APIs, Demo and Scripts - Customer Contact Central

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

FEBRUARY 29, 2024

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs

APIs Healthcare Scripts Enterprise

Kunnect Completes Salesforce API Integration

Kunnect

APRIL 28, 2015

We’re excited to announce that we’ve completed an integration using the Salesforce.com application programming interface (API). Contact us for a free demo. At Kunnect, we’re constantly looking for ways to make our cloud-based call center software even more convenient and user-friendly. Why is this important?

APIs

APIs call center software CRM Call Center

How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency

AWS Machine Learning

APRIL 19, 2023

Our data scientists train the model in Python using tools like PyTorch and save the model as PyTorch scripts. Ideally, we instead want to load the model PyTorch scripts, extract the features from model input, and run model inference entirely in Java. However, a few issues came with this solution.

Engineering

Engineering APIs Scripts Education

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Build a serverless meeting summarization backend with large language models on Amazon SageMaker JumpStart

AWS Machine Learning

MAY 17, 2023

The events trigger Lambda functions to make API calls to Amazon Transcribe and invoke the real-time endpoint hosting the Flan T5 XL model. Once created, the endpoint can be invoked with the InvokeEndpoint API. When the status is Complete , return to the Amazon S3 console and open the demo bucket. Choose Create folder.

APIs

APIs Scripts Engineering Management

Automatically generate impressions from findings in radiology reports using generative AI on AWS

AWS Machine Learning

AUGUST 30, 2023

pre_trained_model = Model( image_uri=deploy_image_uri, model_data=pre_trained_model_uri, role=aws_role, predictor_cls=Predictor, name=pre_trained_name, env=large_model_env, ) # Deploy the pre-trained model.

Healthcare

Healthcare APIs Scripts Metrics

Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK

AWS Machine Learning

MAY 23, 2023

The web application interacts with the models via Amazon API Gateway and AWS Lambda functions as shown in the following diagram. API Gateway provides the web application and other clients a standard RESTful interface, while shielding the Lambda functions that interface with the model. Clone and set up the AWS CDK application.

APIs

APIs Accountability Construction Management

Move Amazon SageMaker Autopilot ML models from experimentation to production using Amazon SageMaker Pipelines

AWS Machine Learning

NOVEMBER 1, 2022

Autopilot training jobs start their own dedicated SageMaker backend processes, and dedicated SageMaker API calls are required to start new training jobs, monitor training job statuses, and invoke trained Autopilot models. We use a Lambda step because the API call to Autopilot is lightweight. script creates an Autopilot job.

Scripts

Scripts APIs Metrics Engineering

GPT-NeoXT-Chat-Base-20B foundation model for chatbot applications is now available on Amazon SageMaker

AWS Machine Learning

MAY 16, 2023

As a JumpStart model hub customer, you get improved performance without having to maintain the model script outside of the SageMaker SDK. The inference script is prepacked with the model artifact. A short demo to showcase the JumpStartOpenChatKitShell is shown in the following video. The deploy method may take a few minutes.

Chatbots

Chatbots Scripts APIs Feedback

Incremental training with Amazon SageMaker JumpStart

AWS Machine Learning

JUNE 9, 2022

Recently, we also announced the launch of easy-to-use JumpStart APIs as an extension of the SageMaker Python SDK, allowing you to programmatically deploy and fine-tune a vast selection of JumpStart-supported pre-trained models on your own datasets. JumpStart overview. This dataset comprises images of five types of flowers.

Scripts

Scripts APIs Enterprise Accountability

Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

AWS Machine Learning

NOVEMBER 21, 2022

Now we can take a closer look at some of the assets that are included in this solution, starting with the demo notebook. Demo notebook. You can use the demo notebook to send example data to already deployed model endpoints for the document summarization and question answering tasks. Text classification.

Scripts

Scripts Metrics APIs Healthcare

Instruction fine-tuning for FLAN T5 XL with Amazon SageMaker Jumpstart

AWS Machine Learning

MAY 22, 2023

job name: jumpstart-demo-xl-3-2023-04-06-08-16-42-738 INFO:sagemaker:Creating training-job with name: jumpstart-demo-xl-3-2023-04-06-08-16-42-738 When the training is complete, you have a fine-tuned model at model_uri. Let’s use it!

APIs

APIs Scripts Metrics Accountability

Use AWS AI and ML services to foster accessibility and inclusion of people with a visual or communication impairment

AWS Machine Learning

JUNE 10, 2022

Generally speaking, the SDK for JavaScript provides access to AWS services in either browser scripts or Node.js; for this sample project, the SDK is used in browser scripts. For additional information about how to access AWS services from a browser script, refer to Getting Started in a Browser Script. About the Author.

