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25 Indicators of Fraud on Inbound Calls

Callminer

Speech analytics software , for example, enables call centers to review past fraudulent calls, customize a fraudulent scorecard, and leverage real-time analytics to provide guidance to agents while on the call if a call is flagged as potential fraud. Caller has difficulty answering KBA questions.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Today, a large amount of data is available in traditional data analytics, data warehousing, and databases, which may be not easy to query or understand for the majority of organization members.

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Best Practices for Growing Your Customer Support Team

TeamSupport

Consider some of these new roles in customer support team leadership: Content Creation Content Author: write new knowledge base content Curriculum Designer: create training curriculum and materials for self-paced and instructor led training Editor: ensure that the content is consistent in style, grammar, accuracy, and formatting UX Design Knowledge (..)

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A CEO’s guide to product-led growth: 5 best practices for growing your business

delighted

Or, will my business’s growth come from building a product that is in its very nature designed to grow and attract customers (thus, reducing the need for sales teams and costly go-to-market engines)? Here are some of the lessons I’ve learned as a CEO and my advice on 5 product-led growth best practices that you can use in your own business.

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20 Business Leaders Share How Call Centers Can Address Increased Customer Vulnerability

Callminer

Firstly, contact centers can make use of call analytics software to analyze past call recordings and use them to train agents how to identify vulnerable customers. Older citizens, the unhealthy, and those in low-income areas have always been targets for social engineering. You can also inform them of their increased vulnerability.

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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

However, putting an ML model into production at scale is challenging and requires a set of best practices. Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge.

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. Fine-tuning Anthropic’s Claude 3 Haiku has demonstrated superior performance compared to few-shot prompt engineering on base Anthropic’s Claude 3 Haiku, Anthropic’s Claude 3 Sonnet, and Anthropic’s Claude 3.5