APIs, Finance and Scripts - Customer Contact Central

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

AWS Machine Learning

DECEMBER 22, 2023

Customers are now pre-training and fine-tuning LLMs ranging from 1 billion to over 175 billion parameters to optimize model performance for applications across industries, from healthcare to finance and marketing. For more information on how to enable SMP with your existing PyTorch FSDP training scripts, refer to Get started with SMP.

Scripts

Scripts APIs Engineering Finance

What is Call Scripting and How To Create it?

NobelBiz

MAY 11, 2021

Writing a call script is a must for contact centers that want to excel in their prospecting effort. If you write it according to the rules of the game, the script is an observable, cost-effective, and efficient method of attracting and maintaining prospects and clients. What exactly is call scripting? Why do scripts exist?

Scripts

Scripts Contact Center Calibration CRM

Configure and use defaults for Amazon SageMaker resources with the SageMaker Python SDK

AWS Machine Learning

MAY 31, 2023

Enterprise customers in tightly controlled industries such as healthcare and finance set up security guardrails to ensure their data is encrypted and traffic doesn’t traverse the internet. Additionally, each API call can have its own configurations. Then it copies the file into the default location for Studio notebooks.

APIs

APIs Scripts Accountability Enterprise

Webinars

Manual Call Reviews? Theres a Better Way!

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Explain medical decisions in clinical settings using Amazon SageMaker Clarify

AWS Machine Learning

AUGUST 21, 2023

You also use a custom inference script to do the predictions within the container. Here, you supply the same model_name used in the create_model API call. The create_endpoint API is synchronous in nature and returns an immediate response with the endpoint status being in the Creating state.

Healthcare

Healthcare APIs Scripts Finance

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

AWS Machine Learning

NOVEMBER 21, 2022

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. Text classification.

Scripts

Scripts Metrics APIs Healthcare

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

SEPTEMBER 1, 2023

In this scenario, the generative AI application, designed by the consumer, must interact with the fine-tuner backend via APIs to deliver this functionality to the end-users. Some models may be trained on diverse text datasets like internet data, coding scripts, instructions, or human feedback. 15K available FM reference Step 1.

Engineering

Engineering Accountability Construction APIs

Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents

AWS Machine Learning

SEPTEMBER 14, 2023

Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito. Finally, the response is sent back to the user via a HTTPs request through the Amazon API Gateway REST API integration response. The web application front-end is hosted on AWS Amplify.

APIs

APIs Healthcare Scripts Engineering

Zero-shot text classification with Amazon SageMaker JumpStart

AWS Machine Learning

AUGUST 11, 2023

For example, a language model that has beed trained to understand human language can be used to classify New Year’s resolutions tweets on multiple classes like career , health , and finance , without the language model being explicitly trained on the text classification task. We specify the script_scope as inference.

Scripts

Scripts Finance Construction APIs

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

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

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. Configure the IdP To set up your IdP, you must register the Data Wrangler application and set up your authorization server or API. Configure Snowflake. Configure SageMaker Studio.

APIs

APIs Engineering Analytics Scripts

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning

DECEMBER 18, 2023

Industries such as Finance, Retail, Supply Chain Management, and Logistics face the risk of missed opportunities, increased costs, inefficient resource allocation, and the inability to meet customer expectations. Solution overview Users persist their transactional time series data in MongoDB Atlas.

Finance

Finance APIs Analytics Scripts

Enriching real-time news streams with the Refinitiv Data Library, AWS services, and Amazon SageMaker

AWS Machine Learning

JANUARY 11, 2023

By using Terraform and a single entry point configurable script, we are able to instantiate the entire infrastructure, in production mode, on AWS in just a few minutes. IaC is the process of provisioning resources programmatically using automated scripts rather than using interactive configuration tools.

Scripts

Scripts Finance Enterprise Engineering

Redefining Customer Interactions with Real-Time Agent Assist

Balto

SEPTEMBER 18, 2023

On top of that, artificial intelligence provides agents with real-time assistance during calls for faster resolutions, automates note-taking, eliminates routine post-call work, and spots compliance and script deviations. Addressing Billing Concerns in Finance Billing problems can be a major headache for your support agents.

Interactive Voice Response

Interactive Voice Response Scripts Contact Center Coaching

Build a predictive maintenance solution with Amazon Kinesis, AWS Glue, and Amazon SageMaker

AWS Machine Learning

JULY 14, 2022

We begin by creating an S3 bucket where we store the script for our AWS Glue streaming job. Run the following command in your terminal to create a new bucket: aws s3api create-bucket --bucket sample-script-bucket-$RANDOM --region us-east-1. s3://sample-script-bucket-30232/glue_streaming/app.py. About the authors.

Engineering

Engineering Scripts APIs Finance

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning

APRIL 18, 2023

SEC filing dataset SEC filings are critical for regulation and disclosure in finance. We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies.

Finance

Finance Scripts APIs Sales

Best practices to build generative AI applications on AWS

AWS Machine Learning

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.

