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

DECEMBER 21, 2022

As feature data grows in size and complexity, data scientists need to be able to efficiently query these feature stores to extract datasets for experimentation, model training, and batch scoring. SageMaker Feature Store consists of an online and an offline mode for managing features.

Scripts 73

Scripts Engineering APIs Big data 73

AWS Machine Learning

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

Best practices 125

Best practices Government Engineering Accountability 125

AWS Machine Learning

OCTOBER 27, 2022

They faced two challenges: how to reduce food waste, and how to manage forecast models for over 10,000 SKUs and thousands of stores efficiently and at scale. Advanced inventory forecasting using machine learning (ML) allows retail stores to maximize sales and minimize waste through more effective inventory management and turnover.

APIs 97

APIs Best practices Metrics Government 97

AWS Machine Learning

NOVEMBER 3, 2022

AWS Glue is a part of the AWS Analytics services stack, and is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Prerequisites.

Analytics 75

Analytics APIs Healthcare Big data 75

AWS Machine Learning

MARCH 23, 2023

Applications and services can call the deployed endpoint directly or through a deployed serverless Amazon API Gateway architecture. To learn more about real-time endpoint architectural best practices, refer to Creating a machine learning-powered REST API with Amazon API Gateway mapping templates and Amazon SageMaker.

Scripts 97

Scripts APIs Government Analytics 97

AWS Machine Learning

NOVEMBER 27, 2023

However, these models require massive amounts of clean, structured training data to reach their full potential. Most real-world data exists in unstructured formats like PDFs, which requires preprocessing before it can be used effectively. According to IDC , unstructured data accounts for over 80% of all business data today.

Engineering 76

Engineering APIs Big data Accountability 76

AWS Machine Learning

AUGUST 15, 2022

Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers whether it runs on AWS or not. More specifically, we need to identify the customer’s savings and checking account numbers in the bank statement.

Banking 74

Banking APIs Accountability Analytics 74

Hodusoft

AUGUST 30, 2022

Businesses of every size, type, and industry can benefit from using cloud services for a variety of reasons such as: Data backup Software development and testing Email Disaster recovery Virtual desktops Big data analytics Customer-facing web applications, and more. The most popular cloud-based services: UCaaS, CCaas, and CPaaS.

APIs 52

APIs Interactive Voice Response Contact Center voip 52

AWS Machine Learning

JULY 24, 2023

Patsnap provides a global one-stop platform for patent search, analysis, and management. They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. implement the model and the inference API. get_caller_identity()['Account'] region = boto3.Session().region_name

APIs 67

APIs Engineering Construction Benchmark 67

AWS Machine Learning

AUGUST 3, 2023

Amazon Rekognition is a fully managed service that can perform CV tasks like object detection, video segment detection, content moderation, and more to extract insights from data without the need of any prior ML experience. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application.

APIs 63

APIs Scripts Engineering Technical Support 63

AWS Machine Learning

AUGUST 2, 2023

We demonstrate CDE using simple examples and provide a step-by-step guide for you to experience CDE in an Amazon Kendra index in your own AWS account. Marketing – Another use case of image search is digital asset management. After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK.

Enterprise 71

Enterprise Healthcare APIs Big data 71

AWS Machine Learning

OCTOBER 4, 2022

After the pipeline has been fully tested locally, you can easily rerun it with Amazon SageMaker managed resources with just a few lines of code changes. One of the main drivers for new innovations and applications in ML is the availability and amount of data along with cheaper compute options. Overview of the ML lifecycle.

Scripts 72

Scripts Engineering Management APIs 72

AWS Machine Learning

MAY 3, 2023

This post is focused around the third point in this list and shows how to achieve dynamic scaling of SageMaker Processing jobs to achieve a more managed, performant, and cost-effective data processing framework for large data volumes. Sharmo Sarkar is a Senior Manager at Vericast.

Engineering 71

Engineering Metrics APIs Big data 71

AWS Machine Learning

SEPTEMBER 6, 2023

With Amazon Kendra, you can easily aggregate content from a variety of content repositories into an index that lets you quickly search all your enterprise data and find the most accurate answer. Adobe Experience Manager (AEM) is a content management system that’s used for creating website or mobile app content. and above).

Management 99

Management Enterprise Analytics Finance 99

AWS Machine Learning

MAY 8, 2023

With Amazon SageMaker , you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. How to use MLflow as a centralized repository in a multi-account setup.

APIs 71

APIs Government Accountability Scripts 71

AWS Machine Learning

MARCH 22, 2023

An AWS account with permissions to create AWS Identity and Access Management (IAM) policies and roles. Access and permissions to configure IDP to register Data Wrangler application and set up the authorization server or API. For data scientist: An S3 bucket that Data Wrangler can use to output transformed data.

APIs 80

APIs Engineering Analytics Scripts 80

AWS Machine Learning

FEBRUARY 1, 2024

Ingesting from these sources is different from the typical data sources like log data in an Amazon Simple Storage Service (Amazon S3) bucket or structured data from a relational database. In the low-latency case, you need to account for the time it takes to generate the embedding vectors.

Best practices 115

Best practices Engineering SaaS APIs 115

AWS Machine Learning

DECEMBER 1, 2022

They have a wide variety of personas to account for, each with their own unique sets of needs, and building the right sets of permissions policies to meet those needs can sometimes be an inhibitor to agility. They’re permitted to process Amazon Simple Storage Service (Amazon S3) data, perform experiments, and produce models.

