Accountability, APIs and Finance - Customer Contact Central

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

AWS Machine Learning

NOVEMBER 14, 2024

For a multi-account environment, you can track costs at an AWS account level to associate expenses. A combination of an AWS account and tags provides the best results. For multiple accounts, assign mandatory tags to each one, identifying its purpose and the owner responsible.

Government

Government Best practices Accountability APIs

Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

MARCH 1, 2024

Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results. You have the option to override it to use either hybrid or semantic search in the API. billion, $6.1 billion, and $5.9 billion, $6.1

APIs

APIs Finance Chatbots Enterprise

Digital Trends and Technologies Transforming CX in Banking and Finance

Tenfold - Contact Center Blog

JUNE 22, 2018

The taste of this new class of customers clashes with the traditional mode of service that dominates the finance sector. They have no attachment to legacy systems that banks and finance companies have been holding onto for years, despite the wave of new technologies in business and communications. It’s actually self-service.

Finance

Finance Banking Technology Chatbots

Build private and secure enterprise generative AI applications with Amazon Q Business using IAM Federation

AWS Machine Learning

AUGUST 22, 2024

AWS recommends using AWS Identity Center if you have a large number of users in order to achieve a seamless user access management experience for multiple Amazon Q Business applications across many AWS accounts in AWS Organizations. This SAML or OIDC IAM identity provider is required for you to create an Amazon Q Business application.

Enterprise

Enterprise APIs Accountability Management

Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning

NOVEMBER 22, 2023

For example, during the project planning phase, you should invest in cloud financial management skills and tools, and align finance and tech teams to incorporate both business and technology perspectives. Most importantly, you need to establish collaboration between finance and technology. Let’s consider different project phases.

Finance

Finance Best practices APIs Accountability

A guide to Amazon Bedrock Model Distillation (preview)

AWS Machine Learning

DECEMBER 4, 2024

In a production environment, you continue to use the existing Amazon Bedrock Inference APIs, such as the InvokeModel or Converse API, and turn on invocation logs that store model input data (prompts) and model output data (responses). The student model is then fine-tuned using the prompt-response pairs generated by the teacher model.

APIs

APIs Metrics Healthcare Chatbots

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning

MAY 30, 2024

Services range from financing and investment to property management. AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards.

Real estate

Real estate APIs Metrics Construction

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

AWS Machine Learning

JULY 10, 2024

Prerequisites To use this feature, make sure you have satisfied the following requirements: An active AWS account. Prerequisites To use this feature, make sure you have satisfied the following requirements: An active AWS account. Anthropic Claude 3 Haiku enabled in Amazon Bedrock.

APIs

APIs Airlines Metrics Engineering

Efficient continual pre-training LLMs for financial domains

AWS Machine Learning

MARCH 28, 2024

The resulting LLM outperforms LLMs trained on non-domain-specific datasets when tested on finance-specific tasks. Collecting and preparing finance data Domain continual pre-training necessities a large-scale, high-quality, domain-specific dataset. the SEC assigned identifier). and FinPythia 6.9B.

Finance

Finance Metrics Banking Engineering

Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

NOVEMBER 22, 2023

All of the AWS AI services (for example, Amazon Textract , Amazon Comprehend , or Amazon Comprehend Medical ) used in IDP solutions are fully managed AI services where AWS secures their physical infrastructure, API endpoints, OS, and application code, and handles service resilience and failover within a given region.

APIs

APIs Accountability Enterprise Transportation

Create a virtual stock technical analyst using Amazon Bedrock Agents

AWS Machine Learning

NOVEMBER 26, 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 a single API. An agent analyzes the user request and automatically calls the necessary APIs and data sources to fulfill the request.

APIs

APIs Finance Accountability Engineering

Process mortgage documents with intelligent document processing using Amazon Textract and Amazon Comprehend

AWS Machine Learning

AUGUST 26, 2022

Although each mortgage application may be unique, we took into account some of the most common documents that are included in a mortgage application, such as the Unified Residential Loan Application (URLA-1003) form, 1099 forms, and mortgage note. For specialized documents such as ID documents, Amazon Textract provides the AnalyzeID API.

