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Be Warned: You Can’t Rely On Big Data!

Beyond Philosophy

And linking data points throughout a journey is a step in the right direction. But I have a big problem with Big Data. Because while Big Data can increasingly show you what your customers do, it cannot show you why they do it. Big Data can’t see the distinction because it doesn’t measure emotions.

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Shocking! Yahoo’s data breach

Beyond Philosophy

If you aren’t sure this is true, then ask yourself: would I open a Yahoo email account today? It’s because 500 million of Yahoo’s account users’ names, email addresses, telephone numbers, birth dates, scrambled passwords, and security questions are in the wind. Yahoo’s new email account set up is also quiet today.

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Performance Management Bridges the Divide Between Big Data and Big Knowledge

Aspect

Every organization has strategic business objectives for which C-level executives are accountable. The post Performance Management Bridges the Divide Between Big Data and Big Knowledge appeared first on Aspect Blogs.

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Guest Post: Find Ways for Artificial Intelligence to Benefit Customers

ShepHyken

And why doesn’t the email system know if a Notice of Cancellation is in effect for my account? The communications people who wrote this email need to get with the data scientists and customer representatives to create better targeting. I mean, c’mon—insurance is practically the original “big data” business.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

AWS Machine Learning

Challenges in data management Traditionally, managing and governing data across multiple systems involved tedious manual processes, custom scripts, and disconnected tools. The diagram shows several accounts and personas as part of the overall infrastructure. The following diagram gives a high-level illustration of the use case.

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Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points

AWS Machine Learning

Data scientists across business units working on model development using Amazon SageMaker are granted access to relevant data, which can lead to the requirement of managing prefix -level access controls. Amazon S3 Access Points simplify managing and securing data access at scale for applications using shared datasets on Amazon S3.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).