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.

Best practices 75

Best practices Metrics APIs Accountability 75

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

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

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.

Best practices 120

Best practices Engineering SaaS APIs 120

Hodusoft

NOVEMBER 6, 2024

Achieving Excellence: Best Practices for Contact Center Performance and Quality Assurance Whether you are an entrepreneur or a professional in the contact center industry or any other sector, you know that implementing best practices can enhance performance by leaps and bounds and drive success. They create them.”

Best practices 52

Best practices Contact Center Contact center software Abandon rate 52

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 75

Best practices Metrics Accountability Engineering 75

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 115

Government Best practices Benchmark Metrics 115

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

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 105

Government APIs Enterprise Best practices 105

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 80

Metrics Engineering Accountability Telecommunications 80

AWS Machine Learning

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Security – The solution uses AWS services and adheres to AWS Cloud Security best practices so your data remains within your AWS account.

Best practices 93

Best practices Feedback Metrics APIs 93

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!

Best practices 52

Best practices Call Center Omni-channel support Management 52

CSM Magazine

MAY 19, 2023

Customer Experience Engineering (CXE) is a growing field that focuses on designing, managing, and improving the interactions between a company and its customers. At its core, customer experience engineering seeks to ensure that every touchpoint a customer has with a company leaves a positive and lasting impression.

Engineering 52

Engineering Customer Experience Journey mapping CRM 52

CSM Practice

MAY 16, 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 52

Best practices SaaS Customer centricity Finance 52

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 70

Best practices Accountability Metrics Engineering 70

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 117

Metrics Engineering Accountability Benchmark 117

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 120

Management Engineering Best practices Metrics 120

AWS Machine Learning

NOVEMBER 15, 2024

For automatic model evaluation jobs, you can either use built-in datasets across three predefined metrics (accuracy, robustness, toxicity) or bring your own datasets. Regular evaluations allow you to adjust and steer the AI’s behavior based on feedback and performance metrics.

APIs 95

APIs Government Best practices Metrics 95

AWS Machine Learning

FEBRUARY 29, 2024

This enables data scientists to quickly build and iterate on ML models, and empowers ML engineers to run through continuous integration and continuous delivery (CI/CD) ML pipelines faster, decreasing time to production for models. Solution overview The proposed framework code starts by reading the configuration files. The model_unit.py

Scripts 101

Scripts Engineering Metrics Best practices 101

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 113

Analytics Engineering Government Best practices 113

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.

Best practices 119

Best practices Benchmark Transportation Engineering 119

NobelBiz

FEBRUARY 21, 2023

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.

Best practices 52

Best practices Analytics Contact Center Coaching 52

AWS Machine Learning

SEPTEMBER 27, 2023

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon Warehouses across Europe and the MENA region. These requests range from simple retrieval of baseline design values, to review of value engineering proposals, to analysis of reports and compliance checks.

Construction 98

Construction Engineering Best practices Consulting 98

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 89

Customer Experience Engineering Enterprise Benchmark 89

Totango

JULY 17, 2024

As Senior VP of Global Customer Success at Totango+Catalyst, I recently joined two of my colleagues, Charlie Sonnenberg , VP of Sales, and Mollie Gardner , VP of Global Revenue Strategy, for a discussion where we shared practical tips and insights into the new approaches we’ve taken to help our own GTM teams work better together and succeed.

Sales 97

Sales Metrics Accountability Benchmark 97

Callminer

NOVEMBER 6, 2019

As metrics pile up, you may find yourself wondering which data points matter and in what ways they relate to your business’s interests. Visualizations turn raw metrics into stories that can be shared and acted upon. “More than just trends over time, your metric values are probably made up of different components or parts.

Big data 140

Big data Analytics Metrics Sales 140

Totango

OCTOBER 25, 2023

Our primary goal is driving ARR, so clearly understanding the metrics across the journey, like onboarding, that directly impacts that goal is crucial. Our Global Governance team now supports the network of CSMs working in regions with a shared set of principles and best practices.

Customer Experience 110

Customer Experience Best practices Finance Enterprise 110

Totango

APRIL 11, 2019

An illuminated “check engine” light is scary because it doesn’t offer any solution. For many, “check engine” may as well just say “car broken”—and that’s terrifying. These categories are also represented numerically as a relative rating out of 100 based on a combination of established metric thresholds.

Metrics 88

Metrics Upselling Accountability Enterprise 88

Callminer

FEBRUARY 21, 2018

He is an Information technology enthusiast and petroleum engineer by discipline from Nigeria with a desire to make it work. Quality management software, including call recording and call monitoring tools, provide a way to manage, track and report quality metrics…”. Peter Abah. Peter Abah is the Head of Customer Support at Hotels.ng.

call center software 210

call center software Call Center Contact Center Interactive Voice Response 210

AWS Machine Learning

MAY 7, 2024

Rather than requiring extensive feature engineering and dataset labeling, LLMs can be fine-tuned on small amounts of domain-specific data to quickly adapt to new use cases. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Engineering 105

Engineering Technical Support Chatbots Best practices 105

AWS Machine Learning

MAY 8, 2023

To serve models, Triton supports various backends as engines to support the running and serving of various ML models for inference. With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Import the ONNX model into TensorRT and generate the TensorRT engine.

Engineering 85

Engineering APIs Best practices Scripts 85

AWS Machine Learning

JUNE 27, 2023

This post explains how Provectus and Earth.com were able to enhance the AI-powered image recognition capabilities of EarthSnap, reduce engineering heavy lifting, and minimize administrative costs by implementing end-to-end ML pipelines, delivered as part of a managed MLOps platform and managed AI services.

Engineering 102

Engineering APIs Scripts Entertainment 102

AWS Machine Learning

JANUARY 10, 2024

Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The post-inference notification Lambda function collects batch inference metrics and sends an email to the approver to promote the model to the next environment. This post is co-written with Jayadeep Pabbisetty, Sr.

APIs 108

APIs Construction Engineering Analytics 108

ChurnZero

OCTOBER 28, 2022

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.

Best practices 52

Best practices Chief Customer Officer Sales Upselling 52

AWS Machine Learning

JUNE 25, 2024

By deploying the Neuron Monitor DaemonSet across EKS nodes, developers can collect and analyze performance metrics from ML workload pods. In one flow, metrics gathered by Neuron Monitor are integrated with Prometheus, which is configured using a Helm chart for scalability and ease of management.

Metrics 78

Metrics Best practices Analytics Accountability 78

ChurnZero

JANUARY 3, 2023

Share best practices that lead to continuous improvement. It also underscores the importance of CS as a growth engine for your company. Customer Success is a revenue growth engine. When your department is a growth engine, that’s diametrically opposite to being a cost center. It transforms the conversation.

Sales 98

Sales Engineering Best practices Government 98

AWS Machine Learning

NOVEMBER 22, 2023

The AWS Well-Architected Framework provides a systematic way for organizations to learn operational and architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable workloads in the cloud. The metrics should include business metrics and technical metrics.

APIs 101

APIs Metrics Benchmark Enterprise 101