COPC

OCTOBER 26, 2023

Understanding AI Terminology Generative AI: These are algorithms trained to predict data sequences based on training information. LLMs are unique because they have been trained on enormous data sets. They achieve this by training in vast amounts of data and iterative fine-tuning.

Technology 78

Technology Customer Experience APIs Consulting 78

AWS Machine Learning

NOVEMBER 16, 2022

When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to isolate resources, contain security threats and simplify billing-and data science pipelines are no different. Some things to note in the preceding architecture: Accounts follow a principle of least privilege to follow security best practices.

Accountability 82

Accountability Best practices Scripts Engineering 82

AWS Machine Learning

MAY 19, 2023

The DescribeForMe web app invokes the backend AI services by sending the Amazon S3 object Key in the payload to Amazon API Gateway Amazon API Gateway instantiates an AWS Step Functions workflow. A pre-signed URL with the location of the audio file stored in Amazon S3 is sent back to the user’s browser through Amazon API Gateway.

APIs 89

APIs Scripts Engineering Best practices 89

AWS Machine Learning

APRIL 18, 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, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

Scripts 106

Scripts Best practices Engineering Accountability 106

AWS Machine Learning

FEBRUARY 13, 2023

The creation of a scalable and hassle-free data science environment is key. An administrator can run the AWS CDK script provided in the GitHub repo via the AWS Management Console or in the terminal after loading the code in their environment. The steps are as follows: Open AWS Cloud9 on the console. Navigate to the AWS Cloud9 console.

Scripts 74

Scripts Best practices Transportation Construction 74

AWS Machine Learning

AUGUST 1, 2023

In today’s rapidly evolving healthcare landscape, doctors are faced with vast amounts of clinical data from various sources, such as caregiver notes, electronic health records, and imaging reports. Efficiently summarizing and extracting insights from this data is crucial for better patient care and decision-making.

Healthcare 74

Healthcare APIs Scripts Engineering 74

Inbenta

SEPTEMBER 4, 2018

After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. The inability to contain the chatbot on your protected servers may lead to increased security risks for your company and customer data. Secure your access to RESTful API services.

Chatbots 58

Chatbots APIs Scripts Enterprise 58

AWS Machine Learning

AUGUST 14, 2023

However, we need to ensure that the LLMs limit the responses to company data, thereby mitigating model hallucinations. Some of the models offer capabilities for you to fine-tune them with your own data. as our example data to perform retrieval augmented question answering on.

Enterprise 69

Enterprise Scripts Best practices Analytics 69

Inbenta

SEPTEMBER 4, 2018

After a more recent in-depth review, we’ve outlined the following best practices for securely deployed your AI-based chatbot onto your site. The inability to contain the chatbot on your protected servers may lead to increased security risks for your company and customer data. Secure your access to RESTful API services.

Chatbots 40

Chatbots APIs Scripts Enterprise 40

AWS Machine Learning

JULY 8, 2022

To extract text and structured data such as tables and forms from documents, you can use Amazon Textract. It uses ML techniques to read and process any type of document, accurately extracting text, handwriting, tables, and other data with no manual effort. MLOps best practices with SageMaker.

Best practices 80

Best practices Scripts Construction Management 80

AWS Machine Learning

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. SageMaker makes it straightforward to deploy models into production directly through API calls to the service.

Engineering 99

Engineering Best practices APIs Scripts 99

AWS Machine Learning

FEBRUARY 8, 2024

These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. These managed agents play conductor, orchestrating interactions between FMs, API integrations, user conversations, and knowledge sources loaded with your data.

APIs 123

APIs Scripts Enterprise Management 123

AWS Machine Learning

MARCH 14, 2024

However, adoption of these FMs involves addressing some key challenges, including quality output, data privacy, security, integration with organization data, cost, and skills to deliver. Organizations must also carefully manage data privacy and security risks that arise from processing proprietary data with FMs.

Best practices 108

Best practices Engineering Chatbots Enterprise 108

AWS Machine Learning

SEPTEMBER 1, 2023

Specifically, we briefly introduce MLOps principles and focus on the main differentiators compared to FMOps and LLMOps regarding processes, people, model selection and evaluation, data privacy, and model deployment. These data owners are focused on providing access to their data to multiple business units or teams.

Engineering 106

Engineering Accountability Construction APIs 106

The Northridge Group

MAY 2, 2023

To get a handle on ChatGPT, its implications, benefits, challenges, and best practices for contact centers we had a virtual conversation recently with Nathan Hart, Senior Director of Technology, Solutioning & Data Analytics, The Northridge Group. But could it revolutionize the contact center industry?

Contact Center 67

Contact Center B2C Chatbots B2B 67

AWS Machine Learning

MARCH 15, 2023

The best practice for migration is to refactor these legacy codes using the Amazon SageMaker API or the SageMaker Python SDK. We demonstrate how two different personas, a data scientist and an MLOps engineer, can collaborate to lift and shift hundreds of legacy models.

Scripts 123

Scripts APIs Engineering Construction 123

AWS Machine Learning

JANUARY 8, 2024

However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search until they extract the text, forms, tables, and other structured data. In the following sections, we first describe the script solution, followed by the AWS CDK construct solution.

Scripts 91

Scripts Construction APIs Healthcare 91

NICE inContact

FEBRUARY 13, 2018

During an interaction, a screen pops up to the agent with relevant customer information, like their name, the selection they made in the IVR, their CRM profile, and maybe even some agent scripting. With good cloud-based contact center solutions, implementing agent screen pops have never been easier.

