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 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

DECEMBER 2, 2024

Validation engine – Removes PII from the response and checks whether the generated answer aligns with the retrieved context. Evaluate RAG performance The accuracy of the chat assistant is the most critical performance metric to Amazon Finance Operations. If not, it returns a hardcoded “I don’t know” response to prevent hallucinations.

Finance 85

Finance Engineering Big data Metrics 85

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

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 96

Best practices Metrics Accountability Engineering 96

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.

Best practices 91

Best practices Analytics Engineering Feedback 91

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 129

Government APIs Enterprise Best practices 129

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

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 97

Metrics Engineering Accountability Telecommunications 97

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 113

APIs Government Best practices Metrics 113

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 93

Best practices Accountability Metrics Engineering 93

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 134

Government Best practices Benchmark Metrics 134

AWS Machine Learning

NOVEMBER 13, 2024

With the unification of SageMaker Model Cards and SageMaker Model Registry, architects, data scientists, ML engineers, or platform engineers (depending on the organization’s hierarchy) can now seamlessly register ML model versions early in the development lifecycle, including essential business details and technical metadata.

Government 113

Government Engineering Metrics APIs 113

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

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 116

Best practices Feedback Metrics APIs 116

AWS Machine Learning

OCTOBER 16, 2024

To evaluate the transcription accuracy quality, the team compared the results against ground truth subtitles on a large test set, using the following metrics: Word error rate (WER) – This metric measures the percentage of words that are incorrectly transcribed compared to the ground truth. A lower MER signifies better accuracy.

Engineering 118

Engineering Metrics APIs Big data 118

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 138

Best practices Engineering SaaS Accountability 138

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 59

Customer Experience Engineering Enterprise Benchmark 59

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

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 135

Management Engineering Best practices Metrics 135

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 138

Metrics Engineering Accountability Benchmark 138

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 126

Scripts Engineering Metrics Best practices 126

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 103

Government Management APIs Accountability 103

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

AWS Machine Learning

NOVEMBER 27, 2024

Players can choose from the following list of opponents: Generative AI models available on Amazon Bedrock Custom fine-tuned models deployed to Amazon Bedrock Chess engines Human opponents Random moves An infrastructure as code (IaC) approach was taken when constructing this project. The demo offers a few gameplay options. license terms.

Engineering 126

Engineering Real estate APIs Construction 126

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 122

Construction Engineering Best practices Consulting 122

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 134

Analytics Engineering Government Best practices 134

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 97

Metrics Best practices Analytics Accountability 97

AWS Machine Learning

NOVEMBER 7, 2024

The following are important metrics that need to be forecasted: Demand – How many items will be sold in the next X weeks for different discounts? Logging and monitoring – Amazon CloudWatch handles logging and monitoring, forwarding the metrics to Zalando’s internal alerting tool for further analysis and notifications.

Engineering 115

Engineering Automotive Finance Government 115

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 139

Best practices Benchmark Transportation Engineering 139

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 102

Engineering APIs Best practices Scripts 102

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 103

APIs Enterprise Best practices Government 103

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

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 126

Engineering Chatbots Technical Support Best practices 126

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 131

APIs Construction Engineering Analytics 131

AWS Machine Learning

SEPTEMBER 11, 2024

Optimizing the artificial intelligence and machine learning (AI/ML) data preparation workload on AWS with sustainability best practices helps reduce the carbon footprint and the cost. This approach improves operational efficiency and retrains the model based on your business metrics.

Metrics 111

Metrics Best practices Enterprise Accountability 111

CSM Magazine

MAY 22, 2024

Search Engine Optimization (SEO) has become an essential aspect of digital marketing in recent years. It helps businesses to rank higher in search engine results pages (SERPs), which in turn increases their visibility and drives more traffic to their website.

Engineering 52

Engineering Best practices Marketing Metrics 52