Remove tag data-protection
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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Some customers entrust Amazon Transcribe with data that is confidential and proprietary to their business. In other cases, audio content processed by Amazon Transcribe may contain sensitive data that needs to be protected to comply with local laws and regulations. We recommend using TLS 1.2

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Guest Post: How to Ensure PCI Compliance in Your Call Center?

ShepHyken

He shares how call centers can safeguard critical customer data, giving customers peace of mind while reducing risk to your organization.?. As a call center operator, it’s essential for you to protect sensitive cardholder data. Specifically, need to safeguard customer credit card payment data.? .

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Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

Starting from the introduction of the Security Pillar and design principles, we then examine the solution design and implementation with four focus areas: access control, data protection, key and secret management, and workload configuration. Pay attention to protection of data at rest and data produced in IDP outputs.

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The Definition of Predictive Analytics in 2019

CloudCherry

Fortunately, while predicting the future in its entirety is close to impossible, predictive analytics can help businesses like you make smarter, data-driven decisions about where they’re going without any magic powers. Leaders in CX rely heavily on data to understand how customers are feeling at each step of the journey.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock automates synchronization of your data with your vector store, including diffing the data when it’s updated, document loading, and chunking, as well as semantic embedding. RAG is a popular technique that combines the use of private data with large language models (LLMs). Choose Next.

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Your digital eyes & ears: Master social media monitoring

BirdEye

Through effective social media monitoring, businesses can quickly identify potential crises at their onset in any location, allowing for timely and appropriate responses that mitigate risk and protect the brand’s reputation on a global scale. How can we integrate data from multiple platforms for a cohesive analysis?

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The importance of security and GDPR to the digital customer experience

Eptica

Author: Pascal Gauvrit Thanks to the rise of digital channels, brands now possess large amounts of personal data on their customers. However, protecting this sensitive information is obviously vital if brands are to build consumer trust, meet regulatory requirements, protect their brand and retain customers.