Management 73

Management Government Enterprise APIs 73

AWS Machine Learning

JULY 29, 2022

Each onboarded user in Studio has their own dedicated set of resources, such as compute instances, a home directory on an Amazon Elastic File System (Amazon EFS) volume, and a dedicated AWS Identity and Access Management (IAM) execution role. It’s aligned with the AWS recommended practice of using temporary credentials to access AWS accounts.

Management 73

Management APIs Accountability Construction 73

Enghouse Interactive

JULY 10, 2018

Making significant changes to an account. By selecting Enghouse Interactive Communications Center (CC) and Quality Management Suite (QMS), Partner Colorado Credit Union found a solution that was intuitive, highly functional, reliable and that provided visibility into each touchpoint of the member experience.

Self service 40

Self service CRM Contact Center Analytics 40

AWS Machine Learning

JUNE 19, 2023

For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment. If you are using self-managed AD, you may use AD Connector. When an AD user is created in your corporate AD, a corresponding SSO user is created in IAM Identity Center.

APIs 71

APIs Accountability Construction Enterprise 71

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 94

Government Accountability Enterprise Engineering 94

AWS Machine Learning

AUGUST 29, 2023

The presented MLOps workflow provides a reusable template for managing the ML lifecycle through automation, monitoring, auditability, and scalability, thereby reducing the complexities and costs of maintaining batch inference workloads in production. The central model registry could optionally be placed in a shared services account as well.

Scripts 73

Scripts APIs Enterprise Accountability 73

AWS Machine Learning

JUNE 24, 2022

After the data scientists have proven that ML can solve the business problem and are familiarized with SageMaker experimentation, training, and deployment of models, the next step is to start productionizing the ML solution. In the same account, Amazon SageMaker Feature Store can be hosted, but we don’t cover it this post.

Enterprise 92

Enterprise Engineering Accountability APIs 92

AWS Machine Learning

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. Depending on your governance requirements, Data Science & Dev accounts can be merged into a single AWS account.

Government 52

Government Accountability Enterprise Engineering 52

AWS Machine Learning

AUGUST 26, 2022

We explore two ways of obtaining the same result: via JumpStart’s graphical interface on Amazon SageMaker Studio , and programmatically through JumpStart APIs. The following sections provide a step-by-step demo to perform semantic segmentation with JumpStart, both via the Studio UI and via JumpStart APIs. Solution overview.

APIs 78

APIs Scripts Enterprise Big data 78

AWS Machine Learning

APRIL 19, 2023

As a result, some enterprises have spent millions of dollars inventing their own proprietary infrastructure for feature management. Apache Flink is a popular framework and engine for processing data streams. Creating the Apache Flink application using Flink’s SQL API is straightforward. Nov-01,22:01:00 1 74.99 …9843 99.50

Engineering 77

Engineering Analytics APIs Enterprise 77

AWS Machine Learning

DECEMBER 1, 2022

A well-implemented model governance framework should minimize the number of interfaces required to view, track, and manage lifecycle tasks to make it easier to monitor the ML lifecycle at scale. Upload and share model and data evaluation results. Access the Model card hub from the AWS Management Console.

Government 78

Government Metrics APIs Engineering 78

AWS Machine Learning

SEPTEMBER 9, 2022

Its electronic health records, revenue cycle management, and patient engagement tools allow anytime, anywhere access, driving better financial outcomes for its customers and enabling its provider customers to deliver better quality care. Amazon CloudWatch for persistent log management.

Engineering 75

Engineering Healthcare APIs Scripts 75

aircall

APRIL 16, 2021

SaaS works well for a variety of general use cases, including: Data backup. Big data analytics. Flexibility – SaaS uses an open API (application programming interface) technology. Block out specific times for prospecting, preparing, managing emails, and closing deals. It doesn’t discriminate! Email platforms.

SaaS 62

SaaS Sales Coaching APIs 62

aircall

MAY 24, 2021

In today’s marketplace, it’s hard to survive without the cloud, big data, APIs, IoT, machine learning, artificial intelligence, automation, and mobile technologies. Overall, your digital transformation framework is the place to start whenever your data or new trends motivate you to change your tools or processes.

Best practices 62

Best practices Call Center Technology Analytics 62

AWS Machine Learning

JULY 21, 2022

The Pipelines native integration with Experiments makes it easy to automatically track and manage experiments across pipeline runs. SageMaker Experiments allows data scientists organize, track, compare, and evaluate their training iterations. Amazon SageMaker now supports cross-account lineage tracking and multi-hop lineage querying.

Metrics 78

Metrics Scripts Enterprise Telecommunications 78

Stratifyd

JANUARY 3, 2019

We are seeking an analytical, results-driven individual with a passion for developing applications and improving existing ones who knows how to get things done and is not afraid to take on big challenges. Key accountabilities & responsibilities. Maintain and develop Stratifyd’s API layer and/or analytics pipeline.

Engineering 40

Engineering APIs Analytics Healthcare 40

SmartKarrot

FEBRUARY 3, 2022

Its product AmbarEva is a cloud-based project management solution. Amber’s AmarLive is an energy management solution. ContaAzul is a Brazilian business management software for small businesses. EBANX features hosted pages, and developer APIs, among other features. Founded in: 2013. CEO: Bruno Balbinot. Founded in: 2012.

SaaS 10

SaaS Real estate Construction Transportation 10

AWS Machine Learning

SEPTEMBER 21, 2022

Until recently, organizations hosting private AWS DeepRacer events had to create and assign AWS accounts to every event participant. This often meant securing and monitoring usage across hundreds or even thousands of AWS accounts. Build a solution around AWS DeepRacer multi-user account management.

Accountability 62

Accountability APIs Enterprise Big data 62