Remove Analytics Remove APIs Remove Events Remove Metrics
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5 Capabilities of Business Intelligence for Social Media Monitoring and Analytics

CSM Magazine

In this article, we’ll explore five key capabilities of BI that empower businesses to monitor social media conversations, analyze sentiment, conduct competitor analysis, create customized dashboards and reports, and integrate social media data with other sources for comprehensive analytics.

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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

ML Engineer at Tiger Analytics. The solution uses AWS Lambda , Amazon API Gateway , Amazon EventBridge , and SageMaker to automate the workflow with human approval intervention in the middle. EventBridge monitors status change events to automatically take actions with simple rules.

APIs 92
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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. A user sends a question (NLQ) as a JSON event. If it finds any, it skips to Step 6.

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Facebook’s Conversion API – what marketers need to know

Infinity

Every ‘event’ that happens online can be gold dust for marketers. The greater the visibility you have of the data needed to track conversion events, optimise ads and re-target users, the stronger the position you are in as a marketer. Accurately tracking and improving campaign performance is at the top of every marketer’s wish list.

APIs 52
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How to Successfully Implement Customer Journey Analytics – Part 1

Pointillist

Companies are increasingly benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. Learning how to choose the best customer journey analytics platform is just the start. Steps to Implement Customer Journey Analytics. By Swati Sahai.

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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

A Lambda function called the Call Event Processor, fed by Kinesis Data Streams, processes and optionally enriches meeting metadata and transcription segments. The Call Event Processor integrates with the meeting assist services. The stacks take about 35–40 minutes to deploy.

APIs 102
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How Amp on Amazon used data to increase customer engagement, Part 1: Building a data analytics platform

AWS Machine Learning

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. Business intelligence (BI) and analytics.