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 87

Metrics Engineering Accountability Telecommunications 87

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 89

Accountability Best practices Scripts Engineering 89

ClearAction

OCTOBER 12, 2022

5 Best Experience Management Metrics Lynn Hunsaker. Why are experience management metrics the #1 challenge year after year? This means current experience management metrics are insufficient! Understand how experience management metrics build upon one another, to see where you should focus. So, what’s the solution?

Metrics 62

Metrics Management Sales Surveys 62

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 95

Government Engineering Metrics APIs 95

CSM Practice

FEBRUARY 8, 2023

One of the best ways to grow your business is to track several customer success metrics and use this SaaS valuation data to make effective decisions. If you’re wondering what kind of data to collect, these metrics will help you measure customer satisfaction levels and develop strong retention strategies. Start tracking metrics today!

SaaS 52

SaaS Metrics Advertising Upselling 52

Help Scout

MAY 27, 2021

When considering customer success and account management, it’s valuable to consider them as complementary teams rather than interchangeable groups or, worse, competitors. There are a few things that differentiate customer success from account management. What is customer success?

Accountability 66

Accountability Management Upselling Education 66

AWS Machine Learning

JUNE 13, 2022

We are excited to launch a causal contribution analysis capability in Amazon Lookout for Metrics that helps you to understand the potential root causes for the business-critical anomalies in the data. Lookout for Metrics reduces the time to implement AI/ML services for business-critical problems.

Metrics 87

Metrics Advertising Telecommunications Engineering 87

Totango

JULY 17, 2024

Three tricks we used to accomplish this include: Be RACI: Using a responsibility assignment matrix (aka a RACI—Responsible, Accountable, Consulted, Informed—matrix) has helped us to clearly define the roles and responsibilities between our CS and sales teams. At the same time, you can build out new opportunities to drive that value.

Sales 97

Sales Metrics Accountability Benchmark 97

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 118

Sales Accountability Feedback Metrics 118

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 125

Metrics Engineering Accountability Benchmark 125

AWS Machine Learning

OCTOBER 28, 2024

Examples include financial systems processing transaction data streams, recommendation engines processing user activity data, and computer vision models processing video frames. A preprocessor script is a capability of SageMaker Model Monitor to preprocess SageMaker endpoint data capture before creating metrics for model quality.

Scripts 99

Scripts Metrics Engineering Analytics 99

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 84

APIs Government Best practices Metrics 84

Mindtouch

JANUARY 23, 2020

To that end, we worked hard this past year to help our customer base run audits to identify the MindTouch ROI and value metrics they care most about—data points not inherently baked into our product. This included metrics around cost savings, efficiency gains, and revenue generation. Want to see what you’re saving with MindTouch?

Metrics 62

Metrics B2C B2B Self service 62

AWS Machine Learning

OCTOBER 2, 2024

This is often referred to as platform engineering and can be neatly summarized by the mantra “You (the developer) build and test, and we (the platform engineering team) do all the rest!” Amazon Bedrock is compatible with robust observability features to monitor and manage ML models and applications.

Government 114

Government APIs Enterprise Best practices 114

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 103

Best practices Feedback Metrics APIs 103

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. You can see the CloudWatch NeuronHasError_DMA_ERROR metric has the value 1.

Construction 107

Construction Metrics Scripts Engineering 107

AWS Machine Learning

FEBRUARY 12, 2024

For hyperparameter tuning, a hyperparameter optimization (HPO) job can be initiated, selecting the best model based on the objective metric. This decision is based on a condition metric defined in the configuration file. Training occurs in a distributed manner using Horovod, and the resulting model artifact is stored in Amazon S3.

Engineering 127

Engineering Wait times Metrics Accountability 127

AWS Machine Learning

JULY 10, 2024

This process enhances task-specific model performance, allowing the model to handle custom use cases with task-specific performance metrics that meet or surpass more powerful models like Anthropic Claude 3 Sonnet or Anthropic Claude 3 Opus. Under Output data , for S3 location , enter the S3 path for the bucket storing fine-tuning metrics.

APIs 128

APIs Airlines Metrics Engineering 128

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 111

Scripts Engineering Metrics Best practices 111

GetFeedback

AUGUST 16, 2018

Here’s a look at the top 11 customer service metrics you should start measuring today. Customer Happiness Metrics. These three metrics correlate with customer loyalty and retention more strongly than support efficiency metrics. At face value, NPS is a pretty simple metric—one score per customer, one overall score.

