AWS Machine Learning

NOVEMBER 8, 2023

In this era of cloud computing, developers are now harnessing open source libraries and advanced processing power available to them to build out large-scale microservices that need to be operationally efficient, performant, and resilient. Scalability challenges In application development, scalability issues can be caused by unoptimized code.

Analytics 97

Analytics Enterprise Scripts Big data 97

AWS Machine Learning

SEPTEMBER 28, 2022

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). The solution consists of the following steps: Configure an app on Dropbox and get the connection details. Configure a Dropbox app and gather connection details. Go to www.dropbox.com/developers. Choose Next.

Enterprise 80

Enterprise Accountability Management Technology 80

AWS Machine Learning

OCTOBER 1, 2022

Bundesliga and AWS have worked together to compute and illustrate the live development of winning chances throughout matches, enabling fans to see key moments of probability swings. The new Bundesliga Match Fact Win Probability was developed by building ML models that analyzed over 1,000 historical games. How does it work?

Telecommunications 78

Telecommunications Consulting Consulting Big data 78

AWS Machine Learning

DECEMBER 21, 2022

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). The solution consists of the following steps: Create and configure an app on Salesforce and get the connection details. Configure a Salesforce app and gather connection details. Under Apps , choose App Manager.

Enterprise 76

Enterprise Accountability APIs CRM 76

AWS Machine Learning

MAY 23, 2023

Original content production, code generation, customer service enhancement, and document summarization are typical use cases of generative AI. With over 600 pre-trained models available and growing every day, JumpStart enables developers to quickly and easily incorporate cutting-edge ML techniques into their production workflows.

APIs 91

APIs Accountability Construction Management 91

AWS Machine Learning

AUGUST 8, 2023

You can run Spark applications interactively from Amazon SageMaker Studio by connecting SageMaker Studio notebooks and AWS Glue Interactive Sessions to run Spark jobs with a serverless cluster. Solution overview The solution integrates Spark History Server into the Jupyter Server app in SageMaker Studio. Choose Detach.

Scripts 67

Scripts Engineering Big data Management 67

AWS Machine Learning

DECEMBER 21, 2022

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). As data accumulates over time, a lot of critical information is stored in service catalogs, knowledge articles, and incidents including attachments for each entry. Configure a ServiceNow app and gather connection details.

APIs 72

APIs Enterprise Accountability Engineering 72

AWS Machine Learning

DECEMBER 14, 2023

The evolution continued in April 2023 with the introduction of Amazon Bedrock , a fully managed service offering access to cutting-edge foundation models, including Stable Diffusion, through a convenient API. AWS provides a plethora of options and services to facilitate this endeavor. official website Stability.ai

Entertainment 94

Entertainment Construction APIs Engineering 94

AWS Machine Learning

MARCH 30, 2023

All this data is then passed to an ML model (xGBoost), which is deployed on Amazon SageMaker Serverless Inference to generate a prediction on the probability of the shot being saved. This Bundesliga Match Fact was developed among a team of Bundesliga and AWS experts. Tareq Haschemi is a consultant within AWS Professional Services.

Telecommunications 70

Telecommunications Consulting Consulting Big data 70

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. In some cases, a more custom solution might be needed along with the service to solve a very specific problem.

APIs 63

APIs Scripts Engineering Technical Support 63

AWS Machine Learning

NOVEMBER 22, 2022

Companies that sell products or services online need to constantly monitor customer reviews left on their website after purchasing a product. The company’s marketing and customer service departments analyze these reviews to understand customer sentiment. Retail or B2C companies selling various products or services.

APIs 68

APIs CRM Feedback B2C 68

aircall

AUGUST 18, 2022

Our primary programming language is Typescript , as we are embracing AWS serverless (Lambdas, AppSync, DynamoDB) with Node.js for backend development and React for frontends. And, of course, our native Android and iOS apps are written in Kotlin and Swift, respectively. Programming Languages and Frameworks. SaaS Tools.

