Favorite Organizations of all sizes and across all industries gather and analyze metrics or key performance indicators (KPIs) to help their businesses run effectively and efficiently. Operational metrics are used to evaluate performance, compare results, and track relevant data to improve business outcomes. For example, you can use operational metrics
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Shared by AWS Machine Learning August 7, 2021
Favorite The demand for audio and video media content is growing at an unprecedented rate. Organizations are using media to engage with their audiences like never before. Product documentation is increasingly published in video form, and podcasts are increasingly produced in place of blog posts. The recent explosion in the
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Shared by AWS Machine Learning August 7, 2021
Favorite Amazon Kendra is a fully managed, intelligent search service powered by machine learning. Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for. Using keyword or natural language queries, employees and customers can find the right
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Shared by AWS Machine Learning August 6, 2021
Favorite When you deploy intelligent search in your organization, two important factors to consider are access to the latest and most comprehensive information, and a contextual discovery mechanism. Many companies are still struggling to make their internal documents searchable in a way that allows employees to get relevant information knowledge
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Shared by AWS Machine Learning August 5, 2021
Favorite Customers expect personalized contact center experiences. They want easy access to customer support and quick resolution of their issues. Delighting callers with a quick and easy interaction remains central to the customer experience (CX) strategy for support organizations. Enterprises often deploy omni-channel contact centers so that they can provide
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Shared by AWS Machine Learning August 4, 2021
Favorite Launched at AWS re:Invent 2020, Amazon SageMaker Pipelines is the first purpose-built, easy-to-use continuous integration and continuous delivery (CI/CD) service for machine learning (ML). With Pipelines, you can create, automate, and manage end-to-end ML workflows at scale. You can extend your pipelines to include steps for tasks performed outside
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Shared by AWS Machine Learning August 4, 2021
Favorite In 2019, Amazon Polly launched neural text-to-speech (NTTS) voices in US English and UK English. Neural voices use machine learning and provide a richer, more lifelike speech quality. Since the initial launch of NTTS, Amazon Polly has extended its neural offering by adding new voices in US Spanish, Brazilian
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Shared by AWS Machine Learning August 4, 2021
Favorite This is a guest post by Mick McCluskey, the VP of Product Management at Enghouse EspialTV. Enghouse provides software solutions that power digital transformation for communications service operators. EspialTV is an Enghouse SaaS solution that transforms the delivery of TV services for these operators across Set Top Boxes (STBs),
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Shared by AWS Machine Learning August 4, 2021
Favorite Do you want to monitor your business metrics and detect anomalies in your existing streaming data pipelines? Amazon Lookout for Metrics is a service that uses machine learning (ML) to detect anomalies in your time series data. The service goes beyond simple anomaly detection. It allows developers to set
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Shared by AWS Machine Learning August 3, 2021
Favorite If you wish to introduce blogs as a knowledge management tool, it is tempting to ask senior managers to take the lead and set an example. Here’s why that may be the wrong thing to do (and some suggestions about what to do instead). Let’s assume 1) that you
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Shared by Nick Milton August 2, 2021
Shared by AWS Machine Learning August 7, 2021
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