AWS Machine Learning

NOVEMBER 3, 2022

Before you get started, refer to Part 1 for a high-level overview of the insurance use case with IDP and details about the data capture and classification stages. In Part 1, we saw how to use Amazon Textract APIs to extract information like forms and tables from documents, and how to analyze invoices and identity documents.

Analytics 88

Analytics APIs Healthcare Big data 88

AWS Machine Learning

MARCH 22, 2023

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. His knowledge ranges from application architecture to big data, analytics, and machine learning.

APIs 92

APIs Analytics Scripts Engineering 92

AWS Machine Learning

NOVEMBER 7, 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 inference, both via the Studio UI and via JumpStart APIs. JumpStart overview. Solution overview.

APIs 103

APIs Scripts Enterprise Big data 103

Natalie Petouhof

JULY 14, 2015

Tweet Managing your API’s has become a very complicated endeavor. If your role to is manage API’s it’s important to figure out how to automate that process. Today 3scale and Pivotal ® announced that the 3scale self-serve API management solution is available through the Pivotal Web Services (PWS) platform.

APIs 45

APIs Management Analytics Accountability 45

AWS Machine Learning

SEPTEMBER 21, 2022

You can further personalize this page to gather additional user data (such as the user’s DeepRacer AWS profile or their level of AI and ML knowledge) or to add event marketing and training materials. The event portal registration form calls a customer API endpoint that stores email addresses in Amazon DynamoDB through AWS AppSync.

Accountability 71

Accountability APIs Enterprise Management 71

ConvergeOne

DECEMBER 7, 2021

The underlying technologies of composability include some combination of artificial intelligence (AI), machine learning, automation, container-based architecture, big data, analytics, low-code and no-code development, Agile/DevOps deployment, cloud delivery, and applications with open APIs (microservices).

APIs 84

APIs Customer Experience Big data Self service 84

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 124

Scripts APIs Analytics Government 124

AWS Machine Learning

DECEMBER 21, 2022

SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table.

Scripts 86

Scripts APIs Engineering Big data 86

AWS Machine Learning

JULY 29, 2022

The solution also uses SAML attribute mapping to populate the SAML assertion with specific access-relevant data, such as user ID and user team. Because the solution creates a SAML API, you can use any IdP supporting SAML assertions to create this architecture. The API Gateway calls an SAML backend API. Custom SAML 2.0

Management 91

Management APIs Accountability Big data 91

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.

Scripts 90

Scripts APIs Enterprise Big data 90

AWS Machine Learning

SEPTEMBER 9, 2022

It stores history of ML features in the offline store (Amazon S3) and also provides APIs to an online store to allow low-latency reads of most recent features. With purpose-built services, the Amp team was able to release the personalized show recommendation API as described in this post to production in under 3 months. Conclusion.

Personalization 85

Personalization Metrics APIs Analytics 85

AWS Machine Learning

JULY 19, 2022

To test the model output, we use a Jupyter notebook to run Python code to detect custom labels in a supplied image by calling Amazon Rekognition APIs. The solution workflow is as follows: Store satellite imagery data in Amazon S3 as the input source. Store satellite imagery data in Amazon S3 as an input source.

APIs 82

APIs Metrics Enterprise Marketing 82

AWS Machine Learning

OCTOBER 27, 2022

We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket. We use the AutoPredictor API, which is also accessible through the Forecast console. When those datasets are ready, we can start to train the predictor. Ray Wang is a Solutions Architect at AWS.

APIs 98

APIs Metrics Best practices Management 98

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

Analytics 90

Analytics APIs Engineering Enterprise 90

Avaya

NOVEMBER 16, 2016

Open APIs: An open API model is advantageous in that it allows developers outside of companies to easily access and use APIs to create breakthrough innovations. At the same time, however, publicly available APIs are also exposed ones. billion GB of data were being produced every day in 2012 alone!)

APIs 72

APIs Enterprise Big data Best practices 72

JivoChat

JANUARY 31, 2023

The Data Analyst Course With the Data Analyst Course, you will be able to become a professional in this area, developing all the necessary skills to succeed in your career. The course also teaches beginner and advanced Python, basics and advanced NumPy and Pandas, and data visualization.

Analytics 75

Analytics Scripts APIs Big data 75

AWS Machine Learning

SEPTEMBER 9, 2022

When the message is received by the SQS queue, it triggers the AWS Lambda function to make an API call to the Amp catalog service. The Lambda function retrieves the desired show metadata, filters the metadata, and then sends the output metadata to Amazon Kinesis Data Streams. Data Engineer for Amp on Amazon.

Analytics 81

Analytics Metrics APIs Engineering 81

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.

Contact Center 52

Contact Center APIs voip Customer Experience 52

Spearline

JANUARY 23, 2018

An API (Application Programming Interface) will enhance your utilisation of our platform. Our RESTful API provides your developers with the ability to create campaigns, add numbers, time groups, export data for every test run, every day, every hour, every minute if that’s what you need to put your arms around your business.

Benchmark 40

Benchmark Call flow APIs Big data 40

DMG Consulting

MAY 26, 2020

The greatest areas of investment in service organizations and contact centers are in AI, robotic process automation (RPA), big data and digital-oriented applications, all of which are delivered via the cloud. The idea is to make systems interoperable through easy-to-use application programming interfaces (APIs).

Contact Center 96

Contact Center Analytics Sales Enterprise 96

AWS Machine Learning

JULY 29, 2022

Amazon SageMaker is a fully managed service that provides developers and data scientists the ability to build, train, and deploy machine learning (ML) models quickly. The SageMaker Python SDK provides open-source APIs and containers to train and deploy models on SageMaker, using several different ML and deep learning frameworks.

