in 2009. Currently, WhatsApp offers two business messaging solutions – WhatsApp Business App and WhatsApp Business API. Meanwhile, WhatsApp Business API is the service’s dedicated app for medium and large businesses. WhatsApp Business API.

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5 Ways to Apply AI and Win Back Business

CSM Magazine

Facilitating customer self-service using automated contact channels, such as IVR and chatbots is a recognised method of reducing strain on contact centers during spikes in demand. Deploying a range of chatbots, each suited to a specific task, can greatly enhance the customer experience and deliver substantial benefits to the business.

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How to Improve Customer Service – A Complete Guide of Tools, Tech & Tips

Comm100

Another of the growing customer service technology trends has seen a rise in chatbots and automation. Thanks to improvements in AI and automation technologies, chatbots can now handle as much as 80% of customer needs. The primary way that organizations are introducing automation to customer service is with the adoption of chatbots. .

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The 9 Best Email Support Ticketing Systems 2020 – Reviews & Comparison

Comm100

Founded in 2009 in Vancouver, Canada, Comm100 was launched as a live chat and email ticketing solution aimed at helping businesses stay ahead of the digital curve. The Comm100 system now includes a full digital omnichannel solution combining live chat, email, social media, SMS, chatbots, and knowledge base, all in one.

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Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning

We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies. Use cases include custom chatbots, idea generation, entity extraction, classification, and sentiment analysis.

Finance 66
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Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning

We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies. Use cases include custom chatbots, idea generation, entity extraction, classification, and sentiment analysis.

Finance 52