Remove en solutions optimizing-customer-service
article thumbnail

Boost your forecast accuracy with time series clustering

AWS Machine Learning

AWS provides various services catered to time series data that are low code/no code, which both machine learning (ML) and non-ML practitioners can use for building ML solutions. Solution overview Clustering is an unsupervised ML technique that groups items together based on a distance metric. to avoid overfitting.

article thumbnail

[#MeetAJohnPaulee] Julien Gil, Business Developer

John Paul

Our mission is to help our clients (usually big brands in various industries such as automotive, financial services, luxury…) to optimize their customer journey and enrich the existing loyalty programs in order to propose a seamless experience to the final customers. How long have you been working at John Paul?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. You can use AWS services like AWS CodePipeline and AWS CodeBuild to build, test, and deploy your Amazon Lex bot automatically.

article thumbnail

AI-Human Hybrid – The Right Customer Service Chatbot Solution at The Right Time

TechSee

With all the AI hype in 2017, the customer service industry expected smart machines to truly transform the customer experience. Today’s AI-based customer service chatbots still require human intervention to help provide that context, enabling a better understanding of the bigger picture. Enhance human capacity.

article thumbnail

Explain medical decisions in clinical settings using Amazon SageMaker Clarify

AWS Machine Learning

This can help reduce operational overhead costs and provide optimal care for patients. Solution overview SageMaker Clarify provides ML developers with purpose-built tools to gain greater insights into their ML training data and models. You also use a custom inference script to do the predictions within the container.

article thumbnail

Voice assistants: what are the advantages for brands and their clients?

John Paul

Simplified access to concierge services. The capability to integrate with smart home assistants such as Siri, Alexa, or Cortana, will offer another channel of convenience and access to our customers. Predictive voice analytics data will be applied to help optimize our Concierge teams’ overall performance.

Brands 45
article thumbnail

Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Fine-tune the pre-trained model on a new custom dataset.

Metrics 73