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5 Capabilities of Business Intelligence for Social Media Monitoring and Analytics

CSM Magazine

With the vast amount of data generated on social media platforms every second, harnessing this information effectively can be challenging. Through the use of advanced data collection techniques and APIs, BI platforms continuously gather data from various social media channels such as Twitter, Facebook, Instagram, LinkedIn, and more.

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

AWS Machine Learning

However, as a new product in a new space for Amazon, Amp needed more relevant data to inform their decision-making process. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.

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Detect anomalies in manufacturing data using Amazon SageMaker Canvas

AWS Machine Learning

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This dilemma hampers the creation of efficient models that use data to generate business-relevant insights.

Metrics 93
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Build an Amazon SageMaker Model Registry approval and promotion workflow with human intervention

AWS Machine Learning

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. An ML model registered by a data scientist needs an approver to review and approve before it is used for an inference pipeline and in the next environment level (test, UAT, or production).

APIs 100
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Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Part 2: Data enrichment and insights.

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Facebook’s Conversion API – what marketers need to know

Infinity

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. After all, for marketers, gathering as much data as possible from as many touchpoints as possible is the name of the game. Getting data on the customer journey.

APIs 52