Accountability, APIs, Big data and Industry

Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts

AWS Machine Learning

AUGUST 29, 2022

On August 9, 2022, we announced the general availability of cross-account sharing of Amazon SageMaker Pipelines entities. You can now use cross-account support for Amazon SageMaker Pipelines to share pipeline entities across AWS accounts and access shared pipelines directly through Amazon SageMaker API calls.

Accountability

Accountability APIs Management Engineering

Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

OCTOBER 30, 2023

It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. Customers are building innovative generative AI applications using Amazon Bedrock APIs using their own proprietary data.

APIs

APIs Big data Accountability Enterprise

Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

NOVEMBER 3, 2022

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We highlight on how extracted structured data from IDP can help against fraudulent claims using AWS Analytics services. Part 2: Data enrichment and insights.

Analytics

Analytics APIs Healthcare Big data

Webinars

Manual Call Reviews? Theres a Better Way!

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Identify objections in customer conversations using Amazon Comprehend to enhance customer experience without ML expertise

AWS Machine Learning

APRIL 24, 2023

In the global retail industry, pre- and post-sales support are both important aspects of customer care. We’re grateful for the support provided by the AWS account team, solution architecture team, and ML experts from the SSO and service team.” – LC Lee, founder and CEO of Pro360. API Gateway bypasses the request to Lambda.

APIs

APIs Customer Experience Feedback Chatbots

Reduce food waste to improve sustainability and financial results in retail with Amazon Forecast

AWS Machine Learning

OCTOBER 27, 2022

They also established data processing and forecasting pipelines, which can scale to thousands of stores and product categories, and developed a scalable reference architecture to be used for future extensions. To implement demand forecasting that enhances sustainability, we also considered industry-specific properties: Short lead times.

APIs

APIs Best practices Metrics Government

Speed ML development using SageMaker Feature Store and Apache Iceberg offline store compaction

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. SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Table formats provide a way to abstract data files as a table. You can also use the FeatureGroup().put_record

Scripts

Scripts Engineering APIs Big data

Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

AUGUST 15, 2022

Across multiple industries, customers need to process millions of documents per year in the course of their business. More specifically, we need to identify the customer’s savings and checking account numbers in the bank statement. We can extract these key business terms using Amazon Comprehend custom entity recognition.

Banking

Banking APIs Accountability Analytics

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

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

Best practices Government Engineering Accountability

Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

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. This solution can also be customized and scaled to meet the needs of different applications and industries. However, we can use CDE for a wider range of use cases.

Enterprise

Enterprise Healthcare APIs Big data

How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

JULY 24, 2023

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. In this section, we show how to build your own container, deploy your own GPT-2 model, and test with the SageMaker endpoint API. implement the model and the inference API. gpt2 and predictor.py

APIs

APIs Engineering Construction Benchmark

Build and train computer vision models to detect car positions in images using Amazon SageMaker and Amazon Rekognition

AWS Machine Learning

AUGUST 3, 2023

Finally, we show how you can integrate this car pose detection solution into your existing web application using services like Amazon API Gateway and AWS Amplify. For each option, we host an AWS Lambda function behind an API Gateway that is exposed to our mock application. Aamna Najmi is a Data Scientist with AWS Professional Services.

APIs

APIs Scripts Engineering Technical Support

UCcaS,CCaaS,CPaaS – Everything You Need to Know

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. Who all can use cloud computing?

APIs

APIs Interactive Voice Response Contact Center voip

Securing MLflow in AWS: Fine-grained access control with AWS native services

AWS Machine Learning

MAY 8, 2023

This can be a challenge for enterprises in regulated industries that need to keep strong model governance for audit purposes. How to expose the MLflow server via private integrations to an API Gateway, and implement a secure access control for programmatic access via the SDK and browser access via the MLflow UI.

APIs

APIs Government Accountability Scripts

Access Snowflake data using OAuth-based authentication in Amazon SageMaker Data Wrangler

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

APIs Engineering Analytics Scripts

CREATING CREDIT UNION MEMBERS FOR LIFE

Enghouse Interactive

JULY 10, 2018

Focusing on profit margins isn’t what drives this industry but an all-inclusive “what’s best for the members” approach. Making significant changes to an account. For Partner Colorado, Enghouse’s use of open APIs allows integration with the in-house CRM. Inquiring about fraud or unfamiliar charges. #3.