Scripts

Scripts APIs Accountability Engineering

Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

AWS Machine Learning

MARCH 20, 2023

Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. Quantizing the model in PyTorch is possible with a few APIs from Intel PyTorch extensions. py scripts for testing. times greater with INT8 quantization.

Calibration

Calibration Scripts Benchmark APIs

JustCall vs Kixie: Your Trusted Guide to Choosing the Right Sales Dialer [By Industry Experts]

JustCall

JANUARY 29, 2024

is probably one of our most frequently asked questions on demo calls — and it’s a fair one to ask, given how similar JustCall and Kixie can appear at the outset, and how big an investment a sales dialer can be. How do you stack up to Kixie?” The good folks at Kixie have built what we think is a seriously competitive offering.

Sales

Sales APIs Analytics Abandon rate

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. iterdir(): if p_file.suffix == ".pth":

APIs

APIs Scripts Engineering Technical Support

Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

AWS Machine Learning

APRIL 11, 2023

In the post Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication , we demonstrated how to build a private API to generate Amazon SageMaker Studio presigned URLs that are only accessible by an authenticated end-user within the corporate network from a single account.

APIs

APIs Accountability Scripts Enterprise

Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements

AWS Machine Learning

NOVEMBER 30, 2023

SageMaker makes it straightforward to deploy models into production directly through API calls to the service. For example: input = "How is the demo going?" Using LOCAL_CONTAINER is a great way to test out your script locally before deploying to a SageMaker endpoint. Refer to demo-model-builder-huggingface-llama2.ipynb

Engineering

Engineering Best practices APIs Scripts

The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

NobelBiz

APRIL 23, 2024

You can use a sophisticated outbound dialing engine that increases your response rates, record calls to create an extensive customer history database, and move your interactions on multiple channels to cover a larger array of customer needs and demands; all while using personalized and customized scripts.

Customer centricity

Customer centricity Contact Center Technology Telemarketing

A Comprehensive Guide to Virtual Call Center and Contact Centers

Hodusoft

MAY 10, 2024

Personalized Customer Experiences Virtual call center platforms often include features like advanced analytics, customer segmentation, and personalized scripting tools. Consider APIs and third-party integrations available to extend functionality as needed. Ask for a Free demo!

virtual call center

virtual call center Call Center Contact Center call center software

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. The following demo recording highlights Agents and Knowledge Bases for Amazon Bedrock functionality and technical implementation details.

APIs

APIs Scripts Enterprise Management

Build a GNN-based real-time fraud detection solution using Amazon SageMaker, Amazon Neptune, and the Deep Graph Library

AWS Machine Learning

AUGUST 11, 2022

Additionally, it’s challenging to construct a streaming data pipeline that can feed incoming events to a GNN real-time serving API. It starts from a RESTful API that queries the graph database in Neptune to extract the subgraph related to an incoming transaction. The code used in this solution is available in src/scripts/glue-etl.py.

Construction

Construction APIs Accountability Scripts

Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

AWS Machine Learning

AUGUST 14, 2023

The code for all the steps in this demo is available in the following notebook. Answer: 2021 ### Context: NLP Cloud developed their API by mid-2020 and they added many pre-trained open-source models since then. Answer: API ### Context: All plans can be stopped anytime. Question: When was NLP Cloud founded?

Engineering

Engineering APIs Chatbots Scripts

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

AWS Machine Learning

FEBRUARY 29, 2024

The endpoints like SageMaker API, SageMaker Studio, and SageMaker notebook facilitate secure and reliable communication between the platform account’s VPC and the SageMaker domain managed by AWS in the SageMaker service account.

APIs

APIs Construction Transportation Analytics

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

AWS Machine Learning

AUGUST 14, 2023

You can serialize pipelines to YAML files , expose them via a REST API , and scale them flexibly with your workloads, making it easy to move your application from a prototype stage to production. script to preprocess and index the provided demo data. script to fit your needs if you chose to use your own data.

Enterprise

Enterprise Scripts Best practices Analytics

Kunnect Integrates with Zoho CRM and Applications

Kunnect

MAY 5, 2015

Like Salesforce.com, the integration is made possible through Zoho’s application programming interface (API). Our software, hosted in the Amazon platform, includes features such as a predictive dialer, call scripting, call recording, ACD, skills-based routing, IVR, living monitoring, real-time statistics, historical reporting and more.

CRM

CRM call center software APIs Call Center

Zendesk Agent Scripting App – Version 12

Zingtree

MAY 24, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. Benefits of the Zendesk Agent Scripting App. Demo Video. Installing the Agent Scripting App into Zendesk. Installing the Agent Scripting App into Zendesk. Contents of this Article.