APIs

APIs Banking Accountability industry standards

Vision use cases with Llama 3.2 11B and 90B models from Meta

AWS Machine Learning

SEPTEMBER 25, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, like Meta, through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Configure Llama 3.2 b64encode(image_bytes).decode('utf-8')

Real estate

Real estate Finance APIs Construction

Medical content creation in the age of generative AI

AWS Machine Learning

JULY 3, 2024

In step 3, the frontend sends the HTTPS request via the WebSocket API and API gateway and triggers the first Amazon Lambda function. Once the input data is processed, it is sent to the LLM as contextual information through API calls. She is passionate about AI/ML, finance and software security topics.

Healthcare

Healthcare APIs Finance Feedback

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. The steps are as follows: Launch the CloudFormation stack in your account. Log in to your AWS account and open the AWS CloudFormation console.

APIs

APIs Scripts Accountability Enterprise

Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

AWS Machine Learning

FEBRUARY 14, 2024

Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API. Prerequisites Before you deploy this solution, make sure you have the following prerequisites set up: A valid AWS account.

Engineering

Engineering Chatbots Accountability Enterprise

Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

OCTOBER 21, 2024

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs

APIs Scripts Finance Real estate

MLOps foundation roadmap for enterprises with Amazon SageMaker

AWS Machine Learning

JUNE 24, 2022

We split the environment into multiple AWS accounts: Data lake – Stores all the ingested data from on premises (or other systems) to the cloud. The data is cataloged via the AWS Glue Data Catalog and shared with other users and accounts via AWS Lake Formation (the data governance layer). Standardising repository branching and CI/CD.

Enterprise

Enterprise Engineering Accountability APIs

InformedIQ automates verifications for Origence’s auto lending using machine learning

AWS Machine Learning

OCTOBER 6, 2022

To classify and extract information needed to validate information in accordance with a set of configurable funding rules, Informed uses a series of proprietary rules and heuristics, text-based neural networks, and image-based deep neural networks, including Amazon Textract OCR via the DetectDocumentText API and other statistical models.

APIs

APIs Banking SaaS Engineering

Build a vaccination verification solution using the Queries feature in Amazon Textract

AWS Machine Learning

JANUARY 22, 2024

If there are between 15–31 queries and the number of pages is between 2–3,001, then Amazon Textract asynchronous processing is the only option, because synchronous APIs only support up to 15 queries and one-page documents. NumberQueriesAndPagesChoice is a Choice state that adds conditional logic to a workflow.

Finance

Finance Enterprise APIs Healthcare

How Support Teams Can Improve Customer Retention

Help Scout

MAY 12, 2021

When a frustrated customer demands a refund, wants to close their account, or expresses disappointment with a product, a great customer service rep can often turn it around with a helpful answer, effective listening, and thoughtful questions. Your finance team, who may be involved with larger account billing. Your sales team.

Customer retention

Customer retention Finance Analytics Customer effort

Automate document processing with Amazon Bedrock Prompt Flows (preview)

AWS Machine Learning

OCTOBER 29, 2024

Enterprises in industries like manufacturing, finance, and healthcare are inundated with a constant flow of documents—from financial reports and contracts to patient records and supply chain documents. Financial services firms can accelerate workflows around loan applications, account openings, and regulatory reporting.

Finance

Finance Enterprise Healthcare Scripts

AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning

JUNE 26, 2024

These managed agents act as intelligent orchestrators, coordinating interactions between foundation models, API integrations, user questions and instructions, and knowledge sources loaded with your proprietary data. An agent uses action groups to carry out actions, such as making an API call to another tool.

APIs

APIs Engineering Marketing Enterprise

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 each user, the authorization server or the API sends tokens to Data Wrangler with Snowflake as the audience.

APIs

APIs Engineering Analytics Scripts

Intelligent document processing with AWS AI services: Part 1

AWS Machine Learning

AUGUST 15, 2022

Organizations across industries such as healthcare, finance and lending, legal, retail, and manufacturing often have to deal with a lot of documents in their day-to-day business processes. Amazon Comprehend also detects PII like addresses, bank account numbers, and phone numbers in text documents in real time and asynchronous batch jobs.

APIs

APIs Banking Finance Analytics

Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

AUGUST 30, 2023

Our latest QnABot releases, v5.4.0+, can now use an LLM to disambiguate customer questions by taking conversational context into account, dynamically generating answers from relevant FAQs or Amazon Kendra search results and document passages. Review your options from the qnabot-on-aws-plugin-samples repository README.

