Remove APIs Remove Banking Remove Best practices Remove Chatbots
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Banking: 5 keys to supercharging your digital strategy

Talkdesk

Almost 17,500 US bank branches closed from the beginning of 2014 to the middle of June 2020. Bank branch closures create additional costs for local business owners, making it harder to manage cash flow, maintain productivity levels and contribute to the wider local economy. Impact on small businesses. Embrace the cloud.

Banking 119
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There's a WhatsApp for That!

Smooch

Don’t confuse the WhatsApp Business app with the WhatsApp Business API. WhatsApp’s API is still in early access, along with Apple and Google’s competing business chat platforms. Kenyan farmers are using WhatsApp to grow healthier kale, according to Business Daily , and they’re “laughing all the way to the bank.”

APIs 40
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Chatbot: Complete Guide

JivoChat

Chatbots have become a success around the world, and nowadays are used by 58% of B2B companies and 42% of B2C companies. In 2022 at least 88% of users had one conversation with chatbots. There are many reasons for that, a chatbot is able to simulate human interaction and provide customer service 24h a day. What Is a Chatbot?

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. Text-to-image – Labeled data, such as pairs of , has been used to train FMs, which are able to predict the best combination of pixels. 15K available FM reference Step 1.

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Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

Chatbots 105
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Fine-tune GPT-J using an Amazon SageMaker Hugging Face estimator and the model parallel library

AWS Machine Learning

In this post, we present a guide and best practices on training large language models (LLMs) using the Amazon SageMaker distributed model parallel library to reduce training time and cost. Transformers-based models can be applied across different use cases when dealing with text data, such as search, chatbots, and many more.

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Five factors to simplify customer experience

Avaya

Consider that: Customers are well informed about the market and finding alternatives is easier than ever; whether it’s changing banks or telcos, all it takes is a few clicks for the customer to ditch your brand for the promise of another. The competitive landscape fosters innovation, but it also makes many customers less loyal.