AWS Machine Learning

NOVEMBER 6, 2023

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. In this post, we show how Custom Queries can accurately extract data from checks that are complex, non-standard documents. Adapters can be created via the console or programmatically via the API.

APIs 102

APIs Best practices Banking Accountability 102

CSM Magazine

APRIL 29, 2024

With the vast amount of data generated on social media platforms every second, harnessing this information effectively can be challenging. Through the use of advanced data collection techniques and APIs, BI platforms continuously gather data from various social media channels such as Twitter, Facebook, Instagram, LinkedIn, and more.

Analytics 52

Analytics Metrics CRM APIs 52

AWS Machine Learning

APRIL 4, 2024

Recommenders must quickly learn preferences from limited data to provide value. The interactions dataset contains data on user-item-timestamp interactions, and the items dataset contains features on the recommended articles. In this solution, you can also ingest certain items and interactions data attributes into Amazon DynamoDB.

Personalization 82

Personalization APIs Engineering Metrics 82

AWS Machine Learning

OCTOBER 18, 2023

The solution focuses on the fundamental principles of developing an AI/ML application workflow of data preparation, model training, model evaluation, and model monitoring. Additionally, it often requires thousands or tens of thousands of hand-labeled images to provide the model with enough data to accurately make decisions.

APIs 96

APIs Metrics Consulting Consulting 96

AWS Machine Learning

SEPTEMBER 9, 2022

Affinities are computed either implicitly from the user’s behavioral data or explicitly from topics of interest (such as pop music, baseball, or politics) as provided in their user profiles. This is Part 2 of a series on using data analytics and ML for Amp and creating a personalized show recommendation list platform.

Personalization 73

Personalization APIs Engineering Metrics 73

AWS Machine Learning

MARCH 22, 2023

Additionally, it often requires thousands or tens of thousands of hand-labeled images to provide the model with enough data to accurately make decisions. Generating this data can take months to gather and require large teams of labelers to prepare it for use in machine learning (ML). This could take from minutes to hours to complete.

APIs 81

APIs Metrics Engineering Feedback 81

AWS Machine Learning

FEBRUARY 16, 2023

Enterprises across the globe are looking to utilize multiple data sources to implement a unified search experience for their employees and end customers. Additionally, these unique data sources comprise structured and unstructured content repositories—including various file types—which may cause compatibility issues. As a data source.

Enterprise 70

Enterprise APIs Engineering Best practices 70

ChurnZero

JUNE 8, 2022

The most important ones run departments, determine workflows, and generate the important data that makes a business go. I am certain that we run ChurnZero’s business using data from no less than two dozen SaaS products: Customer Success platform, CRM, marketing automation, support, finance, HR and more. When things happen, you know.

Finance 52

Finance SaaS CRM APIs 52

AWS Machine Learning

FEBRUARY 7, 2024

The steps to deploy this component are as follows: Upload historical data to Amazon Simple Storage Service (Amazon S3). Deploy the API to make predictions. Collect the historical fraud data to be used to train the fraud detector model, with the following requirements: Data must be in CSV format and have headers.

APIs 109

APIs Accountability Metrics Engineering 109

Whitepages Pro

APRIL 24, 2019

Our latest product innovation, Transaction Risk API , was specifically built for easy integration into sophisticated machine learning (ML) models and is designed to help eCommerce merchants, marketplaces, payment processors, and others manage payment fraud. Transaction Risk API delivers a response within 100 ms to meet this need.

APIs 40

APIs Marketing Engineering Metrics 40

AWS Machine Learning

APRIL 29, 2024

In recent years, large language models (LLMs) have gained attention for their effectiveness, leading various industries to adapt general LLMs to their data for improved results, making efficient training and hardware availability crucial. This is a guest post by Mark McQuade, Malikeh Ehghaghi, and Shamane Siri from Arcee. Why Trainium?