Metrics 79

Metrics Customer Service Surveys Self service 79

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 86

Metrics Best practices Analytics Accountability 86

AWS Machine Learning

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. An Amazon DataZone domain and an associated Amazon DataZone project configured in your AWS account.

Government 111

Government Banking Engineering Enterprise 111

AWS Machine Learning

JUNE 17, 2024

PrestoDB is an open source SQL query engine that is designed for fast analytic queries against data of any size from multiple sources. Prerequisites To implement the solution provided in this post, you should have an AWS account , a SageMaker domain to access Amazon SageMaker Studio , and familiarity with SageMaker, Amazon S3, and PrestoDB.

Scripts 116

Scripts Engineering Metrics Big data 116

AWS Machine Learning

JANUARY 12, 2023

This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. However, this can mean processing customer data in the form of personally identifiable information (PII) in relation to activities such as purchases, returns, use of flexible payment options, and account management.

Engineering 125

Engineering APIs Accountability Metrics 125

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. In the low-latency case, you need to account for the time it takes to generate the embedding vectors.

Best practices 129

Best practices Engineering SaaS Accountability 129

AWS Machine Learning

SEPTEMBER 30, 2024

An import job orchestrates the process to import the model and make the model available from the customer account. The import job copies all the model artifacts from the user’s account into an AWS managed S3 bucket. When the import job is complete, the fine-tuned model is made available for invocation from your AWS account.

APIs 83

APIs Real estate Accountability Metrics 83

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. With Service Quotas, you can view the maximum number of resources, actions, or items in your AWS account or AWS Region. For instructions, refer to Secure Your AWS Account.

Best practices 83

Best practices Metrics Accountability Engineering 83

AWS Machine Learning

MARCH 15, 2024

Healthcare organizations must navigate strict compliance regulations, such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States, while implementing FL solutions. FedML Octopus is the industrial-grade platform of cross-silo FL for cross-organization and cross-account training.

Healthcare 116

Healthcare Big data Engineering Accountability 116

AWS Machine Learning

SEPTEMBER 1, 2023

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

Engineering 122

Engineering Accountability Construction APIs 122

Amity

MARCH 24, 2017

If you’re in business today with a recurring revenue model, of the biggest questions you must ask is “where are the gaps in my revenue engine?” Most companies have revenue engines that run on delicately intertwined gears of new logos, retention and upsell/cross-sell.

Accountability 56

Accountability Engineering Metrics Upselling 56

AWS Machine Learning

DECEMBER 19, 2023

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. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.

Analytics 122

Analytics Engineering Government Best practices 122

AWS Machine Learning

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. Prompt engineering helps to effectively design and improve prompts to get better results on different tasks with LLMs.

Healthcare 122

Healthcare Engineering APIs Benchmark 122

AWS Machine Learning

NOVEMBER 17, 2022

Their production segment is therefore an integral building block for delivering on their mission—with a clearly stated ambition to become world-leading on metrics such as safety, environmental footprint, quality, and production costs. Extendibility – It can deploy to new Regions and accounts. Overview of solution.

APIs 96

APIs Accountability Metrics Engineering 96

AWS Machine Learning

JULY 8, 2024

TWCo data scientists and ML engineers took advantage of automation, detailed experiment tracking, integrated training, and deployment pipelines to help scale MLOps effectively. AWS CloudTrail – Monitors and records account activity across AWS infrastructure. This is just one of many ways AWS enables builders to deliver great solutions.

Engineering 109

Engineering Enterprise APIs Government 109

Lumoa

MAY 16, 2024

Meanwhile, you can almost hear the prudent software engineers screaming: “This is not a process!” This iterative approach doesn’t always fit into the linear development pipelines that software engineers are accustomed to. In software engineering, quality is often about something working correctly or not.

Engineering 78

Engineering Banking Metrics Big data 78

AWS Machine Learning

SEPTEMBER 6, 2024

Aperture – Important aspects to take into account for a user question. It notes how each element of a given creative performs under a certain metric; for example, how the CTA affects the view-through rate of the ad. Perfect is determined as being given a 9/10 or 10/10 on the specific metrics by subject matter experts.

Analytics 115

Analytics Metrics Chatbots Engineering 115

AWS Machine Learning

JUNE 25, 2024

A new automatic dashboard for Amazon Bedrock was added to provide insights into key metrics for Amazon Bedrock models. From here you can gain centralized visibility and insights to key metrics such as latency and invocation metrics. Optionally, you can select a specific model to isolate the metrics to one model.

Metrics 114

Metrics APIs Government Big data 114