Self service

Self service APIs Transportation Contact Center

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

AWS Machine Learning

SEPTEMBER 14, 2023

Unstructured data accounts for 80% of all the data found within organizations, consisting of repositories of manuals, PDFs, FAQs, emails, and other documents that grows daily. Amazon API Gateway hosts a REST API with various endpoints to handle user requests that are authenticated using Amazon Cognito. 2xlarge 676.8

APIs

APIs Healthcare Scripts Engineering

Build well-architected IDP solutions with a custom lens – Part 3: Reliability

AWS Machine Learning

NOVEMBER 22, 2023

There are service limits (or quotas) for these services to avoid over-provisioning and to limit request rates on API operations, protecting the services from abuse. You should manage your service quotas across accounts or Regions if you’re planning a disaster recovery failover between accounts or Regions for your solution.

Best practices

Best practices APIs Accountability Enterprise

How Twitch used agentic workflow with RAG on Amazon Bedrock to supercharge ad sales

AWS Machine Learning

DECEMBER 13, 2024

It evaluates each user query to determine the appropriate course of action, whether refusing to answer off-topic queries, tapping into the LLM, or invoking APIs and data sources such as the vector database. For instance, if the question is related to audience forecasting, the agent will invoke Amazon internal Audience Forecasting API.

Sales

Sales Advertising Engineering APIs

Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart

AWS Machine Learning

DECEMBER 6, 2023

It provides SageMaker JumpStart which is a model hub where users can locate, preview, and launch a particular model in their own SageMaker account. To create a database, you will need a free API key from Pinecone. import pinecone import os # add Pinecone API key from app.pinecone.io

APIs

APIs Finance Metrics Management

Improving Customer Service and Experience in the Banking Sector

CSM Magazine

JULY 13, 2022

In 2019 in Sacramento, CA, ONE was established with a primary objective to simplify the lives and finances of everyday consumers. Account holders never have to worry about being charged for minimum balances, monthly maintenance, foreign transactions, wire transfers, overdrafts, insufficient funds, or ATM transactions. Fee-Free Banking.

Banking

Banking Customer Service APIs Finance

Meraki: A Retail Organization Use Case

ConvergeOne

FEBRUARY 16, 2021

Finance and Marketing functions are housed here and are located on different floors. The account team presented the proposed Cisco Meraki solution: The Cisco Meraki MS switches allow for wired connectivity of network devices, such as point-of-sale terminals. Open seating and meeting rooms require wireless access.

Wireless

Wireless Finance APIs Engineering

Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

SEPTEMBER 19, 2023

Large language models – The large language models (LLMs) are available via Amazon Bedrock, SageMaker JumpStart, or an API. Prerequisites To run this solution, you must have an API key to an LLM such as Anthropic Claude v2, or have access to Amazon Bedrock foundation models. Data exploration on stock data is done using Athena.

Marketing

Marketing APIs Engineering Analytics

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

SEPTEMBER 1, 2023

Each business unit has each own set of development (automated model training and building), preproduction (automatic testing), and production (model deployment and serving) accounts to productionize ML use cases, which retrieve data from a centralized or decentralized data lake or data mesh, respectively.

Engineering

Engineering Accountability Construction APIs

Earth Month customer spotlight: Aspiration

Talkdesk

APRIL 22, 2021

A Talkdesk customer since 2014, Aspiration has been disrupting the finance industry by “turning every transaction into positive action”. Learn more or open an account with Aspiration here , or check out their Instagram for sustainably focused giveaways and information about how to spend consciously. Even dollar transactions ($xx.00)

Interactive Voice Response

Interactive Voice Response Accountability Finance APIs

Q&A: How To Transform Reviews Into Recurring Revenue

ChurnZero

NOVEMBER 20, 2020

For example,] here are my 30 accounts; did any of them show up this weekend on G2 to compare my product with a competitor? . If we’re looking to roll out to an entire team, then we look to more of those API pushes and how we connect one tool to another. . You’re in finance; here are reviews from people like you.

Finance

Finance Feedback Sales Accountability

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

AWS Machine Learning

JANUARY 13, 2023

It involves training a shared ML model without moving or sharing data across sites or with a centralized server during the model training process, and can be implemented across multiple AWS accounts. Participants can either choose to maintain their data in their on-premises systems or in an AWS account that they control.