SaaS 62

SaaS Engineering APIs Management 62

Mindtouch

JULY 23, 2018

The group is highly focused on Serverless Architecture,NET Core, and AWS Lambda. This past Hackathon was about building a web app with AWS API Gateway and Lambda. The topic, Rapid Application Development with.NET Core & AWS Lambda, is of course fascinating—a hot area in cloud software. Lambda # (?#, What is a Hackathon?

APIs 48

APIs Engineering Technology 48

AWS Machine Learning

NOVEMBER 3, 2023

Once the Lambda function is triggered, it stores the data in an Amazon Aurora Serverless database. The development of the Bundesliga Match Facts is the result of extensive analysis conducted by a collaborative team of soccer experts and data scientists from the Bundesliga and AWS.

Metrics 90

Metrics Telecommunications Consulting Consulting 90

AWS Machine Learning

NOVEMBER 7, 2023

These demos can be seamlessly deployed in your AWS account, offering foundational insights and guidance on utilizing AWS services to create a state-of-the-art LLM generative AI question and answer bot and content generation. For this post, you use the AWS Cloud Development Kit (AWS CDK) using Python. Python 3.6 x or later.

Enterprise 94

Enterprise APIs Engineering Accountability 94

AWS Machine Learning

MARCH 30, 2023

How does a team’s ability to quickly regain possession develop over the course of a match? A Lambda function retrieves all recovery times from the relevant Kafka topic and stores them in an Amazon Aurora Serverless database. Tareq Haschemi is a consultant within AWS Professional Services.

Coaching 72

Coaching Telecommunications Consulting Consulting 72

AWS Machine Learning

JUNE 30, 2022

The process includes the following steps: In the Amazon Cognito user pool, first set up a user with the name matching their Studio user profile and register Studio as the app client in the user pool. You can deploy the solution through either the AWS Management Console or the AWS Serverless Application Model (AWS SAM).

APIs 81

APIs Enterprise Big data Accountability 81

AWS Machine Learning

SEPTEMBER 9, 2022

Amp , the new live radio app from Amazon, is a reinvention of radio featuring human-curated live audio shows. Part 1 shows how data was collected and processed using the data and analytics platform, and Part 2 shows how the data was used to create show recommendations using Amazon SageMaker , a fully managed ML service.

Analytics 69

Analytics Engineering APIs Metrics 69

AWS Machine Learning

OCTOBER 10, 2022

In this post, we present a solution that combines rich mobile device intelligence with customized machine learning (ML) modeling to help you catch fraudsters who exploit mobile apps. This result is sent back to your mobile app via API Gateway. Use cases for device intelligence with Amazon Fraud Detector.

APIs 70

APIs Accountability Metrics Government 70

AWS Machine Learning

NOVEMBER 17, 2022

AWS IoT SiteWise is a managed service that can collect, organize, search, and consume equipment data from industrial equipment at scale. It should use serverless services where possible to reduce the infrastructure footprint. SageMaker is a fully-managed service that covers the entire ML workflow.

APIs 92

APIs Accountability Metrics Engineering 92

AWS Machine Learning

FEBRUARY 19, 2024

Modern chatbots can serve as digital agents, providing a new avenue for delivering 24/7 customer service and support across many industries. In this post, we illustrate contextually enhancing a chatbot by using Knowledge Bases for Amazon Bedrock , a fully managed serverless service.

Chatbots 98

Chatbots APIs Engineering Enterprise 98

AWS Machine Learning

APRIL 23, 2024

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 100

APIs Enterprise Scripts Accountability 100

AWS Machine Learning

JUNE 21, 2023

Sign up for a free Salesforce Developer Edition organization, if you don’t have one. The AWS Serverless Application Model Command Line Interface (AWS SAM CLI) , to build and deploy your SAM application. Search for App Manager and choose App Manager. Choose New Connected App. For Connected App Name , enter a name.

Analytics 72

Analytics APIs CRM Contact Center 72

AWS Machine Learning

JUNE 23, 2023

You can use SageMaker Serverless Inference endpoints for workloads that have idle periods between traffic spurts and can tolerate cold starts. It stands out when it comes to developing serverless applications with RESTful microservices and use cases requiring ML inference at scale across multiple industries.

