AWS Machine Learning

MARCH 27, 2024

That’s why it’s good practice to check if you actually need to fine-tune your model for your use case or if prompt engineering is sufficient. With some prompt engineering, we can provide more details to get closer to the look of our favorite pets. The data remains in the same Region where the API call is processed.

APIs 86

APIs Accountability Engineering Entertainment 86

AWS Machine Learning

OCTOBER 18, 2023

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 94

APIs Metrics Consulting Consulting 94

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 103

Engineering Accountability Construction APIs 103

AWS Machine Learning

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Best practices 122

Best practices Government Engineering Accountability 122

AWS Machine Learning

APRIL 17, 2023

You can use Amazon Fraud Detector to build customized fraud detection models using your own historical dataset, add decision logic using the built-in rules engine, and orchestrate risk decision workflows with a click of a button. The following table defines these metrics. AUC uncertainty interval > 0.3

APIs 71

APIs Government Metrics Engineering 71

AWS Machine Learning

JULY 7, 2022

You can use APIs or AWS CloudFormation (see Creating Amazon Lex V2 resources with AWS CloudFormation ) to manage the bot programmatically. Identify user experience metrics – Defining the conversational experience can be hard. You should evaluate the user experience, and invest in an automated testing to generate key metrics.

Best practices 75

Best practices Metrics APIs Accountability 75

AWS Machine Learning

DECEMBER 21, 2022

Amazon SageMaker Feature Store is a purpose-built feature management solution that helps data scientists and ML engineers securely store, discover, and share curated data used in training and prediction workflows. The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account.

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

NOVEMBER 1, 2022

Data scientists need to only provide a tabular dataset and select the target column to predict, and Autopilot automatically infers the problem type, performs data preprocessing and feature engineering, selects the algorithms and training mode, and explores different configurations to find the best ML model. Prerequisites.

Scripts 77

Scripts APIs Metrics Engineering 77

AWS Machine Learning

JULY 6, 2023

Depending on the needs, any and all parts of the ML lifecycle can be run in either the customer AWS account or SaaS AWS account, and data and models can be shared across accounts using AWS Identity and Access Management (IAM) policies or third-party user-based access tools. The recommended method is to use IAM roles.

SaaS 75

SaaS Accountability APIs Engineering 75

AWS Machine Learning

NOVEMBER 8, 2023

We have developed a MONAI Deploy connector to AHI to integrate medical imaging AI applications with subsecond image retrieval latencies at scale powered by cloud-native APIs. AHI provides API access to ImageSet metadata and ImageFrames. These two options cover a majority of near-real-time medical imaging inference pipeline use cases.

Healthcare 95

Healthcare APIs Enterprise Engineering 95

AWS Machine Learning

DECEMBER 1, 2022

You can then compare the performance of the two versions using metrics such as latency and error rate. Optionally, you can monitor the variants through a built-in dashboard with a side-by-side comparison of the performance metrics. Please refer to the CreateModel API here. Pre-requisites. Step 1 – Create a shadow test.

APIs 78

APIs Metrics Management Engineering 78

AWS Machine Learning

MARCH 28, 2024

You can scrape the filings from EDGAR directly, or use APIs in Amazon SageMaker with a few lines of code, for any period of time and for a large number of tickers (i.e., For the latter, the authors assign sampling weights for each data points according the metric values, and then randomly sample k data points to meet the training budget.

Finance 96

Finance Metrics Banking Engineering 96

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 81

Engineering APIs Metrics Management 81

AWS Machine Learning

AUGUST 30, 2023

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. This metric compares an automatically produced summary against a reference or a set of references (human-produced) summary or translation.

Healthcare 111

Healthcare APIs Metrics Scripts 111

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. Maintainability – The platform’s architecture and code base should be well organized, modular, and maintainable.

Healthcare 89

Healthcare Government Engineering APIs 89

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 79

Engineering Accountability APIs Metrics 79

AWS Machine Learning

NOVEMBER 16, 2022

Enhanced monitoring and observability for ML workloads including Amazon EKS, Kubeflow metrics, and application logs using Prometheus, Grafana, and Amazon CloudWatch integrations. Added integration with Amazon Managed Service for Prometheus (AMP) and Amazon Managed Grafana to monitor metrics with Kubeflow on AWS. and PyTorch 1.12.1.

Metrics 67

Metrics Scripts Enterprise APIs 67

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

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 client('sts').get_caller_identity()['Account']

APIs 66

APIs Engineering Construction Benchmark 66

AWS Machine Learning

JUNE 24, 2022

In a previous post , we talked about analyzing and tagging assets stored in Veeva Vault PromoMats using Amazon AI services and the Veeva Vault Platform’s APIs. Anomaly detection – You can share Veeva PromoMats documents to Amazon Lookout for Metrics for anomaly detection.

APIs 72

APIs Healthcare SaaS Engineering 72

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. Gopi Mudiyala is a Senior Technical Account Manager at AWS. Iaroslav Shcherbatyi is a Machine Learning Engineer at AWS.

