CSM Practice

MAY 13, 2020

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. 3. Adjust Your Metrics and KPIs.

Best practices 128

Best practices SaaS Customer centricity Finance 128

AWS Machine Learning

SEPTEMBER 6, 2024

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility. Question Answer Fact Who is Andrew R.

Best practices 90

Best practices Metrics Sales Benchmark 90

AWS Machine Learning

DECEMBER 3, 2024

The challenge: Resolving application problems before they impact customers New Relic’s 2024 Observability Forecast highlights three key operational challenges: Tool and context switching – Engineers use multiple monitoring tools, support desks, and documentation systems. The following diagram illustrates the workflow.

Customer Experience 101

Customer Experience Engineering Enterprise Benchmark 101

Quality Contact Solutions

OCTOBER 4, 2022

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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Best practices Telemarketing outsourcing B2B 111

AWS Machine Learning

JANUARY 28, 2025

By documenting the specific model versions, fine-tuning parameters, and prompt engineering techniques employed, teams can better understand the factors contributing to their AI systems performance. Evaluation algorithm Computes evaluation metrics to model outputs. Different algorithms have different metrics to be specified.

Management 98

Management APIs Engineering Metrics 98

AWS Machine Learning

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Metrics 90

Metrics Best practices Engineering APIs 90

AWS Machine Learning

NOVEMBER 14, 2024

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. The DS uses SageMaker Training jobs to generate metrics captured by , selects a candidate model, and registers the model version inside the shared model group in their local model registry.

Government 91

Government Management APIs Accountability 91

AWS Machine Learning

MARCH 27, 2025

Based on our experiments using best-in-class supervised learning algorithms available in AutoGluon , we arrived at a 3,000 sample size for the training dataset for each category to attain an accuracy of 90%. Where discrete outcomes with labeled data exist, standard ML methods such as precision, recall, or other classic ML metrics can be used.

Education 103

Education Engineering APIs Enterprise 103

AWS Machine Learning

NOVEMBER 1, 2024

In this post, we explore the best practices and lessons learned for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock. We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics. Sonnet across various tasks.

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Best practices APIs Finance Metrics 92

Calabrio

FEBRUARY 27, 2025

Workforce Management 2025 Call Center Productivity Guide: Must-Have Metrics and Key Success Strategies Share Achieving maximum call center productivity is anything but simple. Revenue per Agent: This metric measures the revenue generated by each agent. For many leaders, it might often feel like a high-wire act.

Call Center 52

Call Center Metrics Gamification Contact Center 52

AWS Machine Learning

JULY 7, 2022

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 Metrics APIs Accountability 89

AWS Machine Learning

MARCH 25, 2025

The ability to quickly retrieve and analyze session data empowers developers to optimize their applications based on actual usage patterns and performance metrics. Example use case To demonstrate the power and simplicity of Session Management APIs, lets walk through a practical example of building a shoe shopping assistant.

APIs 107

APIs Management Government Healthcare 107

Callminer

AUGUST 1, 2017

Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Jeff Greenfield is the co-founder and chief operating officer of C3 Metrics.

Contact Center 334

Contact Center Call Center Average Handle Time Real estate 334

delighted

SEPTEMBER 28, 2021

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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Best practices Analytics Engineering Feedback 91

Outsource Consultants

FEBRUARY 18, 2025

Proactive quality control is the engine that powers this positive cycle. Regular Meetings: Conduct regular business reviews to track progress on action plans, discuss performance metrics, and address any roadblocks that may arise. Tie rewards to specific, measurable quality metrics.

Feedback 67

Feedback Customer centricity Best practices Engineering 67

AWS Machine Learning

MARCH 21, 2023

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.

Best practices 89

Best practices Metrics Accountability Engineering 89

Callminer

FEBRUARY 4, 2021

Now more than ever, organizations need to actively manage the Average-Speed-of-Answer (ASA) metric. Older citizens, the unhealthy, and those in low-income areas have always been targets for social engineering. Despite the pandemic, customers have retained the expectation that if they call you, you’ll be there for them.

Call Center 345

Call Center Contact Center Finance Consulting 345

AWS Machine Learning

SEPTEMBER 21, 2023

In particular, we provide practical best practices for different customization scenarios, including training models from scratch, fine-tuning with additional data using full or parameter-efficient techniques, Retrieval Augmented Generation (RAG), and prompt engineering.

Best practices 122

Best practices Engineering Metrics APIs 122

AWS Machine Learning

MAY 9, 2024

They establish and enforce best practices encompassing design, development, processes, and governance operations, thereby mitigating risks and making sure robust business, technical, and governance frameworks are consistently upheld. Platform – A central platform such as Amazon SageMaker for creation, training, and deployment.

Government 127

Government Best practices Benchmark Metrics 127

AWS Machine Learning

NOVEMBER 19, 2024

Leave the session inspired to bring Amazon Q Apps to supercharge your teams’ productivity engines. In this session, learn best practices for effectively adopting generative AI in your organization. This session provides practical steps to streamline your model selection process, providing high-quality, reliable AI deployments.

APIs 90

APIs Enterprise Best practices Government 90

AWS Machine Learning

OCTOBER 2, 2024

Because this is an emerging area, best practices, practical guidance, and design patterns are difficult to find in an easily consumable basis. This integration makes sure enterprises can take advantage of the full power of generative AI while adhering to best practices in operational excellence.

