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Struggling With How to Generate Leads? Use These Best Practices

Quality Contact Solutions

That’s why we’ve compiled four best practices to help you meet your sales goals and keep your team busy. Our next lead generation best practice is customer service. Our next best practice in how to generate leads is to focus on your website. Case Study: B2B Lead Generation & Cold Calling.

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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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Best practices for viewing and querying Amazon SageMaker service quota usage

AWS Machine Learning

In addition, they can view near real-time utilization metrics and create Amazon CloudWatch metrics to view and programmatically query SageMaker quotas. This architecture includes the following workflow: A CloudWatch metric monitors the usage of the resource. Choose Select metric. Select the metric you want to monitor.

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How to Report and Analyze Like a Pro: 10 Best Practices for Reporting and Analytics in a Contact Center

NobelBiz

On one hand, reporting refers to data collection on various metrics, such as customer satisfaction, call volume, agent performance, and other relevant KPIs. By tracking the relevant metrics, contact center managers ensure they are on the right path to reaching their objectives.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Which Customer Success best practices should you keep or let go in 2023?

ChurnZero

Sales, marketing, product, engineering. We have to think more strategically as an industry so that we can help our businesses scale and maintain those financial metrics like gross margin and EBITDA, that really matter when investors are looking at our companies. You have to look at it on a count basis, not a dollar basis.

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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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