AWS Machine Learning

MARCH 1, 2023

Amazon Comprehend is a managed AI service that uses natural language processing (NLP) with ready-made intelligence to extract insights about the content of documents. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document.

APIs 68

APIs Metrics Accountability Scripts 68

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 83

Accountability Best practices Scripts Engineering 83

AWS Machine Learning

DECEMBER 12, 2022

Amazon Comprehend provides customized features, custom entity recognition , custom classification , and pre-trained APIs such as key phrase extraction, sentiment analysis, entity recognition, and more so you can easily integrate NLP into your applications. As a result, each document has at least one class assigned to it, but can have more.

APIs 75

APIs Accountability Enterprise Metrics 75

AWS Machine Learning

NOVEMBER 22, 2023

The IDP Well-Architected Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build secure, efficient, and reliable IDP solutions on AWS. This post focuses on the Operational Excellence pillar of the IDP solution.

Best practices 87

Best practices Metrics Feedback Enterprise 87

AWS Machine Learning

MARCH 28, 2024

For example, the training data used for BloombergGPT is 51% domain-specific documents, including financial news, filings, and other financial materials. An SEC filing is a financial statement or other formal document submitted to the US Securities and Exchange Commission (SEC). This creates a large number of documents over the years.

Finance 99

Finance Metrics Banking Engineering 99

AWS Machine Learning

JANUARY 12, 2023

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. The team used code examples in the documentation to accelerate the proof of concept and quickly proved potential within a day.

Engineering 110

Engineering APIs Accountability Metrics 110

AWS Machine Learning

MARCH 29, 2023

The Independent Evaluation Office (IEO) is a functionally independent office within the UNDP that supports the oversight and accountability functions of the Executive Board and management of the UNDP, UNCDF, and UNV. The data ingestion and extraction component ingests and extracts content from these unstructured documents.

APIs 70

APIs Construction Metrics Technology 70

AWS Machine Learning

OCTOBER 10, 2022

From the combined industry experience, the solution team believes that many of the modus operandi in a mobile environment is driven by fraudsters having tools and methods to create fake accounts at scale and bypass a platform’s security checks on the device, thereby enabling them to exploit the platform for large returns.

APIs 70

APIs Accountability Metrics Government 70

AWS Machine Learning

APRIL 11, 2024

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Categorizing documents is an important first step in IDP systems.

APIs 104

APIs Banking Enterprise Engineering 104

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

MAY 22, 2023

Prerequisites To get started, all you need is an AWS account in which you can use Studio. Use the following code to point to the location of the data and set up the output location in a bucket in your account: from sagemaker.s3 We only use the unanswerable questions. import S3Downloader # We will use the train split of SQuAD2.0

APIs 92

APIs Scripts Metrics Accountability 92

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. The Amazon AppFlow Veeva connector is the first Amazon AppFlow connector supporting automatic transfer of Veeva documents. Moreover, you can import document metadata.

APIs 73

APIs Healthcare SaaS Engineering 73

AWS Machine Learning

JANUARY 8, 2024

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). In this post, we focus on processing a large collection of documents into raw text files and storing them in Amazon S3.

Scripts 91

Scripts Construction APIs Healthcare 91

AWS Machine Learning

AUGUST 30, 2023

Radiology reports are comprehensive, lengthy documents that describe and interpret the results of a radiological imaging examination. 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.

Healthcare 115

Healthcare APIs Metrics Scripts 115

AWS Machine Learning

DECEMBER 6, 2023

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. For example, imagine that you are planning next year’s strategy of an investment company.

Analytics 104

Analytics APIs Engineering Construction 104

AWS Machine Learning

MARCH 20, 2023

To access the code and documentation, refer to the GitHub repo. Given a document as an input, the model will answer simple questions based on the learning and contexts from the input document. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. times greater with INT8 quantization.

Calibration 79

Calibration Scripts Benchmark APIs 79

AWS Machine Learning

APRIL 24, 2023

Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. The steps are as follows: The client side calls Amazon API Gateway as the entry point to provide a client message as input. API Gateway bypasses the request to Lambda.

APIs 62

APIs Customer Experience Feedback Chatbots 62

AWS Machine Learning

AUGUST 14, 2023

Enterprise search is a critical component of organizational efficiency through document digitization and knowledge management. Enterprise search covers storing documents such as digital files, indexing the documents for search, and providing relevant results based on user queries. Initialize DocumentStore and index documents.

Enterprise 69

Enterprise Scripts Best practices Analytics 69

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. Metadata contains all DICOM attributes in a JSON document.

Healthcare 98

Healthcare APIs Enterprise Engineering 98

Nicereply

NOVEMBER 16, 2021

This document will give you a comprehensive view of what you can expect from the Front CSAT survey. From that point of view, it is a practical thing that you don’t need to create a new account, copy API keys, or worry about incorrect credentials. Now you see an agents’ average score and the number of metrics.