Analytics

Analytics Healthcare Engineering Government

Messaging vs Chat vs Texting: Battle for the Future of Customer Service [Google Hangout]

Fonolo

NOVEMBER 1, 2018

However, the downside of messaging is that consumers must have the relevant app installed, and an associated account set up. However, sectors that deal with sensitive customer information (such as government, healthcare, or finance) are wary of making Facebook, Apple or Google a messaging pathway for their users. Twitter: @tpgoebel.

Customer Service

Customer Service B2C Finance 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

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

Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container

AWS Machine Learning

JUNE 25, 2024

The following is an example of the Helm chart.yaml file to override the necessary configs: serviceAccounts: server: name: "amp-iamproxy-ingest-service-account" annotations: eks.amazonaws.com/role-arn: "arn:aws:iam:: :role/amp-iamproxy-ingest-role" server: remoteWrite: - url: [link].amazonaws.com/workspaces/

Metrics

Metrics Best practices Analytics Accountability

Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

AWS Machine Learning

MAY 24, 2023

A key advantage of local LLM deployment lies in its ability to enhance data security without submitting data outside to third-party APIs. 24xlarge instance types # Please request P instance quota increase via Service Quotas console or your account manager real_time_inference_instance_type = ("ml.p4d.24xlarge")

Banking

Banking APIs Engineering Accountability

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

NOVEMBER 16, 2023

These capabilities are essential for demonstrating compliance with regulatory standards and ensuring transparency and accountability in AI/ML workflows. He operates in the capacity of a Tech Lead, overseeing various operations for clients in Healthcare and Life Sciences, Finance, Aviation, and Manufacturing.

Healthcare

Healthcare Government Engineering APIs

Intelligently search Adobe Experience Manager content using Amazon Kendra

AWS Machine Learning

SEPTEMBER 6, 2023

Prerequisites To try out the Amazon Kendra connector for AEM using this post as a reference, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. The connector will use the user name and group lookup for the user context of the search queries. Choose Save or Add Secret.

Management

Management Enterprise Analytics Finance

Governing ML lifecycle at scale: Best practices to set up cost and usage visibility of ML workloads in multi-account environments

Knowledge Bases for Amazon Bedrock now supports hybrid search

Trending Sources

Digital Trends and Technologies Transforming CX in Banking and Finance

Build private and secure enterprise generative AI applications with Amazon Q Business using IAM Federation

Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

A guide to Amazon Bedrock Model Distillation (preview)

CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

Fine-tune Anthropic’s Claude 3 Haiku in Amazon Bedrock to boost model accuracy and quality

Efficient continual pre-training LLMs for financial domains

Build well-architected IDP solutions with a custom lens – Part 2: Security

Create a virtual stock technical analyst using Amazon Bedrock Agents

Process mortgage documents with intelligent document processing using Amazon Textract and Amazon Comprehend

Vision use cases with Llama 3.2 11B and 90B models from Meta

Medical content creation in the age of generative AI

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

Build generative AI chatbots using prompt engineering with Amazon Redshift and Amazon Bedrock

Amazon Bedrock Custom Model Import now generally available

MLOps foundation roadmap for enterprises with Amazon SageMaker

InformedIQ automates verifications for Origence’s auto lending using machine learning

Build a vaccination verification solution using the Queries feature in Amazon Textract

How Support Teams Can Improve Customer Retention

Automate document processing with Amazon Bedrock Prompt Flows (preview)

AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

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

Intelligent document processing with AWS AI services: Part 1

Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

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

Build well-architected IDP solutions with a custom lens – Part 3: Reliability

How Twitch used agentic workflow with RAG on Amazon Bedrock to supercharge ad sales

Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart

Improving Customer Service and Experience in the Banking Sector

Meraki: A Retail Organization Use Case

Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

FMOps/LLMOps: Operationalize generative AI and differences with MLOps

Earth Month customer spotlight: Aspiration

Q&A: How To Transform Reviews Into Recurring Revenue

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 1

Messaging vs Chat vs Texting: Battle for the Future of Customer Service [Google Hangout]

Zero-shot text classification with Amazon SageMaker JumpStart

Best practices to build generative AI applications on AWS

Scale and simplify ML workload monitoring on Amazon EKS with AWS Neuron Monitor container

Dialogue-guided intelligent document processing with foundation models on Amazon SageMaker JumpStart

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

Intelligently search Adobe Experience Manager content using Amazon Kendra

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