AWS Machine Learning

JANUARY 10, 2023

This post describes the best practices for load testing a SageMaker endpoint to find the right configuration for the number of instances and size. From there, we dive into how you can track and understand the metrics and performance of the SageMaker endpoint utilizing Amazon CloudWatch metrics. Metrics to track.

Best practices 72

Best practices Scripts APIs Metrics 72

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 103

Best practices Engineering Metrics APIs 103

AWS Machine Learning

FEBRUARY 8, 2023

Although you can integrate the model directly into an application, the approach that works well for production-grade applications is to deploy the model behind an endpoint and then invoke the endpoint via a RESTful API call to obtain the inference. However, you can use any other benchmarking tool.

Benchmark 76

Benchmark Metrics APIs Engineering 76

AWS Machine Learning

NOVEMBER 22, 2023

It also provides guidance to tackle common challenges, enabling you to architect your IDP workloads according to best practices. Focus areas The design principles and best practices of the Cost Optimization pillar are based on insights gathered from our customers and our IDP technical specialist communities.

Finance 83

Finance Best practices APIs Accountability 83

AWS Machine Learning

MAY 9, 2023

In addition, you can now use Application Auto Scaling with provisioned concurrency to address inference traffic dynamically based on target metrics or a schedule. In this post, we discuss what provisioned concurrency and Application Auto Scaling are, how to use them, and some best practices and guidance for your inference workloads.

Metrics 67

Metrics Best practices APIs Engineering 67

AWS Machine Learning

MAY 7, 2024

With SageMaker JumpStart, you can evaluate, compare, and select FMs quickly based on predefined quality and responsibility metrics to perform tasks like article summarization and image generation. To deploy a model from SageMaker JumpStart, you can use either APIs, as demonstrated in this post, or use the SageMaker Studio UI.

Engineering 92

Engineering Technical Support Chatbots Best practices 92

AWS Machine Learning

MAY 8, 2023

To use TensorRT as a backend for Triton Inference Server, you need to create a TensorRT engine from your trained model using the TensorRT API. The trtexec tool has three main purposes: Benchmarking networks on random or user-provided input data. For this post, we use the trtexec CLI tool. Generating serialized engines from models.

Engineering 83

Engineering APIs Best practices Scripts 83

AWS Machine Learning

APRIL 12, 2023

All the training and evaluation metrics were inspected manually from Amazon Simple Storage Service (Amazon S3). For every epoch in our training, we were already sending our training metrics through stdOut in the script. This allows us to compare training metrics like accuracy and precision across multiple runs as shown below.

Scripts 81

Scripts APIs Metrics Best practices 81

Cincom

MAY 3, 2024

How Speed and Efficiency Result in Profitability and Sustainability Beyond impressive productivity metrics, consider the tangible financial upsides introduced through efficiency gains from document automation. Customized blueprints align tools tightly to specific business objectives based on industry best practices.

Enterprise 40

Enterprise CRM APIs Customer retention 40

Pointillist

JULY 25, 2018

Success Metrics for the Team. Ultimately, the biggest success metric for the Champion is to be able to show the Executive Sponsor and key Stakeholders that real business value has been gained through the use of customer journey analytics. Success Metrics for the Project. Success Metrics for the Business. Churn Rate.

Analytics 93

Analytics Government APIs Metrics 93

aircall

FEBRUARY 8, 2021

To assist your efforts with your company’s sales planning process, we’ve put together some guidelines and best practices for effective sales planning. Set realistic goals as a benchmark for forecasting reasonable goals in the future. Sales Planning Best Practices. Where do best practices come from?

Sales 62

Sales call center software Best practices Call Center 62

Comm100

NOVEMBER 13, 2022

With this all in mind, this guide will explore customer service from top to bottom, exploring the state of customer service today, revealing best practices, and recommending the best software you can adopt to help your customer service operations become the envy of your competitors. Customer service best practices.

Customer Service 75

Customer Service Chatbots Best practices Surveys 75

JustCall

MARCH 9, 2023

After the software processes all this data, it can generate reports on sales performance metrics like sentiment, buying moments, call conversions, revenue from calls, average deal size, and more. Conversational AI enables the system to perform end-to-end actions through Application Programming Interfaces (API).

Coaching 52

Coaching Sales Chatbots Analytics 52

Xaqt

JUNE 22, 2020

Most cloud based Contact Center providers provide documented APIs to access your data, while with many legacy contact center vendors, it's still a challenge to get your data out of their reporting tools or platforms. It often requires additional licensing, or developing a custom application against their APIs to extract the data.

Call Center 52

Call Center Contact Center Analytics Engineering 52

Pointillist

JULY 25, 2018

Success Metrics for the Team Champion – It is important for the champion to understand thoroughly the value of customer journey analytics as an analytics platform and believe that the regular users have built proficiency to use the platform meaningfully on a regular basis. Pick a mix of financial, customer and operational metrics.

Analytics 43

Analytics Metrics Government Journey mapping 43

Comm100

MAY 7, 2019

Can integrations and APIs be used to connect the platform to other systems, making deep personalisation automatic? What are the customer satisfaction benchmarks for this platform? Download CCW’s latest report for insights into how live chat can be disrupted to maximize impact by using modern tools, technology, and best practices.

APIs 40

APIs Benchmark Wait times Best practices 40

Vistio

SEPTEMBER 20, 2021

I think it’s easy to buy into the promise of eight easy APIs and being able to integrate data from different systems, but slowing down to define as a client what you really want, what you need, and then also how you’re going to be able to maintain and improve those integrations over time are something that we see often over sighted.

Contact Center 52

Contact Center Technology Finance Average Handle Time 52

AWS Machine Learning

MARCH 19, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies and Amazon via a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI. A limitation of the approach is its larger computational cost.

APIs 105

APIs Benchmark SaaS Engineering 105

AWS Machine Learning

NOVEMBER 9, 2022

You can easily view the performance metrics for your endpoints in Amazon CloudWatch , automatically scale endpoints based on traffic, and update your models in production without losing any availability. In this post, we discuss SageMaker multi-variant endpoints and best practices for optimization.

Best practices 52

Best practices Construction Metrics Enterprise 52