APIs 92

APIs Healthcare Scripts Enterprise 92

CSM Magazine

APRIL 26, 2024

Simplify Data Integration To minimize the time devoted to optimizing LMS reporting efficiency , it is crucial to simplify the process of collecting and integrating data into your system. This eliminates data entry and decreases the likelihood of errors. Utilize user-friendly and intuitive data visualization.

APIs 52

APIs Analytics Metrics Education 52

AWS Machine Learning

NOVEMBER 22, 2023

Consider revisiting the logging design of the telemetry data and adding infrastructure as code (IaC), such as document processing pipelines, to the solution. Rather than requiring your data science and IT teams to build and maintain AI models, you can use pre-trained AI services that can automate tasks for you.

APIs 94

APIs Metrics Enterprise Benchmark 94

ChurnZero

JUNE 8, 2022

It’s about how you and your Customer Success platform share the data your company needs. Customer data makes your whole business tick, not just your CS team. Finance needs the data to forecast renewals. Can your CS platform give them the right data, right now, or will they just get a login? When things happen, you know.

Finance 52

Finance SaaS APIs Customer centricity 52

Expivia

FEBRUARY 15, 2024

This tool does more than analyze data; it translates information into actionable strategies, enabling businesses to enhance customer satisfaction and operational efficiency in ways previously unimaginable. No more looking at dashboards, you prompt it and see the data you want to see.

Virtual Agent 75

Virtual Agent APIs Analytics Chatbots 75

ChurnZero

MARCH 18, 2022

With so many SaaS metrics floating around, and even more opinions on when and how to use them, it can be hard to know if you’re measuring what really matters. Leading SaaS expert, Dave Kellogg, and ChurnZero CEO, You Mon Tsang, sat down to answer all the questions you want to know about SaaS metrics like ARR, NRR, GRR, LTV, and CAC (i.e.,

SaaS 98

SaaS Metrics Enterprise Surveys 98

AWS Machine Learning

MAY 5, 2023

By uploading a small set of training images, Amazon Rekognition automatically loads and inspects the training data, selects the right ML algorithms, trains a model, and provides model performance metrics. Lastly, we cover the data ingestion by an intelligent search service, powered by ML.

Engineering 101

Engineering APIs Scripts Enterprise 101

CustomerSuccessBox

APRIL 19, 2021

7 Data points that will help you win over churn. Customer behavior analytics is becoming increasingly an important metric across all industries to understand, engage and retain customers. The telemetry data lets you know how your customers are interacting with your product, which features they are using and at what frequency.

Customer retention 52

Customer retention SaaS APIs Metrics 52

AWS Machine Learning

NOVEMBER 17, 2022

Their production segment is therefore an integral building block for delivering on their mission—with a clearly stated ambition to become world-leading on metrics such as safety, environmental footprint, quality, and production costs. ELC uses Internet of Things (IoT) sensors data from a plant. Overview of solution.

APIs 93

APIs Accountability Metrics Engineering 93

AWS Machine Learning

APRIL 18, 2024

The audio is streamed to Amazon Transcribe, and the transcription results are written in real time to Kinesis Data Streams. A Lambda function called the Call Event Processor, fed by Kinesis Data Streams, processes and optionally enriches meeting metadata and transcription segments. Choose the Monitor tab to see function metrics.

APIs 110

APIs Accountability Analytics Entertainment 110

AWS Machine Learning

MARCH 1, 2023

In order to do so, customers have to retrain their existing entity extraction models with new training data that includes COVID. Custom Comprehend users need to manually monitor model performance to assess drifts, maintain data to retrain models, and select the right models that improve performance.

APIs 69

APIs Metrics Accountability Scripts 69

Nicereply

JUNE 11, 2020

Finding real-life strategies to weave your metrics into your day-to-day life at work is the best thing you can do to keep your company healthy and keep your team members engaged. With so many amazing tools out there, it’s easy to get your hands on tons of customer experience data. Segment your customers more effectively.

