Fri.Nov 24, 2023

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Automating product description generation with Amazon Bedrock

AWS Machine Learning

In today’s ever-evolving world of ecommerce, the influence of a compelling product description cannot be overstated. It can be the decisive factor that turns a potential visitor into a paying customer or sends them clicking off to a competitor’s site. The manual creation of these descriptions across a vast array of products is a labor-intensive process, and it can slow down the velocity of new innovation.

APIs 118
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AI Concerns in Customer Service: Addressing Key Issues

Anexa BPO

Although Artificial Intelligence (AI) streamlines customer service processes and optimizes workflow efficiency, it continues to raise questions among CX professionals. However, it’s important to address AI concerns in CX with honest answers that put things into perspective and help overcome key issues. Issue #1: Does AI disrupt customer satisfaction?

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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

AWS Machine Learning

This post is co-written with Marc Neumann, Amor Steinberg and Marinus Krommenhoek from BMW Group. The BMW Group – headquartered in Munich, Germany – is driven by 149,000 employees worldwide and manufactures in over 30 production and assembly facilities across 15 countries. Today, the BMW Group is the world’s leading manufacturer of premium automobiles and motorcycles, and provider of premium financial and mobility services.

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Assessing the Influence of Customer Engagement

Anexa BPO

Customer engagement is a critical differentiator for your business. Understanding all the touchpoints your customers interact with your brand, from your products or services to your customer service team and content to the technology you use, offers important insights into critical moments and opportunities to create meaningful experiences. Engagement drives the emotional connections customers develop as they interact with your brand, elevating their level of involvement and nurturing loyalty.

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The Contact Center Manager’s Guide to AI

Step-by-step instructions on how to use AI for growth in your contact center Learn how AI can transform your contact center operations. In this ebook, dig into the different AI technologies, then see how each can help automate tasks, streamline service, and turn your contact center from a cost center to a profit house. Plus, we’ll give you practical tips on choosing the right AI tools, getting them up and running, and measuring their impact.

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7 B2B Upsell Strategies that Work Wonders

SmartKarrot

In the dynamic realm of B2B, where every move counts, mastering the art of upselling is no longer a mere choice but a strategic imperative. As a seasoned customer success expert navigating the intricate landscapes of technical and highly educated users, I’ve witnessed firsthand the transformative power of upselling in achieving account expansion and fueling revenue growth.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

AWS Machine Learning

This post was co-written with Greg Benson, Chief Scientist; Aaron Kesler, Sr. Product Manager; and Rich Dill, Enterprise Solutions Architect from SnapLogic. Many customers are building generative AI apps on Amazon Bedrock and Amazon CodeWhisperer to create code artifacts based on natural language. This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java,

APIs 110
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Optimizing costs for Amazon SageMaker Canvas with automatic shutdown of idle apps

AWS Machine Learning

Amazon SageMaker Canvas is a rich, no-code Machine Learning (ML) and Generative AI workspace that has allowed customers all over the world to more easily adopt ML technologies to solve old and new challenges thanks to its visual, no-code interface. It does so by covering the ML workflow end-to-end: whether you’re looking for powerful data preparation and AutoML, managed endpoint deployment, simplified MLOps capabilities, and ready-to-use models powered by AWS AI services and Generative AI, SageM

APIs 117