APIs 76

APIs Enterprise Benchmark Metrics 76

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. Based on these metrics an informed decision can be made. Neuron compilation explained The Neuron SDK’s API closely resembles the PyTorch Python API. 3 Inf1.24xlarge 16 64 1.5 code as the entry point.

Scripts 73

Scripts APIs Engineering Best practices 73

AWS Machine Learning

NOVEMBER 21, 2022

Evaluate model performance on the hold-out test data with various evaluation metrics. 2xlarge instances, so you should raise a service limit increase request if your account requires increased limits for this type. This notebook demonstrates how to use the JumpStart API for text classification. Training uses five ml.g4dn.2xlarge

Scripts 71

Scripts Metrics APIs Healthcare 71

AWS Machine Learning

AUGUST 11, 2022

For example, in some e-commerce platforms, account registration is wide open. Fraudsters can behave maliciously just once with an account and never use the same account again. Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API.

Construction 83

Construction APIs Accountability Scripts 83

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. The Map State processes each chunk in parallel.

Construction 103

Construction Metrics Best practices APIs 103

AWS Machine Learning

APRIL 6, 2023

Overall, Forecast outperformed all other methods based on a backtesting approach (described in the Evaluation Metrics section later in this post) for macro-level sales prediction. The Boto3 API provides the create_auto_predictor function for training an auto prediction model. We evaluated the model performance using the WAPE.

Sales 78

Sales Metrics APIs Marketing 78

AWS Machine Learning

OCTOBER 5, 2022

Based on 10 years of historical data, hundreds of thousands of face-offs were used to engineer over 70 features fed into the model to provide real-time probabilities. By continuously listening to NHL’s expertise and testing hypotheses, AWS’s scientists engineered over 100 features that correlate to the face-off event.

Calibration 91

Calibration Engineering Automotive Analytics 91

Amity

SEPTEMBER 14, 2017

Account Views. Amity’s newest updates include a powered-up version of the views engine. For each view, filter your accounts and keep it concise by selecting which columns to display. We’ve added the ability to clone accounts views, people views, and rules. Account Roles. Account Manager. &

Accountability 61

Accountability APIs Engineering CRM 61

pindrop

JULY 6, 2021

There are frequent security issues possibly leading to account takeovers. On an inbound call, businesses can use the ANI to search their own database for a match with an existing customer account. In order to safely match an ANI with an existing account, businesses must first validate that the ANI has not been changed or manipulated.

Contact Center 70

Contact Center Average Handle Time APIs Best practices 70

aircall

JUNE 11, 2021

2015 — An open API (applied programming interface) technology was invented to allow software applications to sync and share data between them. A discussion of voice communications isn’t complete without VoIP (voice over internet protocol) and an open API (applied programming interface) technology. Telecommunication Now.

voip 62

voip APIs Call Center Telecommunications 62

CustomerSuccessBox

NOVEMBER 2, 2021

This is also the preferred method for high-priority accounts. Complete Account Information : Customer company name, the industry they are in, product-market fit, company size, and contract information. Customer Success : The metrics by which we will measure the value we are providing to the customer. Hand-holding at every step.

Sales 52

Sales Engineering Upselling Customer retention 52

AWS Machine Learning

MARCH 20, 2023

Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. Metric FP32 INT8 Exact Match 85.8751 85.5061 F1 92.0807 91.8728 The GitHub repo comes with the scripts to check the accuracy of the SQuAD dataset. Solutions Architect in the Strategic Accounts team at AWS. Refer to invoke-INT8.py

Calibration 78

Calibration Scripts Benchmark APIs 78

Amity

SEPTEMBER 14, 2017

Account Views. Amity’s newest updates include a powered-up version of the views engine. For each view, filter your accounts and keep it concise by selecting which columns to display. We’ve added the ability to clone accounts views, people views, and rules. Account Roles. Account Manager. &

Accountability 51

Accountability APIs Engineering CRM 51

aircall

DECEMBER 19, 2022

With a clear view of issues such as caller wait times, solutions can be engineered before the challenges start to hurt client relationships. . Pricing: Starting from $26 per account per month. Call analytics from both also ensure that you track metric efficiency. . Information sharing. Grasshopper. Entry-level integrations: 15.

voip 62

voip Analytics APIs Interactive Voice Response 62

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.

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Amity

SEPTEMBER 25, 2017

Customer Operations means everything from Customer Success to Customer Support, Engineering Support, and Professional Services. I started early on in a blue-collar, manufacturing background doing account management and account services. How is your team structured, why, and how has that structure evolved over time?

B2C 0

B2C SaaS Accountability B2B 0

SmartKarrot

AUGUST 10, 2021

Role: Senior Director, Customer Success – Strategic Accounts Location: San Francisco, CA, US Organization: Checkr, Inc As a Senior Director of Customer Success, you will define and execute on a scalable strategy for driving adoption and growth across the customer base.

Engineering 17

Engineering Best practices APIs Accountability 17