Customer Experience 69

Customer Experience Customer centricity Metrics Surveys 69

AWS Machine Learning

NOVEMBER 22, 2023

Starting from the introduction of the Security Pillar and design principles, we then examine the solution design and implementation with four focus areas: access control, data protection, key and secret management, and workload configuration. Pay attention to protection of data at rest and data produced in IDP outputs.

APIs 84

APIs Accountability Enterprise Transportation 84

AWS Machine Learning

APRIL 17, 2023

Furthermore, humans are also error-prone and have limited capacity to process large amounts of data, making manual efforts to detect fraud time-consuming, which can result in missed fraudulent transactions, increased losses, and reputational damage. The following table defines these metrics. For Cold Start models, this is no different.

APIs 72

APIs Government Metrics Engineering 72

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. Collecting and preparing finance data Domain continual pre-training necessities a large-scale, high-quality, domain-specific dataset.

Finance 98

Finance Metrics Banking Engineering 98

AWS Machine Learning

AUGUST 30, 2023

Generative AI is powered by machine learning (ML) models—very large models that are pre-trained on vast amounts of data and commonly referred to as foundation models (FMs). Fine-tuning a pre-trained model involves further training on specific data to improve performance on a different but related task. It ignores newlines in the text.

Healthcare 113

Healthcare APIs Metrics Scripts 113

AWS Machine Learning

OCTOBER 10, 2022

Therefore, preventing mobile fraud starts from clearly understanding the risk profile of the devices used to access the mobile app and then using the device risk intelligence gathered, together with additional data about the user, event, or account, to detect potential fraudulent behavior in real time and at scale. Solution overview.

APIs 70

APIs Accountability Metrics Government 70

Spearline

JULY 21, 2022

Consequently, no other testing solution can provide the range and depth of testing metrics and analytics. And testingRTC offers multiple ways to export these metrics, from direct collection from webhooks, to downloading results in CSV format using the REST API. And all of this data can be broken down further by probe (browser).

Scripts 98

Scripts APIs Metrics Analytics 98

AWS Machine Learning

OCTOBER 24, 2023

T-Mobile has partnered with AWS to analyze the key application metrics of this service, such as language distribution, the number of messages per language, the daily total and unique active customers, and so on. This data helped in scaling the service and making key business decisions to improve the Voicemail to Text customer experience.

APIs 91

APIs Engineering Metrics Technology 91

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. You can use the API operations discussed in this notebook in your own applications.

APIs 76

APIs Accountability Enterprise Metrics 76

Nicereply

JANUARY 30, 2023

This can include anything from knowing how many people you need to hire and knowing exactly what metrics you need to hit, to determining if there are new tools that you’ll need to use in order to a ccomplish your goals. If so, what are some levers you might be able to pull to shift that metric, too?

Metrics 98

Metrics Finance APIs Customer Support 98

AWS Machine Learning

OCTOBER 27, 2022

With Amazon Forecast , and support from the AWS ProServe team and AWS Machine Learning Solutions Lab , our customer—with limited internal data scientists—now has state-of-the-art forecasting capabilities. To train a predictor, training data is ingested into data storage from a data source, using one of the formats supported by Forecast.

APIs 97

APIs Best practices Metrics Government 97

AWS Machine Learning

NOVEMBER 3, 2022

We also look into how to further use the extracted structured information from claims data to get insights using AWS Analytics and visualization services. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Part 2: Data enrichment and insights. Prerequisites.

Analytics 76

Analytics APIs Healthcare Big data 76

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 79

APIs Metrics Management Engineering 79

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 96

Healthcare APIs Enterprise Engineering 96

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

NOVEMBER 1, 2022

Amazon SageMaker Autopilot automatically builds, trains, and tunes the best custom machine learning (ML) models based on your data. Amazon SageMaker Pipelines helps you automate the different steps of the ML lifecycle, including data preprocessing, training, tuning and evaluating ML models, and deploying them. mkdir data !wget

Scripts 78

Scripts APIs Metrics Engineering 78