Remove APIs Remove Metrics Remove Personalization Remove Wireless
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Build an air quality anomaly detector using Amazon Lookout for Metrics

AWS Machine Learning

This post shows you how to use an integrated solution with Amazon Lookout for Metrics and Amazon Kinesis Data Firehose to break these barriers by quickly and easily ingesting streaming data, and subsequently detecting anomalies in the key performance indicators of your interest. You don’t need ML experience to use Lookout for Metrics.

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5 Text Messaging Best Practices for Your SMS Strategy

aircall

With best practices for text messaging, your customer-facing teams will provide better service, while your sales and marketing teams can better interact with leads on a more personalized scale to more efficiently close deals. What’s acceptable for personal texting isn’t necessarily appropriate for business texting. .

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Demystifying machine learning at the edge through real use cases

AWS Machine Learning

If a person enters this area by mistake, a safety mechanism is activated to stop the machines and protect the human. Mobile applications, specific boards to accelerate ML models, or simple devices with capacity to run ML models, covered by wireless networks, are included in this group.

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Contact Center Technologies 2017: find out what 23 experts say

RichCall

personalization. And, as its mode of operation broadens and becomes more proactive, its success will have to be measured by new metrics, reflecting its critical role in overall business performance. AI has a long way to go still to make the chatbot experience feel personal, but it’s improving as all emerging technologies do.