Best practices

Best practices Engineering Chatbots Enterprise

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning

APRIL 18, 2023

SEC filing dataset SEC filings are critical for regulation and disclosure in finance. We make this possible in a few API calls in the JumpStart Industry SDK. Using the SageMaker API, we downloaded annual reports ( 10-K filings ; see How to Read a 10-K for more information) for a large number of companies.

Finance

Finance Scripts APIs Sales

Zero-shot prompting for the Flan-T5 foundation model in Amazon SageMaker JumpStart

AWS Machine Learning

APRIL 3, 2023

You can access Amazon Comprehend document analysis capabilities using the Amazon Comprehend console or using the Amazon Comprehend APIs. The CMMS building will be the first of its kind in the country, according to UP Vice President for Administration and Finance Dr. Jose L.

Engineering

Engineering APIs Construction Finance

Chatbot: Complete Guide

JivoChat

APRIL 23, 2023

The chatbot had built-in scripts which enabled it to answer questions about a specific subject. They can help the client to keep track of their finances, set budgets and check credit scores. Or you can connect to another platform via our API. JivoChat Partners: Dahi.ai Chatme Plantt.

Chatbots

Chatbots B2C Self service Banking

Deep demand forecasting with Amazon SageMaker

AWS Machine Learning

JUNE 28, 2022

Time series forecasting is useful in multiple fields, including retail, finance, logistics, and healthcare. JumpStart features aren’t available in SageMaker notebook instances, and you can’t access them through SageMaker APIs or the AWS Command Line Interface (AWS CLI). Launch the solution.

Metrics

Metrics Healthcare Accountability Transportation

The Evolution of the Contact Center and Process Evaluation with Rod Jones

Vistio

AUGUST 9, 2021

From a customer point of view, I think huge frustrations, having to deal with typically a bank with the credit card division and then call another number for the customer service division and another number for the checking division, and another number for the vehicle finance or the home loans division.

Contact Center

Contact Center Consulting Consulting Call Center

Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

AWS Machine Learning

NOVEMBER 29, 2023

Once in production, ML consumers utilize the model via application-triggered inference through direct invocation or API calls, with feedback loops to model owners for ongoing performance evaluation. name: "llama2-7b-finetuned". client("s3") bucket, object_key = parse_s3_url(data_s3_path) s3.download_file(bucket, html") s3_object = s3.Object(bucket_name=output_bucket,

Benchmark

Benchmark Metrics Engineering APIs

JustCall vs Convoso: Which Sales Dialer Is Better For Your Business?

JustCall

JANUARY 29, 2024

JustCall is your restaurant with 100+ integrations for any CRM , webhook, or API – while Convoso serves up a mere 14 options. Moreover, you’ll need to justify the bucks you’ll ask your finance team to shell out. With over 100 connections to CRMs, data tools, and APIs, JustCall keeps things simple and helps your team work smoothly.

Sales

Sales Abandon rate APIs CRM

Run secure processing jobs using PySpark in Amazon SageMaker Pipelines

AWS Machine Learning

APRIL 11, 2023

SageMaker Processing jobs allow you to specify the private subnets and security groups in your VPC as well as enable network isolation and inter-container traffic encryption using the NetworkConfig.VpcConfig request parameter of the CreateProcessingJob API. We provide examples of this configuration using the SageMaker SDK in the next section.

Calibration

Calibration Scripts Engineering Best practices

Dialogue-guided visual language processing with Amazon SageMaker JumpStart

AWS Machine Learning

NOVEMBER 1, 2023

The TGI framework underpins the model inference layer, providing RESTful APIs for robust integration and effortless accessibility. Supplementing our auditory data processing, the Whisper ASR is also furnished with a RESTful API, enabling streamlined voice-to-text conversions.

APIs

APIs Engineering Construction Scripts

Customer Contact Central

Amazon SageMaker model parallel library now accelerates PyTorch FSDP workloads by up to 20%

What is Call Scripting and How To Create it?

Webinars

Trending Sources

Configure and use defaults for Amazon SageMaker resources with the SageMaker Python SDK

Webinars

Explain medical decisions in clinical settings using Amazon SageMaker Clarify

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

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

Simplify access to internal information using Retrieval Augmented Generation and LangChain Agents

Zero-shot text classification with Amazon SageMaker JumpStart

Inpaint images with Stable Diffusion using Amazon SageMaker JumpStart

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

Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

Enriching real-time news streams with the Refinitiv Data Library, AWS services, and Amazon SageMaker

Redefining Customer Interactions with Real-Time Agent Assist

Build a predictive maintenance solution with Amazon Kinesis, AWS Glue, and Amazon SageMaker

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

Best practices to build generative AI applications on AWS

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

Zero-shot prompting for the Flan-T5 foundation model in Amazon SageMaker JumpStart

Chatbot: Complete Guide

Deep demand forecasting with Amazon SageMaker

The Evolution of the Contact Center and Process Evaluation with Rod Jones

Operationalize LLM Evaluation at Scale using Amazon SageMaker Clarify and MLOps services

JustCall vs Convoso: Which Sales Dialer Is Better For Your Business?

Run secure processing jobs using PySpark in Amazon SageMaker Pipelines

Dialogue-guided visual language processing with Amazon SageMaker JumpStart

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