Remove low-code-no-code-services
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AI-Automated Fiber Customer Installation: A Seamless Self-Service Solution

TechSee

However, the installation process for fiber optic services, particularly for residential customers, often presents significant challenges. For customers, the excitement of upgrading to a faster, more reliable internet service quickly diminishes when faced with complex setup procedures, unclear instructions, and other technical difficulties.

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Managers Are Usually to Blame for Escalations

Myra Golden Media

They’re not going to mess around with a customer service employee who feigns (or lacks) authority to resolve issues. I’ve just emailed a $25 discount code that’s valid for 30 days. That something can be as simple as a discount code. I would’ve been satisfied with a credit as low as $5 or $10.

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Amazon SageMaker simplifies setting up SageMaker domain for enterprises to onboard their users to SageMaker

AWS Machine Learning

In the S3 Bucket Access section, enter an Amazon Simple Storage Service (Amazon S3) bucket that all the domain users will have access to, then choose Next. You can also configure Canvas , Code Editor, and RStudio. Another challenge is the effort required to set up and manage the networking configurations. Choose Next. Choose Next.

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Accelerate data preparation for ML in Amazon SageMaker Canvas

AWS Machine Learning

With this integration, SageMaker Canvas provides customers with an end-to-end no-code workspace to prepare data, build and use ML and foundations models to accelerate time from data to business insights. Solution overview For our use case, we are assuming the role of a data professional at a financial services company.

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AWS and Hugging Face collaborate to make generative AI more accessible and cost efficient

AWS Machine Learning

Generative AI applications can perform a variety of tasks, including text summarization, answering questions, code generation, image creation, and writing essays and articles. The benefits are: faster training and scaling low-latency and high-throughput inference. AWS has a deep history of innovation in generative AI.

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Simplify data prep for generative AI with Amazon SageMaker Data Wrangler

AWS Machine Learning

There could also be a lot of low-quality contents or bot-generated texts, which can be filtered out using accompanying metadata (e.g., filter out customer service responses that received low customer ratings). Read and write access to an Amazon Simple Storage Service (Amazon S3) bucket. And select Python (PySpark).

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Is your chatbot contact center smart?

CX Global Media

As younger generations, that are native to technology, become mainstream participants in society, good self-service can be beneficial for customers and the contact center. Roger Jin of Rulai on low-code chatbot development in contact centers. Low-code development is coming to you. Click to Tweet . Click to Tweet.

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