APIs Big data Customer Experience Engineering 
AWS Machine Learning
APRIL 24, 2023
According to a PWC report , 32% of retail customers churn after one negative experience, and 73% of customers say that customer experience influences their purchase decisions. In the global retail industry, pre- and post-sales support are both important aspects of customer care.
Hello Customer
JUNE 21, 2023
Of course, offering this kind of experience is unfeasible. But what organizations can do is reverse engineer that 11-star experience. By thinking about what they want to achieve exactly with customer experience, they can take a step back and define what a 6- or 7-star experience would look like.
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ConvergeOne
DECEMBER 7, 2021
The purpose of this blog post is to help folks understand why this is important and how it relates specifically to customer experience. We’ve been seeing many customers who have adopted composable architecture experience positive outcomes. I mentioned open APIs and microservices.
AWS Machine Learning
SEPTEMBER 9, 2022
Data for PIT features need to be updated quickly, and the latest version should be written and read with low latency (under 20 milliseconds per user for 1,000 shows). The data also needs to be in a durable storage because missing or partial data may cause deteriorated recommendations and poor customer experience.
AWS Machine Learning
SEPTEMBER 9, 2022
It’s designed to provide a seamless customer experience to listeners and creators by debuting interactive live audio shows from your favorite artists, radio DJs, podcasters, and friends. However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process.
AWS Machine Learning
NOVEMBER 29, 2023
Amazon SageMaker notebook jobs allow data scientists to run their notebooks on demand or on a schedule with a few clicks in SageMaker Studio. With this launch, you can programmatically run notebooks as jobs using APIs provided by Amazon SageMaker Pipelines , the ML workflow orchestration feature of Amazon SageMaker.
AWS Machine Learning
JULY 25, 2022
Advances in AI and machine learning (ML) can be employed to improve the customer experience, increase the efficiency and accuracy of operational workflows, and enhance performance by supporting multiple aspects of the trading process. For production, we wanted to invoke the model as a simple API call.
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