AWS Machine Learning

NOVEMBER 16, 2023

Enable a data science team to manage a family of classic ML models for benchmarking statistics across multiple medical units. These capabilities are essential for demonstrating compliance with regulatory standards and ensuring transparency and accountability in AI/ML workflows.

Healthcare 91

Healthcare Government Engineering APIs 91

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 114

Best practices Benchmark Transportation Engineering 114

aircall

MAY 24, 2021

By following best practices for your digital transformation framework, you also get the benefit of flexibility so you can add and subtract digital tools as your company’s needs change. Software integrations assist on both accounts. Accountability framework. Run an audit to create a benchmark to map your current status.

Best practices 62

Best practices Call Center Technology Analytics 62

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. Teams should regularly meet and discuss topics such as organizational goals and targets with your IDP solution, current state of cost and usage, and financial and accounting practices.

Finance 83

Finance Best practices APIs Accountability 83

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. large two-core machine.

Benchmark 77

Benchmark Metrics APIs Engineering 77

AWS Machine Learning

MARCH 15, 2024

Policies and regulations like General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPPA), and California Consumer Privacy Act (CCPA) put guardrails on sharing data from the medical domain, especially patient data.

Healthcare 101

Healthcare Government Best practices Engineering 101

AWS Machine Learning

MAY 7, 2024

As a starting point, you can refer to the model documentation which typically includes recommendations and best practices for prompting the model, and examples provided in SageMaker JumpStart. 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 9, 2023

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. You can then use that text file when invoking the AWS Command Line Interface (AWS CLI) or the Application Auto Scaling API.

Metrics 67

Metrics Best practices APIs Engineering 67

Cincom

MAY 3, 2024

An integrated automation solution can build customized onboarding kits full of engaging content like: Account summaries with pending orders, ship dates, etc. This reliability retains accounts that may otherwise defect to competitors seemingly more responsive to their needs.

Enterprise 40

Enterprise CRM APIs Customer retention 40

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. Sales plans typically account for short- and long-term planning. For the best results, develop your sales plan well in advance. The best plans account for multiple levels.

Sales 62

Sales call center software Best practices Call Center 62

JustCall

MARCH 9, 2023

With CI technology, you can rest assured that all (100%) customer interactions are accounted for and recorded, leaving no room for error. AI Scoring In order to gain insights into their performance, each rep receives a scoring on how well they followed their call playbook and how well they adhered to best practices.

Coaching 52

Coaching Sales Chatbots Analytics 52

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

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. 3rd Party APIs: Pointillist has a large number of connectors using 3rd party APIs. Raw data can be sent directly to Pointillist without requiring aggregations or roll-ups of any kind. Getting Data into Pointillist.

Analytics 93

Analytics Government APIs Metrics 93

Pointillist

JULY 25, 2018

Pointillist can handle data in all forms, whether it is in tables, excel files, server logs, or 3rd party APIs. 3rd Party APIs: Pointillist has a large number of connectors using 3rd party APIs. Data in any format may be uploaded to this endpoint. This process typically takes 1-2 days.

Analytics 43

Analytics Metrics Government Journey mapping 43

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 106

APIs Benchmark SaaS Engineering 106

AWS Machine Learning

NOVEMBER 9, 2022

In this post, we discuss SageMaker multi-variant endpoints and best practices for optimization. Your application simply needs to include an API call with the target model to this endpoint to achieve low-latency, high-throughput inference. Best practices for multi-variant endpoints. About the authors.

Best practices 52

Best practices Construction Metrics Enterprise 52