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

AUGUST 18, 2022

One of the challenges encountered by teams using Amazon Lookout for Metrics is quickly and efficiently connecting it to data visualization. The anomalies are presented individually on the Lookout for Metrics console, each with their own graph, making it difficult to view the set as a whole. Overview of solution.

Metrics 88

Metrics Scripts Accountability Best practices 88

CSM Practice

JUNE 6, 2020

The renewal rate metric also provides a quick overview of customer success team performance before in-depth analysis. Each metric compares the amount of the variable that was renewed against the maximum amount that could have been renewed. A low renewal rate creates a leaky revenue bucket that prevents significant revenue growth.

Metrics 89

Metrics SaaS Accountability Upselling 89

Fonolo

AUGUST 22, 2019

What metrics should you measure, though? While the phone channel is often argued to be in decline as a result of improved self-service options, a survey from Northridge found that the phone remains the channel of choice for payment-related concerns, resolving issues, and account changes. Response Time. Self-Service Success Rate.

Metrics 87

Metrics Contact Center Self service Call Center 87

AWS Machine Learning

OCTOBER 29, 2024

A multi-account strategy is essential not only for improving governance but also for enhancing security and control over the resources that support your organization’s business. In this post, we dive into setting up observability in a multi-account environment with Amazon SageMaker.

Government 113

Government Metrics Accountability APIs 113

AWS Machine Learning

AUGUST 10, 2023

As recommended by AWS as a best practice , customers have used separate accounts to simplify policy management for users and isolate resources by workloads and account. SageMaker services, such as Processing, Training, and Hosting, collect metrics and logs from the running instances and push them to users’ Amazon CloudWatch accounts.

Scripts 96

Scripts Accountability Metrics APIs 96

AWS Machine Learning

JULY 25, 2024

The node recovery agent is a separate component that periodically checks the Prometheus metrics exposed by the node problem detector. Additionally, the node recovery agent will publish Amazon CloudWatch metrics for users to monitor and alert on these events. install.sh compute.internal Ready 31d v1.29.0-eks-5e0fdde

Construction 123

Construction Metrics Scripts Engineering 123

AWS Machine Learning

APRIL 18, 2024

It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.

APIs 138

APIs Accountability Analytics Entertainment 138

Totango

JUNE 30, 2020

Make sure the metrics behind health scores and early warning systems are updated to account for the new environment. Customer segmentation leverages your customer success resources by giving each team member an all-encompassing view across many accounts. Invite customers to upcoming free training webinar series.

Best practices 127

Best practices Customer retention Metrics Enterprise 127

AWS Machine Learning

FEBRUARY 6, 2024

Pharmaceutical companies sell a variety of different, often novel, drugs on the market, where sometimes unintended but serious adverse events can occur. These events can be reported anywhere, from hospitals or at home, and must be responsibly and efficiently monitored. The training job is built using the SageMaker PyTorch estimator.

Healthcare 129

Healthcare Engineering Consulting Consulting 129

AWS Machine Learning

AUGUST 26, 2024

Our field organization includes customer-facing teams (account managers, solutions architects, specialists) and internal support functions (sales operations). Personalized content will be generated at every step, and collaboration within account teams will be seamless with a complete, up-to-date view of the customer.

Sales 133

Sales Accountability Feedback Metrics 133

AWS Machine Learning

JUNE 20, 2024

This makes it difficult to apply standard evaluation metrics like BERTScore ( Zhang et al. Addressing these evaluation and observability challenges is an active area of research, because robust metrics are critical for iterating on and deploying reliable RAG systems for real-world applications.

Metrics 138

Metrics Engineering Accountability Benchmark 138

CCNG

MAY 30, 2024

Even if you’re working in a start-up company without much historical data to use, your WFM platform still must have the ability to consume assumed metrics (like handle time and volume) to use as a basis to create a forecast. However, it’s helpful to capture those events and store them for future use. and not a WFM platform.

Abandon rate 195

Abandon rate CCNG Average Handle Time Contact Center 195

AWS Machine Learning

OCTOBER 2, 2024

Provide control through transparency of models, guardrails, and costs using metrics, logs, and traces The control pillar of the generative AI framework focuses on observability, cost management, and governance, making sure enterprises can deploy and operate their generative AI solutions securely and efficiently.

