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Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning

def process_invoice(s3_client: S3Client, bedrock_client: BedrockRuntimeClient, bucket_name: str, pdf_file_key: str) -> Dict[str, str]: """ Process a single invoice by downloading it from S3 and using Bedrock to analyze it. Defaults to "". endswith('.pdf'): endswith('.pdf'): If you have questions or suggestions, leave a comment.

e-support 104
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Sabio Group’s New E-Book Redefines the Role of CRM in Customer Experience Transformation

CSM Magazine

Sabio Group, the digital experience transformation services specialist, has launched a new e-book which takes a deep dive into the role that Customer Relationship Management (CRM) systems play in shaping and orchestrating modern customer journeys. CRM is no longer just a tool for routine marketing activities and sales administration.

CRM 52
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Voice of Customer Examples: How Different Industries Use VoC Insights

Thematic

Download VoC Handbook Voice of Customer Made Easy: The Professionals’ VoC Handbook Written by a CX expert, this handbook simplifies VoC strategies and helps you get the most from customer feedback. What's inside: Easy-to-follow VoC strategies Tips for analyzing feedback Plus: Bonus VoC checklist Download your free copy today!

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How to Reduce Returns: 8 Tried & True Tactics

TechSee

In this article we will discuss how to reduce returns in e-commerce and explore a number of tried and true strategies. An additional tried and true tactic used to solve the problem of how to reduce returns in e-commerce is to implement digital onboarding. Restocking Fees. Digital Onboarding. What is digital onboarding? Diagnostics.

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Talk to your slide deck using multimodal foundation models hosted on Amazon Bedrock and Amazon SageMaker – Part 2

AWS Machine Learning

In File Browser , traverse to the notebooks folder to see notebooks and supporting files. This notebook will download a publicly available slide deck , convert each slide into the JPG file format, and upload these to the S3 bucket. Complete the following steps: On the SageMaker console, choose Notebooks in the navigation pane.

e-support 125
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Pre-training genomic language models using AWS HealthOmics and Amazon SageMaker

AWS Machine Learning

The ability to effectively analyze and interpret genomic data at scale is the key to precision medicine, agricultural optimization, and biotechnological breakthroughs, making genomic language models a possible new foundational technology in these industries. A second SageMaker notebook is used to start the training job on SageMaker.

Training 106
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How to Use Automation Without Losing Personalization: Achieving an Efficient & Effective CX Strategy

Kustomer

Ensuring your team can deliver exceptional support while staying efficient is no longer a nice-to-have, but now essential for your business to succeed. Brands might wonder how they are supposed to do more with less all while supporting growing consumer expectations. Leverage Technology to Augment Your Team’s Efficiency.