Scripts 100

Scripts APIs Big data Management 100

AWS Machine Learning

AUGUST 15, 2022

Document is a wrapper function used to help parse the JSON response from the API. It provides a high-level abstraction and makes the API output iterable and easy to get information out of. Anjan works with enterprise customers and is passionate about developing, deploying and explaining AI/ML, data analytics, and big data solutions.

Banking 87

Banking APIs Accountability Analytics 87

TechSee

JULY 20, 2022

Furthermore, businesses can now build their own applications powered by VI’s customized computer vision insights using real-time APIs. SaaS-based insights are embedded into TechSee’s service platform, and accessible for use in third party applications with only an API integration. cial intelligence and big data.

Self service 21

Self service APIs Customer centricity Customer Service 21

AWS Machine Learning

DECEMBER 1, 2022

Organizations can dive deep to identify which models have missing or inactive monitors and add them using SageMaker APIs to ensure all models are being checked for data drift, model drift, bias drift, and feature attribution drift. The following screenshot shows an example of the Model dashboard.

Government 96

Government Metrics APIs Enterprise 96

Stratifyd

JANUARY 3, 2019

Maintain and develop Stratifyd’s API layer and/or analytics pipeline. Professional experience working with systems designed to deliver and operate on streaming data in near-real-time, or personal projects related to the same. and Python/C API. Experience and/or knowledge of AI, Big Data, Tech. Master’s degree.

Engineering 40

Engineering APIs Analytics Big data 40

AWS Machine Learning

JULY 25, 2022

For production, we wanted to invoke the model as a simple API call. We found that we didn’t need to separate data preparation, model training, and prediction, and it was convenient to package the whole pipeline as a single script and use SageMaker processing. Packaging the solution as a scalable workflow.

Scripts 87

Scripts Analytics Marketing Technology 87

AWS Machine Learning

JUNE 24, 2022

This might be a triggering mechanism via Amazon EventBridge , Amazon API Gateway , AWS Lambda functions, or SageMaker Pipelines. In addition to the model endpoint, the CI/CD also tests the triggering infrastructure, such as EventBridge, Lambda functions, or API Gateway. Data lake and MLOps integration.

Enterprise 119

Enterprise Accountability Engineering APIs 119

DMG Consulting

DECEMBER 10, 2018

The “platform as a service” paradigm, which essentially leverages application programming interfaces (APIs) to build out functional capabilities, makes it easier to build your own solution (BYOS). It’s undeniable that contact center platform vendors are having a highly positive disruptive impact on the pace of innovation in the CBCCI sector.

Contact Center 75

Contact Center contact center solutions CRM Enterprise 75

AWS Machine Learning

JULY 19, 2022

We set the OutputFormat to mp3 , which tells Amazon Polly to generate an audio stream for this API call. We again use the start_speech_synthesis_task method but specify OutputFormat to json , which tells Amazon Polly to generate speech marks for this API call. He is passionate about machine learning and natural language processing.

APIs 95

APIs Engineering Best practices Accountability 95

AWS Machine Learning

JUNE 15, 2022

Edge is a term that refers to a location, far from the cloud or a big data center, where you have a computer device (edge device) capable of running (edge) applications. How do I eliminate the need of installing a big framework like TensorFlow or PyTorch on my restricted device? Edge computing.

Management 89

Management APIs Big data Transportation 89

AWS Machine Learning

SEPTEMBER 9, 2022

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. This means that user access can be controlled on the Kubeflow UI but not over the Kubernetes API via Kubectl.

Engineering 88

Engineering Scripts Healthcare Analytics 88

Interactions

SEPTEMBER 19, 2019

A big point of discussion during breakout sessions and over drinks (yes, really!) was the concept of standardized APIs across multiple technologies. The same logic that is a boon for the guest in terms of meal choices creates a vicious cycle for the operator and locks them into high fees and increased competition.

APIs 70

APIs Big data Sales Technology 70

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. It doesn’t discriminate! Email platforms. Disaster recovery. Virtual desktops. Software development. Customer-facing web applications.

SaaS 62

SaaS Sales Coaching Metrics 62

AWS Machine Learning

MAY 3, 2023

Furthermore, SageMaker Processing provides an API interface for running, monitoring, and evaluating the workload. He has extensive experience in Big Data Analytics, Distributed Computing, and Natural Language Processing. Sharmo Sarkar is a Senior Manager at Vericast.

Engineering 94

Engineering Metrics Management Marketing 94

Quadient

JULY 21, 2022

Os líderes digitais coletam dados e obtêm informações valiosas com a ajuda de modelos de dados padrão, Inteligência Artificial (IA) e análise de big data. Empresas do nível 5 frequentemente constroem seus próprios ecossistemas de aplicativos, conectando microsserviços baseados em API, provisionados através de modelos de nuvens puras.

Chatbots 52

Chatbots Call Center APIs SaaS 52

Xaqt

FEBRUARY 6, 2020

Back then, Artificial Intelligence, APIs, Robotic Process Automation (RPA), and even "Big Data" weren't things yet. Cisco acquired the company in 2007 before we fully delivered on the vision, but recent developments in the market make now the perfect time to implement. Rewind it Back Let's take a look back to 2005 when "Web 2.0"

Contact Center 52

Contact Center Call Center Service level Enterprise 52

Talkdesk

JANUARY 16, 2018

With technological advancements in speech recognition, artificial intelligence and big data, the spoken words in those calls can now be used to elicit actionable insights from spoken information. Predicting customer behavior based on spoken interactions provides contact centers with a powerful tool to drive greater business results.

Analytics 40

Analytics Call Center Customer centricity Customer Service 40