Government 131

Government APIs Enterprise Best practices 131

AWS Machine Learning

JANUARY 5, 2024

Whenever drift is detected, an event is launched to notify the respective teams to take action or initiate model retraining. Event-driven architecture – The pipelines for model training, model deployment, and model monitoring are well integrated by use Amazon EventBridge , a serverless event bus.

Management 137

Management APIs Engineering Government 137

AWS Machine Learning

JULY 23, 2024

One risk many organizations face is the inadvertent exposure of sensitive data through logs, voice chat transcripts, and metrics. For example, you may have the following data types: Name Address Phone number Email address Account number Email address and physical mailing address are often considered a medium classification level.

Accountability 125

Accountability Government Chatbots Best practices 125

ChurnZero

MAY 25, 2023

Even if CS doesn’t “own” renewals or expansions in your organization, having a command of the numbers is still important: just because you aren’t held directly responsible for collecting a signed contract does not mean you are not held indirectly accountable for customer retention. Below are recommended metrics to consider.

Upselling 97

Upselling Metrics Surveys Accountability 97

AWS Machine Learning

JULY 29, 2022

Customer satisfaction is a potent metric that directly influences the profitability of an organization. Reviewing the Account Balance chatbot. As an example, this demo deploys a bot to perform three automated tasks, or intents : Check Balance , Transfer Funds , and Open Account. Account Type. Deploying the solution.

Contact Center 130

Contact Center Interactive Voice Response Self service Accountability 130

GetFeedback

MAY 9, 2019

Two customers can view the same experience in completely different ways due to many factors that influence their interpretation of events — their upbringing, cultural background, motivations, and much more. First, you need to create a CX metrics program. that make the most impact on your main CX metric. .

Customer Experience 134

Customer Experience Metrics Journey mapping Customer centricity 134

Totango

FEBRUARY 11, 2020

Several key adoption metrics will let you know if your customer is heading in the right direction to achieve maximum value from your product. That said, there is no one formula for measuring adoption, and different teams should track different metrics. Beware of vanity metrics like login rates, which don’t give insight into adoption.

Enterprise 120

Enterprise Metrics Education Best practices 120

AWS Machine Learning

OCTOBER 10, 2022

From the combined industry experience, the solution team believes that many of the modus operandi in a mobile environment is driven by fraudsters having tools and methods to create fake accounts at scale and bypass a platform’s security checks on the device, thereby enabling them to exploit the platform for large returns.

APIs 96

APIs Accountability Metrics Government 96

ChurnZero

JUNE 15, 2023

It’s also unreasonable to ask a CSM to review a customer’s entire account every single time they have an upcoming interaction to figure out what’s changed since the last time they talked. Tactically speaking, the most common mistake I see is organizations lacking the appropriate unique identifiers on usage events.

Accountability 96

Accountability Upselling Analytics Metrics 96

AWS Machine Learning

DECEMBER 20, 2023

Amazon Security Lake is a purpose-built service that automatically centralizes an organization’s security data from cloud and on-premises sources into a purpose-built data lake stored in your AWS account. Store new security logs in an S3 bucket and queue events in Amazon Simple Queue Service (Amazon SQS).

Engineering 136

Engineering Accountability Analytics Construction 136

Totango

DECEMBER 3, 2021

Totango offers two ways to calculate and track customer health: Account Health and Multidimensional Health. Account Health . Account Health focuses on a customer’s health score, which takes multiple dimensions of customer data metrics and classifies them into a single representation of green, yellow, or red.

Metrics 96

Metrics Accountability Upselling Enterprise 96

Totango

FEBRUARY 28, 2020

At the same time, an effective engagement strategy incorporates much more than 1:1 touchpoints, and considers engagements such as 1:many opportunities, including communities, events, advocacy, and learning. Analyzing customer success metrics. Analyzing Customer Success Metrics. What is a Customer Engagement Strategy?