Scripts

Scripts APIs Real estate Feedback

JustCall vs Aircall: A Comprehensive Comparison in 2023

JustCall

APRIL 12, 2023

Highlights of JustCall and Aircall Highlights of JustCall: JustCall is a SaaS VoIP application, which is typically used by the following industries: Marketing and Advertising (9.7%) Computer Software (9.3%) Real Estate (8.4%) Education Management (6.6%) Information Technology and Services (6.2%) Others (59.7%

Real estate

Real estate Interactive Voice Response CRM Call Center

Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

AWS Machine Learning

JULY 29, 2022

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. Build your training script for the Hugging Face SageMaker estimator. script to use with Script Mode and pass hyperparameters for training. to(device).

Scripts

Scripts APIs Big data Engineering

Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain

AWS Machine Learning

DECEMBER 22, 2023

Amazon Bedrock is a fully managed service that makes leading FMs from AI companies available through an API along with developer tooling to help build and scale generative AI applications. Solution Deployment Automation Script The preceding source./create-stack.sh The agent is equipped with tools that include an Anthropic Claude 2.1

Scripts

Scripts Chatbots Accountability Multi-channel support

Zendesk Agent Scripting App – Version 11

Zingtree

MAY 3, 2018

If you’re a Zendesk user in a Contact Center environment, you’ll want to be using our Zendesk Agent Scripting app. Pause and Resume: If a ticket is transferred, the supervisor or new agent is taken to the last place in the script, and can see the history of the previous steps taken. Demo Video.

Scripts

Scripts APIs Feedback Contact Center

Upscale images with Stable Diffusion in Amazon SageMaker JumpStart

AWS Machine Learning

JANUARY 25, 2023

In this post, we provide an overview of how to deploy and run inference with the Stable Diffusion upscaler model in two ways: via JumpStart’s user interface (UI) in Amazon SageMaker Studio , and programmatically through JumpStart APIs available in the SageMaker Python SDK. The following examples contain code snippets.

APIs

APIs Scripts Real estate Entertainment

Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker

AWS Machine Learning

NOVEMBER 14, 2022

We provide a step-by-step guide to deploy your SageMaker trained model to Graviton-based instances, cover best practices when working with Graviton, discuss the price-performance benefits, and demo how to deploy a TensorFlow model on a SageMaker Graviton instance. The inference script is stored in Amazon Simple Storage Service (Amazon S3).

Scripts

Scripts APIs Best practices Engineering

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

AWS Machine Learning

AUGUST 17, 2023

Deploy the CloudFormation template Complete the following steps to deploy the CloudFormation template: Save the CloudFormation template sm-redshift-demo-vpc-cfn-v1.yaml Enter a stack name, such as Demo-Redshift. You should see a new CloudFormation stack with the name Demo-Redshift being created. yaml locally.

APIs

APIs Engineering Scripts Analytics

Geospatial generative AI with Amazon Bedrock and Amazon Location Service

AWS Machine Learning

NOVEMBER 22, 2023

Amazon Bedrock is a fully managed service that offers an easy-to-use API for accessing foundation models for text, image, and embedding. Amazon Location offers an API for maps, places, and routing with data provided by trusted third parties such as Esri, HERE, Grab, and OpenStreetMap.

APIs

APIs Scripts Engineering Accountability

Inpaint images with Stable Diffusion using Amazon SageMaker JumpStart

AWS Machine Learning

APRIL 10, 2023

In this post, we present a comprehensive guide on deploying and running inference using the Stable Diffusion inpainting model in two methods: through JumpStart’s user interface (UI) in Amazon SageMaker Studio , and programmatically through JumpStart APIs available in the SageMaker Python SDK.

APIs

APIs Scripts Construction Finance

Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting

AWS Machine Learning

SEPTEMBER 1, 2023

We use Streamlit for the sample demo application UI. Solution overview To get responses streamed back from SageMaker, you can use our new InvokeEndpointWithResponseStream API. To take advantage of the new streaming API, you need to make sure the model container returns the streamed response as chunked encoded data.

APIs

APIs Chatbots Engineering Best practices

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

DECEMBER 6, 2023

Another driver behind RAG’s popularity is its ease of implementation and the existence of mature vector search solutions, such as those offered by Amazon Kendra (see Amazon Kendra launches Retrieval API ) and Amazon OpenSearch Service (see k-Nearest Neighbor (k-NN) search in Amazon OpenSearch Service ), among others.

Analytics

Analytics APIs Engineering Construction

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

Generate images from text with the stable diffusion model on Amazon SageMaker JumpStart

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. If you want to jump straight into the JumpStart API code we go through in this post, you can refer to the following sample Jupyter notebook: Introduction to JumpStart – Text to Image.