Self service

Self service CRM Contact Center Analytics

Halo Smart Labs Develops a Smarter Smoke Alarm: IoT at It’s Best

Natalie Petouhof

MAY 25, 2016

Market-leading and early adopter organizations must account for how IoT initiatives deliver a customer- centric experience. There are so many different industries it is touching – some smoke alarms, to manufacturing, to retail… It’s very exciting to see what companies will come up with next!

Customer centricity

Customer centricity Technology Customer Experience Big data

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

AWS Machine Learning

AUGUST 29, 2023

This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).

Scripts

Scripts APIs Enterprise Accountability

MLOps foundation roadmap for enterprises with Amazon SageMaker

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

Enterprise Engineering Accountability APIs

Run image segmentation with Amazon SageMaker JumpStart

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

APIs Scripts Enterprise Big data

Improve governance of your machine learning models with Amazon SageMaker

AWS Machine Learning

DECEMBER 1, 2022

This issue is intensified in highly regulated industries because you’re subject to regulations that require you to keep such measures in place. The Model dashboard is a centralized repository of all models that have been created in the account. SageMaker Model Dashboard. The following screenshot shows an example of the Model dashboard.

Government

Government Metrics APIs Engineering

Use streaming ingestion with Amazon SageMaker Feature Store and Amazon MSK to make ML-backed decisions in near-real time

AWS Machine Learning

APRIL 19, 2023

This example notebook demonstrates the pattern of using Feature Store as a central repository from which data scientists can extract training datasets. In addition to creating a training dataset, we use the PutRecord API to put the 1-week feature aggregations into the online feature store nightly. Nov-01,22:01:00 1 74.99 …9843 99.50

Engineering

Engineering Analytics APIs Enterprise

How SaaS Software Can Help Sync Your Sales & Support Teams

aircall

APRIL 16, 2021

Virtually any company in any industry can tap into the advantages of cloud computing. 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. It doesn’t discriminate! Email platforms.

SaaS

SaaS Sales Coaching APIs

Exploring The Restaurant of Tomorrow at FSTEC

Interactions

SEPTEMBER 19, 2019

In 2013, Aloha (NCR) and MICROS (Oracle) accounted for about 43% of the restaurant POS market; by 2017, that number was down to about 30% and continues to fall. A big point of discussion during breakout sessions and over drinks (yes, really!) was the concept of standardized APIs across multiple technologies.

APIs

APIs Big data Engineering Sales

Organize your machine learning journey with Amazon SageMaker Experiments and Amazon SageMaker Pipelines

AWS Machine Learning

JULY 21, 2022

Compare and evaluate experiments – The integration of Experiments with Amazon SageMaker Studio makes it easy to produce data visualizations and compare different trials. You can also access the trial data via the Python SDK to generate your own visualization using your preferred plotting libraries. Suggested readings.

Metrics

Metrics Scripts Enterprise Telecommunications

Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

AWS Machine Learning

SEPTEMBER 9, 2022

Access to AWS services from Katib and from pipeline pods using the AWS IAM Roles for Service Accounts (IRSA) integration with Kubeflow Profiles. Prior to our adoption of Kubeflow on AWS, our data scientists used a standardized set of tools and a process that allowed flexibility in the technology and workflow used to train a given model.

Engineering

Engineering Healthcare APIs Scripts

10 Best Practices to Develop Your Digital Transformation Framework

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. Software integrations assist on both accounts. Accountability framework. World Economic Forum Whitepaper Digital Transformation of Industries.

Best practices

Best practices Call Center Technology Analytics

Top 20 SaaS Companies in Brazil

SmartKarrot

FEBRUARY 3, 2022

Ambar is a Brazilian SaaS company that offers digital solutions to companies operating in the construction industry. Its main goal is to assist businesses in managing their financial routines and optimizing procedures such as accounting, stock, banking, and electronic invoicing, among other things. Here’s the list for you –.

SaaS

SaaS Real estate Construction Transportation

Run machine learning enablement events at scale using AWS DeepRacer multi-user account mode

AWS Machine Learning

SEPTEMBER 21, 2022

Scaling ML effectively for the long term requires the professionalization of the industry and the democratization of ML literacy across the enterprise. Until recently, organizations hosting private AWS DeepRacer events had to create and assign AWS accounts to every event participant. The solution assumes access to an AWS account.

Accountability

Accountability APIs Enterprise Big data

Customer Contact Central

Use Amazon SageMaker pipeline sharing to view or manage pipelines across AWS accounts