Customer centricity 93

Customer centricity Metrics Upselling Enterprise 93

AWS Machine Learning

SEPTEMBER 28, 2023

Accurate forecasting in these regions is important in determining how likely an extreme event is and whether to raise an alarm. In energy, weather, and healthcare sectors, accurate forecasts of infrequent but high-impact events such as natural disasters and pandemics enable effective planning and resource allocation.

Engineering 126

Engineering Metrics Construction Government 126

AWS Machine Learning

JUNE 20, 2024

Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. Giving more power to the user comes on account of simple user experience (UX).

Construction 121

Construction APIs Metrics Engineering 121

ChurnZero

OCTOBER 19, 2021

A relic from the days of old-school account management, the quarterly business review (QBR) is a classic — although not timeless — practice. Read on for our tips on updating the quarterly business review in a way that emphasizes an ongoing, events-based mindset and puts customer performance first. Question the “Q” in QBR.

Accountability 98

Accountability Metrics Management Customer Support 98

ChurnZero

DECEMBER 27, 2022

6/ How to transform Customer Success into a profit center with metrics and forecasting. Learn how to emphasize the financial value of your CS team by choosing the right metrics. Learn how one CS leader blazed an unconventional trail to CEO, the five most controversial topics in CS (Is NPS a CS metric? Not so much.

Benchmark 90

Benchmark Metrics Accountability Enterprise 90

AWS Machine Learning

NOVEMBER 1, 2022

Finally, we use another Lambda function to register the ML model and the performance metrics to the SageMaker model registry. For this walkthrough, complete the following prerequisite steps: Set up an AWS account. AutoMLJobObjective – F1macro is our objective metric for our use case. Prerequisites. Create a Studio environment.

Scripts 102

Scripts APIs Metrics Engineering 102

AWS Machine Learning

APRIL 17, 2023

Another option is to use an unsupervised anomaly detection model to monitor and surface unusual behavior among customer events. The challenge with this approach is that not all fraud events are anomalies, and not all anomalies are indeed fraud. Therefore, you can expect higher false positive rates.

APIs 98

APIs Government Metrics Engineering 98

Anexa BPO

NOVEMBER 10, 2023

One of the biggest challenges for public companies is deciding if their shareholders will respond to customer experience (CX) metrics in earning calls. It can be a hard sell to convince executives and shareholders that CX metrics are tangible and impact earning potential. Support your findings with facts.

Metrics 52

Metrics Business Process Outsourcing Benchmark Customer centricity 52

AWS Machine Learning

SEPTEMBER 27, 2023

By using Amazon CloudWatch in the solution, MDaudit monitors metrics, events, and logs throughout the end-to-end solution. Our close cooperation with AWS and our extended account team not only expedited the development process but also spared us four months of dedicated engineering efforts.

Healthcare 130

Healthcare Engineering SaaS Analytics 130

AWS Machine Learning

JUNE 29, 2022

We walk through the metrics provided by Amazon Fraud Detector, help you diagnose potential issues, and provide suggestions to improve model performance. It first introduces all the model metrics shown on the Amazon Fraud Detector console, including AUC, score distribution, confusion matrix, ROC curve, and model variable importance.

Metrics 100

Metrics Engineering Accountability Management 100

AWS Machine Learning

SEPTEMBER 7, 2023

This process requires breaking down data into three categories: 1) measurements available from the physical system, 2) the set of actions that can be taken upon the system, and 3) a numerical metric (reward) of equipment performance. Select the best training run based on training metrics. Train the algorithm on that data.

Metrics 130

Metrics Engineering Scripts Accountability 130

GetFeedback

MAY 23, 2019

While there are many different metrics within a VoC program, two very prominent ones are Customer Satisfaction Score (CSAT) and Net Promoter Score (NPS). While these metrics are not difficult to calculate, they’re not always intuitive to action. Conversely, you do not want NPS to be tied to a specific event.

Surveys 123

Surveys Metrics Accountability Wait times 123

AWS Machine Learning

MAY 3, 2023

The managed cluster, instances, and containers report metrics to Amazon CloudWatch , including usage of GPU, CPU, memory, GPU memory, disk metrics, and event logging. Worse yet, memory could become an issue, resulting in either poor performance or out of memory events causing the entire job to fail.

Engineering 103

Engineering Metrics APIs Big data 103