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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).

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Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

In part 1, we described the data capture and document classification stages, where we categorized and tagged documents such as bank statements, invoices, and receipt documents. We run the get_entities() method on the bank document and obtain the entity list in the results. Then we train a custom entity recognition model.

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Digital Transformation in Retail Banks: Potential Impact on Brand Equity, Customers, and Employees

Beyond Philosophy

I’m capitalizing the first letter of each word because the pervasiveness of digital transformation has all the feel of Big Data a few years ago and Reeingineering in the 1990’s. It is having most impact, and will likely continue to do so, in traditional industries such as retail banking.

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A 5-Step Introduction to Journey Analytics

Clarabridge

Journey analytics combines big data technology, advanced analytics, and functional expertise to help companies perfect their customer journeys. To map them, it leverages millions of data points across customers, channels, and touchpoints ” – McKinsey. 4- Take action.

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The IoT Chronicles Part 1: Demystification and Strategy

Avaya

Picture bank tellers that can identify customers (or criminals) as soon as they walk through the door via facial recognition. Meanwhile, a financial institution is concerned with how to guarantee account protection and secure financial transactions while providing a personalized experience for customers.

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Can Artificial Intelligence Drive Customer Loyalty?

CSM Magazine

Innovative companies have dropped traditional ways of getting more customers like price wars and incremental improvement of products in favor of investing in big data powered AI systems that can offer a personal touch, create tailor-made experiences and are safe from identity theft and cyber crime. Personal with an AI twist.

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MLOps foundation roadmap for enterprises with Amazon SageMaker

AWS Machine Learning

As enterprise businesses embrace machine learning (ML) across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. Building an MLOps foundation that can cover the operations, people, and technology needs of enterprise customers is challenging.