Transforming customer service: How generative AI is changing the game

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Whether placing an order, requesting a product exchange or asking about a billing concern, today’s customer demands an exceptional experience that includes quick, thorough answers to their inquiries. They also expect service to be delivered 24/7 across multiple channels. While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots …

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Configure cross-account access of Amazon Redshift clusters in Amazon SageMaker Studio using VPC peering

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon SageMaker Studio is the first fully integrated ML development environment (IDE) with a web-based visual interface. You can perform all ML development …

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Vodafone: A DevOps approach to AI/ML through cloud-native CI/CD pipelines

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Vodafone is one of the largest telecommunications companies in the world, and committed to building next-generation connectivity and a sustainable digital future. Last year, we discussed AI Booster, an AI/ML platform that we built that runs on Google Cloud, and how we use it to optimize customer service, improve customer loyalty, and provide better product …

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