Contact Center 49

Contact Center Average Handle Time Wait times APIs 49

AWS Machine Learning

APRIL 23, 2024

The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. With AWS CloudFormation and the AWS Cloud Development Kit (AWS CDK), you can now create, update, and delete knowledge bases and associated data sources.

APIs 107

APIs Enterprise Scripts Accountability 107

AWS Machine Learning

APRIL 29, 2024

This is a guest post co-authored with Ville Tuulos (Co-founder and CEO) and Eddie Mattia (Data Scientist) of Outerbounds. This often means the method of using a third-party LLM API won’t do for security, control, and scale reasons. Metaflow’s coherent APIs simplify the process of building real-world ML/AI systems in teams.

APIs 101

APIs Engineering Scripts Management 101

AWS Machine Learning

MARCH 6, 2023

The size of an LLM and its training data is a double-edged sword: it brings modeling quality, but entails infrastructure challenges. In this post, we dive into tips and best practices for successful LLM training on Amazon SageMaker Training. Some of the best practices in this post refer specifically to ml.p4d.24xlarge

Best practices 79

Best practices APIs Transportation Scripts 79

AWS Machine Learning

NOVEMBER 9, 2022

Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. It helps data scientists and developers prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML. The Python script starts the NGINX, Flask, and Triton server.

Engineering 79

Engineering Accountability APIs Metrics 79

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. Businesses today rely on continuously growing repositories of internal information, and problems arise when the amount of unstructured data becomes unmanageable.

APIs 97

APIs Healthcare Scripts Engineering 97

AWS Machine Learning

JANUARY 10, 2023

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don’t have to manage servers.

Best practices 72

Best practices Scripts APIs Metrics 72

SmartAction

MAY 23, 2019

This is the fifth of a five-part blog series that outlines the Five Best Practices for AI Self-Service Without Compromise. Best Practice #5: Human-Centric Design from a team of CX Experts. CX Insights Manager – performs ongoing monitoring and analysis of data and recordings/transcripts.

Self service 40

Self service Virtual Agent Contact Center Engineering 40

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. RAG allows you to enhance your agent’s ability to generate more accurate and contextually relevant responses using your own data.

Scripts 101

Scripts Chatbots Accountability Multi-channel support 101

AWS Machine Learning

SEPTEMBER 8, 2023

Amazon Rekognition makes it easy to add image analysis capability to your applications without any machine learning (ML) expertise and comes with various APIs to fulfil use cases such as object detection, content moderation, face detection and analysis, and text and celebrity recognition, which we use in this example.

APIs 98

APIs Scripts Entertainment Personalization 98

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 URI is needed in the INFERENCE_SCRIPT_S3_LOCATION.

Scripts 81

Scripts APIs Best practices Engineering 81

AWS Machine Learning

SEPTEMBER 18, 2023

Data scientists have to address challenges like data partitioning, load balancing, fault tolerance, and scalability. Amazon SageMaker Pipelines allows orchestrating the end-to-end ML lifecycle from data preparation and training to model deployment as automated workflows.

Scripts 103

Scripts APIs Government Construction 103

AWS Machine Learning

AUGUST 19, 2022

As the behavior of their clients change, they can accumulate large amounts of new data every day. Model iteration is one of a data scientist’s daily jobs, but they face the problem of taking too long to train on large datasets. We discuss best practices in the following areas: Accelerate training on a single instance.

Best practices 72

Best practices APIs Scripts Advertising 72

AWS Machine Learning

MAY 8, 2023

In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.

APIs 71

APIs Government Accountability Scripts 71

AWS Machine Learning

JUNE 27, 2023

By enabling effective management of the ML lifecycle, MLOps can help account for various alterations in data, models, and concepts that the development of real-time image recognition applications is associated with. They required the manual sequential execution run of a series of complex notebooks to process the data and retrain the model.

Engineering 97

Engineering APIs Scripts Entertainment 97

AWS Machine Learning

SEPTEMBER 1, 2023

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. We use Streamlit for the sample demo application UI.

APIs 91

APIs Chatbots Engineering Best practices 91

AWS Machine Learning

JANUARY 11, 2023

Refinitiv Data (RD) Libraries provide a comprehensive set of interfaces for uniform access to the Refinitiv Data Catalogue. The library offers multiple layers of abstraction providing different styles and programming techniques suitable for all developers, from low-latency, real-time access to batch ingestions of Refinitiv data.

Scripts 66

Scripts Finance Enterprise Engineering 66

AWS Machine Learning

JANUARY 6, 2023

Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention. Many AWS media and entertainment customers license IMDb data through AWS Data Exchange to improve content discovery and increase customer engagement and retention.

Entertainment 84

Entertainment APIs Scripts Analytics 84

AWS Machine Learning

SEPTEMBER 11, 2023

SageMaker Studio is a fully integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all ML development steps, from preparing data to building, training, and deploying your ML models, improving data science team productivity by up to 10x.

Scripts 97

Scripts APIs Management Engineering 97

NobelBiz

APRIL 9, 2024

In this comprehensive article, we delve into the details of call center compliance , exploring its significance, the laws and regulations governing it, common mistakes to avoid, and best practices for ensuring adherence. It encompasses various aspects, including data protection, consumer rights, and ethical practices.

Call Center 104

Call Center Telemarketing Healthcare Government 104