AWS Machine Learning

MARCH 13, 2023

This post is co-written with Mahima Agarwal, Machine Learning Engineer, and Deepak Mettem, Senior Engineering Manager, at VMware Carbon Black VMware Carbon Black is a renowned security solution offering protection against the full spectrum of modern cyberattacks.

Engineering 82

Engineering APIs Metrics Management 82

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 104

Engineering Accountability Construction APIs 104

AWS Machine Learning

NOVEMBER 16, 2022

For an example account structure to follow organizational unit best practices to host models using SageMaker endpoints across accounts, refer to MLOps Workload Orchestrator. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices. Prerequisites.

Accountability 83

Accountability Best practices Scripts Engineering 83

AWS Machine Learning

OCTOBER 5, 2022

Each year, bad actors compromise billions of accounts through stolen credentials, phishing, social engineering, and multiple forms of ATO. For a real-time prediction, you call the GetEventPrediction API after a user presents valid login credentials to quantify the risk of ATO. billion in 2021 compared with 2020. Upload event data.

Accountability 71

Accountability APIs Metrics Engineering 71

AWS Machine Learning

SEPTEMBER 9, 2022

Amp wanted a scalable data and analytics platform to enable easy access to data and perform machine leaning (ML) experiments for live audio transcription, content moderation, feature engineering, and a personal show recommendation service, and to inspect or measure business KPIs and metrics. This post is the first in a two-part series.

Analytics 70

Analytics Engineering APIs Metrics 70

AWS Machine Learning

OCTOBER 2, 2023

For more information about best practices, refer to the AWS re:Invent 2019 talk, Build accurate training datasets with Amazon SageMaker Ground Truth. For this we use AWS Step Functions , a serverless workflow service that provides us with API integrations to quickly orchestrate and visualize the steps in our workflow.

Scripts 94

Scripts Construction Engineering APIs 94

AWS Machine Learning

APRIL 24, 2023

In this post, we explore how AWS customer Pro360 used the Amazon Comprehend custom classification API , which enables you to easily build custom text classification models using your business-specific labels without requiring you to learn machine learning (ML), to improve customer experience and reduce operational costs.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

SEPTEMBER 8, 2023

The TextractAsync task calls Amazon Textract using the asynchronous Application Programming Interface (API) following best practices with Amazon Simple Notification Service ( Amazon SNS ) notifications and OutputConfig to store the Amazon Textract JSON output to a customer Amazon S3 bucket.

Construction 104

Construction Metrics Best practices APIs 104

AWS Machine Learning

JULY 24, 2023

This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. Because there is no such existing feature in a patent search engine (to their best knowledge), Patsnap believes adding this feature will increase end-user stickiness. gpt2 and predictor.py

APIs 67

APIs Engineering Construction Benchmark 67

AWS Machine Learning

NOVEMBER 16, 2023

With SageMaker MLOps tools, teams can easily train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity of data scientists and ML engineers while maintaining model performance in production. Another important metric is the efficiency for data science users.

Healthcare 90

Healthcare Government Engineering APIs 90

AWS Machine Learning

MARCH 13, 2023

Using the SageMaker Inference Toolkit in building the Docker image allows us to easily use best practices for model serving and achieve low-latency inference. Finally, we use Amazon API Gateway as a way of integrating with our front end, the Ground Truth labeling application, to provide secure authentication to our backend.

Metrics 69

Metrics APIs Feedback Engineering 69

AWS Machine Learning

JUNE 5, 2023

Desired target metrics, improvement monitoring, and convergence detection monitors the performance of the model and assists with early stopping if the models don’t improve after a defined number of training jobs. Autotune uses best practices as well as internal benchmarks for selecting the appropriate ranges.

APIs 77

APIs Enterprise Benchmark Metrics 77

AWS Machine Learning

JANUARY 4, 2024

In this post, we provide an introduction to text to SQL (Text2SQL) and explore use cases, challenges, design patterns, and best practices. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) via a single API, enabling to easily build and scale Gen AI applications.

Best practices 121

Best practices Enterprise Engineering APIs 121

AWS Machine Learning

NOVEMBER 9, 2022

The Triton server loads multiple models and exposes ports 8000, 8001, and 8002 as gRPC, HTTP, and metrics server. A complete API call from the client is as follows: The client assembles the request and initiates the request to a SageMaker endpoint. Prepare models and build the engine. Test the TensorRT engine.

Engineering 80

Engineering Accountability APIs Metrics 80

AWS Machine Learning

JULY 24, 2023

If the model changes on the server side, the client has to know and change its API call to the new endpoint accordingly. In this post, we share best practices to deploy deep learning models with FastAPI on AWS Inferentia NeuronCores. Based on these metrics an informed decision can be made. 3 Inf1.24xlarge 16 64 1.5

Scripts 73

Scripts APIs Engineering Best practices 73

pindrop

JULY 6, 2021

Keep things simple with API integration whenever possible. Pindrop’s APIs are straightforward – the footprint is small, they’re effortless to use. It’s a simple process, and the APIs are leveraged across both the agent leg and the IVR leg of the call. CALLER AUTHENTICATION BEST PRACTICES.