Government 117

Government APIs Enterprise Best practices 117

AWS Machine Learning

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. The F1 score provides a balanced evaluation of the model’s performance.

Metrics 93

Metrics Engineering Accountability Telecommunications 93

AWS Machine Learning

FEBRUARY 1, 2024

There are unique considerations when engineering generative AI workloads through a resilience lens. If you’re performing prompt engineering, you should persist your prompts to a reliable data store. Make sure to use best practices for rate limiting, backoff and retry, and load shedding.

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Best practices Engineering SaaS Accountability 132

AWS Machine Learning

NOVEMBER 7, 2024

Prompt engineering is typically an iterative process, and teams experiment with different techniques and prompt structures until they reach their target outcomes. Model monitoring – The model monitoring service allows tenants to evaluate model performance against predefined metrics. They’re illustrated in the following figure.

Enterprise 108

Enterprise APIs Government Accountability 108

AWS Machine Learning

FEBRUARY 21, 2023

A/B testing is used in scenarios where closed loop feedback can directly tie model outputs to downstream business metrics. This feedback is then used to determine the statistical significance of changing from one model to another, helping you select the best model through live production testing.

Best practices 84

Best practices Accountability Metrics Engineering 84

Beyond Philosophy

AUGUST 26, 2021

Moreover, there is a potential danger of best practices of an inherent convergence. If we all use the same best practices, then we are converging on what everyone else does. When we worked with the water utility years ago, we learned that an expensive part of their costs was the field engineer labor.

Finance 195

Finance Engineering Best practices Call Center 195

AWS Machine Learning

MARCH 18, 2025

Additionally, the complexity increases due to the presence of synonyms for columns and internal metrics available. You can add additional information such as which SQL engine should be used to generate the SQL queries. The produced query should be functional, efficient, and adhere to best practices in SQL query optimization.

Enterprise 94

Enterprise Chatbots Engineering Metrics 94

AWS Machine Learning

FEBRUARY 21, 2025

Data engineering development is done using AWS Glue Studio. Code artifacts for both data science activities and data engineering activities are stored in Git. Deployment times stretched for months and required a team of three system engineers and four ML engineers to keep everything running smoothly.

Engineering 69

Engineering Finance Accountability Analytics 69

Balto

JANUARY 3, 2025

When implemented strategically, call monitoring becomes a growth engine that drives customer satisfaction, boosts agent performance, and aligns customer experience with broader business goals. From key metrics to advanced AI tools, youll discover actionable strategies to elevate both customer and agent outcomes.

Best practices 52

Best practices Call Center First call resolution Coaching 52

AWS Machine Learning

JUNE 20, 2024

Additionally, evaluation can identify potential biases, hallucinations, inconsistencies, or factual errors that may arise from the integration of external sources or from sub-optimal prompt engineering. This makes it difficult to apply standard evaluation metrics like BERTScore ( Zhang et al.

Metrics 130

Metrics Engineering Accountability Benchmark 130

AWS Machine Learning

FEBRUARY 25, 2025

Amazon Q Business only provides metric information that you can use to monitor your data source sync jobs. As a security best practice, storing the client application data in Secrets Manager is recommended. You must create and run the crawler that determines the documents your data source indexes.

Enterprise 86

Enterprise Engineering APIs Accountability 86

Cincom

FEBRUARY 21, 2025

This means longer turnaround times as they repeatedly check with engineering, finance, or management for approvals. 5- Enhanced Upselling and Cross-Selling Strategies Many CPQ platforms include recommendation engines that suggest upgrades, bundles, and complementary products.

Sales 40

Sales Gamification Finance Best practices 40

AWS Machine Learning

SEPTEMBER 5, 2024

As generative artificial intelligence (AI) continues to revolutionize every industry, the importance of effective prompt optimization through prompt engineering techniques has become key to efficiently balancing the quality of outputs, response time, and costs. in a single paragraph of approximately 100-150 words'), the desired tone (e.g., 'in

Management 130

Management Engineering Best practices Metrics 130

AWS Machine Learning

NOVEMBER 15, 2024

Recall@5 is a specific metric used in information retrieval evaluation, including in the BEIR benchmark. Breanne holds a Bachelor of Science in Computer Engineering from University of Illinois at Urbana Champaign. This example uses ml.g5.xlarge, xlarge, but you might need to adjust this based on your specific needs.

Benchmark 103

Benchmark Enterprise Construction Engineering 103

AWS Machine Learning

DECEMBER 19, 2023

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.

Analytics 126

Analytics Engineering Government Best practices 126

AWS Machine Learning

APRIL 22, 2024

It provides examples of use cases and best practices for using generative AI’s potential to accelerate sustainability and ESG initiatives, as well as insights into the main operational challenges of generative AI for sustainability. Throughout this lifecycle, implementing AWS Well-Architected Framework best practices is recommended.

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Best practices Benchmark Transportation Engineering 132

Hodusoft

JUNE 7, 2024

Call Center Management: Challenges, Strategies, Tips, and Best Practices In today’s time, setting up a call or contact center is extremely easy. In such time, the words of noted American business executive, chemical engineer, and writer Jack Welch ring true even after so many years. Let’s get started!

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Best practices Call Center Omni-channel support Management 52