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25 Indicators of Fraud on Inbound Calls

Callminer

Further, malicious callers can manipulate customer service agents and automated systems to change account information, transfer money and more. Some fraudsters build a rapport with a particular agent or retail associate over time before requesting that they send a financial sum to their bank account.

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Migrating call accounting to the cloud? Here’s what to consider

Eptica

Date: Friday, October 15, 2021 Author: Trevor Davies, Head of Products, Enghouse Interactive Migrating call accounting to the cloud? In this new blog post Trevor Davis outlines the key considerations when choosing a cloud-based call accounting solution and how to pick the perfect partner. Here’s what to consider.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. Building large language models (LLMs) from scratch or customizing pre-trained models requires substantial compute resources, expert data scientists, and months of engineering work.

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6 Best Practices to Ensure Customer Success During COVID-19

CSM Practice

At CSM Practice, we are following the Covid-19 situation and its impact on customer success closely. And as we collectively work together to lower the curve, we would like to provide some guidance based on best practices to smoothen customer journeys during the Coronavirus pandemic. 1. Be Customer-Centric.

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Drive efficiencies with CI/CD best practices on Amazon Lex

AWS Machine Learning

You liked the overall experience and now want to deploy the bot in your production environment, but aren’t sure about best practices for Amazon Lex. In this post, we review the best practices for developing and deploying Amazon Lex bots, enabling you to streamline the end-to-end bot lifecycle and optimize your operations.

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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

To develop models for such use cases, data scientists need access to various datasets like credit decision engines, customer transactions, risk appetite, and stress testing. This post walks through the steps involved in configuring S3 Access Points to enable cross-account access from a SageMaker notebook instance.

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Build a cross-account MLOps workflow using the Amazon SageMaker model registry

AWS Machine Learning

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.