Contact Center 70

Contact Center Average Handle Time APIs Best practices 70

AWS Machine Learning

APRIL 6, 2023

While keeping a constant collaborative workstream with our team, MLSL helped us with upskilling our professionals when it comes to scientific excellence and best practices on ML development using AWS infrastructure.” – Bart Zeeman, Strategist and Analyst at CTO office in NXP Semiconductors.

Sales 79

Sales Metrics APIs Marketing 79

AWS Machine Learning

FEBRUARY 16, 2023

Amazon Kendra removes all the document data stored in the index, and all run histories and metrics associated with the data source. She provides technical guidance to AWS Partners in following best practices to build secure, resilient, and highly available solutions in the AWS Cloud. Pass the document as binary data (blob).

Enterprise 70

Enterprise APIs Engineering Best practices 70

AWS Machine Learning

OCTOBER 13, 2022

AWS offers a pre-trained and fully managed AWS AI service called Amazon Rekognition that can be integrated into computer vision applications using API calls and require no ML experience. You just have to provide an image to the Amazon Rekognition API and it can identify the required objects according to pre-defined labels.

Healthcare 70

Healthcare APIs Automotive Consulting 70

AWS Machine Learning

APRIL 29, 2024

This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. It provides an approachable, robust Python API for the full infrastructure stack of ML/AI, from data and compute to workflows and observability. The following figure illustrates this workflow.

APIs 98

APIs Engineering Scripts Management 98

AWS Machine Learning

AUGUST 14, 2023

With a big focus on state-of-the art retrieval methods and solid evaluation metrics, it provides you with everything you need to ship a reliable, trustworthy application. With the vector database capabilities of OpenSearch Service, you can implement semantic search, RAG with LLMs, recommendation engines, and search rich media.

Enterprise 70

Enterprise Scripts Best practices Analytics 70

SmartKarrot

AUGUST 10, 2021

Be a thought leader in developing and executing on Customer Success and Account Management best practices that can be used across the organization. Define and implement procedures, metrics, and reporting processes related to the application usage to determine key insights to the customer experience.

Engineering 17

Engineering Best practices APIs Accountability 17

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 101

Best practices Engineering Metrics APIs 101

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 114

Best practices Engineering SaaS APIs 114

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 113

Best practices Benchmark Transportation Engineering 113

Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. In parallel, we created an API Support team, and we launched Customer Success about 1 year and a half ago. What metrics do you watch closely? You’ll need to put in work to stay relevant.

B2C 0

B2C SaaS Accountability B2B 0

AWS Machine Learning

APRIL 23, 2024

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. It calls the CreateDataSource and DeleteDataSource APIs. Minimally, you must specify the following properties: Name – Specify a name for the knowledge base.

APIs 106

APIs Enterprise Scripts Accountability 106

AWS Machine Learning

SEPTEMBER 28, 2023

A Generative AI Gateway can help large enterprises control, standardize, and govern FM consumption from services such as Amazon Bedrock , Amazon SageMaker JumpStart , third-party model providers (such as Anthropic and their APIs), and other model providers outside of the AWS ecosystem. What is a Generative AI Gateway?

APIs 98

APIs Government Enterprise Engineering 98

AWS Machine Learning

JUNE 27, 2023

This post explains how Provectus and Earth.com were able to enhance the AI-powered image recognition capabilities of EarthSnap, reduce engineering heavy lifting, and minimize administrative costs by implementing end-to-end ML pipelines, delivered as part of a managed MLOps platform and managed AI services.

Engineering 96

Engineering APIs Scripts Entertainment 96

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 81

Metrics Engineering Accountability Telecommunications 81

AWS Machine Learning

NOVEMBER 22, 2023

Hear best practices for using unstructured (video, image, PDF), semi-structured (Parquet), and table-formatted (Iceberg) data for training, fine-tuning, checkpointing, and prompt engineering. This session uses the Claude 2 LLM as an example of how prompt engineering helps to solve complex customer use cases.

Engineering 112

Engineering Best practices APIs Government 112

Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. In parallel, we created an API Support team, and we launched Customer Success about 1 year and a half ago. What metrics do you watch closely? You’ll need to put in work to stay relevant.

B2C 60

B2C SaaS Accountability B2B 60

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

SmartKarrot

MAY 31, 2021

Support API customization projects, as well as embedded integrations projects. Evangelize best practices of product usage and perform training to achieve a high degree of customer satisfaction. Develop a strong partnership with customer stakeholders, partners, and executive sponsors to drive product adoption.

Upselling 10

Upselling APIs Accountability Engineering 10

AWS Machine Learning

OCTOBER 16, 2023

Apart from GPU provisioning, this setup also required data scientists to build a REST API wrapper for each model, which was needed to provide a generic interface for other company services to consume, and to encapsulate preprocessing and postprocessing of model data. Two MMEs were created at Veriff, one for staging and one for production.

APIs 85

APIs Best practices Engineering Metrics 85

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 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 84

Engineering APIs Best practices Scripts 84