Surveys 111

Surveys Metrics Analytics Enterprise 111

AWS Machine Learning

MAY 10, 2023

It provides a suite of tools for visualizing training metrics, examining model architectures, exploring embeddings, and more. TensorFlow and PyTorch projects both endorse and use TensorBoard in their official documentation and examples. x_test / 255.0 x_test / 255.0 strftime("%d-%m-%Y-%H-%M-%S") region = boto3.session.Session().region_name

Scripts 73

Scripts Metrics Construction APIs 73

AWS Machine Learning

DECEMBER 21, 2022

The offline store data is stored in an Amazon Simple Storage Service (Amazon S3) bucket in your AWS account. A new optional parameter TableFormat can be set either interactively using Amazon SageMaker Studio or through code using the API or the SDK. put_record API to ingest individual records or to handle streaming sources.

Scripts 74

Scripts Engineering APIs Big data 74

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

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

NobelBiz

NOVEMBER 27, 2023

This information facilitates performance analysis, accountability, and targeted training and coaching for agents. These tools analyze call data and generate reports or visualizations that highlight key metrics, such as call volumes, peak call times, or average call duration.

Call Logging 59

Call Logging voip Contact center software CRM 59

AWS Machine Learning

NOVEMBER 16, 2023

Reproducibility and traceability must be enabled automatically by the end-to-end data processing pipelines, where many mandatory documentation artifacts, such as data lineage reports and model cards, can be prepared automatically. These reports document the versioning of datasets, models, and code.

Healthcare 92

Healthcare Government Engineering APIs 92

aircall

JANUARY 25, 2023

The best integrations should include a one-click set-up, webhooks and API, computer telephony integration (CTI), contact synchronization, and insight cards. This comparison table of the top alternatives takes into account pricing, integrations, and features to ensure you have all the information you need to make the right choice.

Interactive Voice Response 62

Interactive Voice Response call center solutions Analytics APIs 62

AWS Machine Learning

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively. words for English).

Engineering 106

Engineering Accountability Construction APIs 106

CustomerSuccessBox

NOVEMBER 2, 2021

This is also the preferred method for high-priority accounts. Creating a perfect Sales to Customer Success handoff document: Probably the best way to ensure that everything goes smoothly is to have documentation about each step, every data point, or information. This is where the Sales to CS handoff document is essential.

Sales 52

Sales Engineering Upselling Customer retention 52

AWS Machine Learning

JANUARY 26, 2024

In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.

Best practices 126

Best practices Government Engineering Accountability 126

CustomerSuccessBox

APRIL 3, 2022

Find your access credentials and API key information below. An API key is available under xxxxxxxxxxxxxxxxx Technical Resources Also find the resources for your tech team, if they wish to review. At the high level, we will discuss Real Growth in SaaS metrics of yours like MRR Retention, MRR churn, Onboarding time, etc.

APIs 52

APIs Accountability SaaS Marketing 52

Amity

SEPTEMBER 14, 2017

Account Views. For each view, filter your accounts and keep it concise by selecting which columns to display. New categories are available to organize your views: As always, the default view “All Accounts” is accessible by everyone on your team, at first glance. Account Roles. Account Manager. &

Accountability 61

Accountability APIs Engineering CRM 61

ChurnZero

NOVEMBER 5, 2021

We also recommend creating an Account segment and a Contact segment to QA the fields that are most critical to the software’s performance. We recommend creating the below QA segments which include key fields that are commonly missed on the Account and Contact level.

Accountability 52

Accountability CRM APIs Benchmark 52

ChurnZero

NOVEMBER 5, 2021

We also recommend creating an Account segment and a Contact segment to QA the fields that are most critical to the software’s performance. We recommend creating the below QA segments which include key fields that are commonly missed on the Account and Contact level. Start Date. Next Renewal Date. Total Contract Amount.

Accountability 52

Accountability CRM APIs Benchmark 52

Amity

SEPTEMBER 14, 2017

Account Views. For each view, filter your accounts and keep it concise by selecting which columns to display. New categories are available to organize your views: As always, the default view “All Accounts” is accessible by everyone on your team, at first glance. Account Roles. Account Manager. &

Accountability 51

Accountability APIs Engineering CRM 51

Help Scout

MAY 12, 2021

For a subscription business, this is a clear and simple metric. When a frustrated customer demands a refund, wants to close their account, or expresses disappointment with a product, a great customer service rep can often turn it around with a helpful answer, effective listening, and thoughtful questions. Report on “saved customers”.

Customer retention 115

Customer retention Finance Analytics Customer effort 115

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. NVIDIA provides detailed documentation describing how to generate the TensorRT engine.

Engineering 79

Engineering Accountability APIs Metrics 79