APIs

APIs Scripts Enterprise Big data

Safe image generation and diffusion models with Amazon AI content moderation services

AWS Machine Learning

JUNE 28, 2023

Solution overview Amazon Rekognition and Amazon Comprehend are managed AI services that provide pre-trained and customizable ML models via an API interface, eliminating the need for machine learning (ML) expertise. The RESTful API will return the generated image and the moderation warnings to the client if unsafe information is detected.

APIs

APIs Advertising Engineering Construction

JustCall Vs. Orum: Which Sales Dialer Is Better for Your Business?

JustCall

FEBRUARY 20, 2024

JustCall is easier to integrate: JustCall boasts 100+ integrations for CRMs , webhooks, or APIs, offering seamless compatibility with various business tools. Note: Orum requires potential customers to request a demo and speak with a sales representative to receive a custom quote based on their specific needs and features required.

Sales

Sales APIs Scripts Analytics

Fine-tune text-to-image Stable Diffusion models with Amazon SageMaker JumpStart

AWS Machine Learning

FEBRUARY 20, 2023

In this post, we provide an overview of how to fine-tune the Stable Diffusion model in two ways: programmatically through JumpStart APIs available in the SageMaker Python SDK , and JumpStart’s user interface (UI) in Amazon SageMaker Studio. Fine-tuning large models like Stable Diffusion usually requires you to provide training scripts.

Scripts

Scripts APIs Entertainment Construction

Run text generation with GPT and Bloom models on Amazon SageMaker JumpStart

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

APIs Scripts Enterprise Big data

Cirrus Releases Game-Changing Upgrade to Their Contact Centre Platform

CSM Magazine

SEPTEMBER 21, 2023

The upgrade integrates an array of powerful technologies, including CRM, workforce optimisation and enhanced omnichannel features like outbound dialler, drag-and-drop IVR and workflow builder and agent scripting. Book a demo here. The future of contact centre customer service is here, and its powered by Cirrus.

APIs

APIs Scripts Interactive Voice Response CRM

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Kunnect Completes Salesforce API Integration

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How Sportradar used the Deep Java Library to build production-scale ML platforms for increased performance and efficiency

Webinars

Build a serverless meeting summarization backend with large language models on Amazon SageMaker JumpStart

Automatically generate impressions from findings in radiology reports using generative AI on AWS

Deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK

Move Amazon SageMaker Autopilot ML models from experimentation to production using Amazon SageMaker Pipelines

GPT-NeoXT-Chat-Base-20B foundation model for chatbot applications is now available on Amazon SageMaker

Incremental training with Amazon SageMaker JumpStart

Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

Instruction fine-tuning for FLAN T5 XL with Amazon SageMaker Jumpstart

Use AWS AI and ML services to foster accessibility and inclusion of people with a visual or communication impairment

Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

JustCall vs Kixie: Your Trusted Guide to Choosing the Right Sales Dialer [By Industry Experts]

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

Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio

Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements

The Future of Debt Collection Agencies: Contact Center Technology and Customer-Centric Strategies

A Comprehensive Guide to Virtual Call Center and Contact Centers

Automate the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock

Build a GNN-based real-time fraud detection solution using Amazon SageMaker, Amazon Neptune, and the Deep Graph Library

Zero-shot and few-shot prompting for the BloomZ 176B foundation model with the simplified Amazon SageMaker JumpStart SDK

Supercharge your AI team with Amazon SageMaker Studio: A comprehensive view of Deutsche Bahn’s AI platform transformation

Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs

Kunnect Integrates with Zoho CRM and Applications

Zendesk Agent Scripting App – Version 12

JustCall vs Aircall: A Comprehensive Comparison in 2023

Fine-tune and deploy a summarizer model using the Hugging Face Amazon SageMaker containers bringing your own script

Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain

Zendesk Agent Scripting App – Version 11

Upscale images with Stable Diffusion in Amazon SageMaker JumpStart

Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker

Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift

Geospatial generative AI with Amazon Bedrock and Amazon Location Service

Inpaint images with Stable Diffusion using Amazon SageMaker JumpStart

Elevating the generative AI experience: Introducing streaming support in Amazon SageMaker hosting

Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

Run image segmentation with Amazon SageMaker JumpStart

Generate images from text with the stable diffusion model on Amazon SageMaker JumpStart

Safe image generation and diffusion models with Amazon AI content moderation services

JustCall Vs. Orum: Which Sales Dialer Is Better for Your Business?

Fine-tune text-to-image Stable Diffusion models with Amazon SageMaker JumpStart

Run text generation with GPT and Bloom models on Amazon SageMaker JumpStart

Cirrus Releases Game-Changing Upgrade to Their Contact Centre Platform

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