APIs 87

APIs Scripts Engineering Accountability 87

AWS Machine Learning

JANUARY 31, 2024

We use the following services as part of this solution: Knowledge Bases for Amazon Bedrock Amazon OpenSearch Serverless We walk through the following high-level steps: Preprocess the IMDb data to create documents from every movie record and upload the data into an Amazon Simple Storage Service (Amazon S3) bucket. Choose Next.

Chatbots 89

Chatbots Entertainment APIs Advertising 89

AWS Machine Learning

FEBRUARY 14, 2024

We use prompt engineering techniques to develop and optimize the prompts with the data that is stored in a Redshift database to efficiently use the foundation models. This can increase customer satisfaction and also allow human customer service teams to dedicate their expertise to intricate and sensitive customer issues.

Engineering 115

Engineering Chatbots Accountability Enterprise 115

AWS Machine Learning

OCTOBER 2, 2023

Although developing such a pipeline can be challenging, it becomes even more complex when dealing with an edge ML use case. However, using purpose-built services like Amazon SageMaker and AWS IoT Greengrass allows you to significantly reduce this effort. Now it’s time to draft an architecture for our MLOps pipeline.

Engineering 91

Engineering APIs Management Accountability 91

AWS Machine Learning

SEPTEMBER 25, 2023

Its auto scaling feature proved crucial during high-traffic periods, ensuring that our app remained responsive and users received a steady and fast bias analysis. Application development process The process of developing this application was iterative and centered on two main areas: user interface and ML model integration.

APIs 84

APIs Automotive Engineering Education 84

AWS Machine Learning

MAY 8, 2023

At a high level, this post demonstrates the following: How to deploy an MLflow server on a serverless architecture running on a private subnet not accessible directly from the outside. To automate the infrastructure deployment, we use the AWS Cloud Development Kit (AWS CDK). Adds an IAM authorizer.

APIs 70

APIs Government Accountability Scripts 70

AWS Machine Learning

AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

APIs 74

APIs Engineering Scripts Analytics 74

AWS Machine Learning

MARCH 15, 2024

Additionally, in competitive markets, businesses adhering solely to manual processes might find it challenging to deliver efficient and competitive service. In this case, we use Claude V2, a powerful foundational model developed by Anthropic. awscli>=1.29.57 botocore>=1.31.57

APIs 120

APIs Engineering Technology CRM 120

AWS Machine Learning

MARCH 14, 2024

By the end, you will have solid guidelines and a helpful flow chart for determining the best method to develop your own FM-powered applications, grounded in real-life examples. As a fully managed service, Amazon Bedrock offers a straightforward developer experience to work with a broad range of high-performing FMs.

Best practices 105

Best practices Engineering Chatbots Enterprise 105

VirtualPBX

OCTOBER 2, 2019

the CEO and founder of GRIN tech – a full service digital agency in design, marketing, and web development alongside white-label agency & media outreach. Such a shift is partly caused by cloud providers, who offer users of public clouds more and more features that simplify the development of services.

SaaS 13

SaaS Engineering CRM voip 13

AWS Machine Learning

MARCH 15, 2023

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. Step Functions is a serverless workflow service that can control SageMaker APIs directly through the use of the Amazon States Language.

Scripts 122

Scripts APIs Engineering Construction 122

AWS Machine Learning

MARCH 3, 2023

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). The solution consists of the following steps: Configure an app on Exchange and get the connection details. On the Azure welcome page, choose App registrations. On the Azure welcome page, choose App registrations.

Accountability 71

Accountability APIs Enterprise Government 71

AWS Machine Learning

SEPTEMBER 6, 2023

Amazon Kendra is an intelligent search service powered by machine learning (ML). Adobe Experience Manager (AEM) is a content management system that’s used for creating website or mobile app content. Adobe Experience Manager (AEM) is a content management system that’s used for creating website or mobile app content.

Management 96

Management Enterprise Analytics Finance 96

AWS Machine Learning

MAY 23, 2023

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). There are two Confluence offerings : Cloud – This is offered as a software as a service (SaaS) product. Configure an app on Confluence and get the connection details. Store the details in AWS Secrets Manager.

APIs 81

APIs Accountability Enterprise Personalization 81