AWS Machine Learning

JANUARY 14, 2025

With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. This is particularly useful in healthcare, financial services, and legal sectors.

APIs 111

APIs Chatbots Enterprise Healthcare 111

AWS Machine Learning

NOVEMBER 7, 2024

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. API Gateway also provides a WebSocket API. At this point, you need to consider the use case and data isolation requirements.

Enterprise 115

Enterprise APIs Government Accountability 115

AWS Machine Learning

APRIL 3, 2025

Better data Automated data collection and analysis means fewer mistakes and more consistent results. Each drone follows predefined routes, with flight waypoints, altitude, and speed configured through an AWS API, using coordinates stored in Amazon DynamoDB. This makes inspections much safer.

APIs 117

APIs Telecommunications Enterprise Best practices 117

Callminer

SEPTEMBER 8, 2023

release including enhancements to bulk export API capabilities, giving customers even more control over their data. Bruce McMahon, VP of Product Management, shares updates from the 2023.09

APIs 402

APIs Management 402

AWS Machine Learning

APRIL 23, 2025

Implementing RAG-based applications requires careful attention to security, particularly when handling sensitive data. The protection of personally identifiable information (PII), protected health information (PHI), and confidential business data is crucial because this information flows through RAG systems.

APIs 63

APIs Healthcare Enterprise Accountability 63

AWS Machine Learning

MARCH 6, 2025

By using the power of LLMs and combining them with specialized tools and APIs, agents can tackle complex, multistep tasks that were previously beyond the reach of traditional AI systems. Whenever local database information is unavailable, it triggers an online search using the Tavily API.

APIs 130

APIs Scripts Enterprise Management 130

AWS Machine Learning

FEBRUARY 12, 2025

Amazon Bedrock is a fully managed service that makes FMs from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case. One consistent pain point of fine-tuning is the lack of data to effectively customize these models.

APIs 80

APIs Management Benchmark Scripts 80

AWS Machine Learning

DECEMBER 4, 2024

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Consider a global retail site operating across multiple regions and countries.

APIs 107

APIs Sales Surveys Analytics 107

AWS Machine Learning

OCTOBER 31, 2024

It can be tailored to specific business needs by connecting to company data, information, and systems through over 40 built-in connectors. Whether you’re a small startup or a large enterprise, this solution can help you maximize the potential of your Gmail data and empower your team with actionable insights.

APIs 122

APIs Accountability Enterprise Engineering 122

AWS Machine Learning

OCTOBER 29, 2024

All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers. These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies.

Engineering 113

Engineering APIs Sales Enterprise 113

AWS Machine Learning

MARCH 19, 2025

Generative AI is rapidly transforming the modern workplace, offering unprecedented capabilities that augment how we interact with text and data. Note that these APIs use objects as namespaces, alleviating the need for explicit imports. API Gateway supports multiple mechanisms for controlling and managing access to an API.

APIs 115

APIs Automotive Accountability Analytics 115

AWS Machine Learning

NOVEMBER 19, 2024

Clone the repo To get started, clone the repository by running the following command, and then switch to the working directory: git clone [link] Build your guardrail To build the guardrail, you can use the CreateGuardrail API. Based on the API response, you can determine the guardrail’s action.

APIs 120

APIs Government Banking Engineering 120

AWS Machine Learning

DECEMBER 18, 2024

Generative AIpowered assistants such as Amazon Q Business can be configured to answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. The retriever pulls data from the index in real time during a conversation.

APIs 100

APIs Enterprise Accountability Government 100

AWS Machine Learning

JANUARY 24, 2025

These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. Amazon Cognito complements these defenses by enabling user authentication and data synchronization.

APIs 119

APIs Scripts Best practices Management 119

AWS Machine Learning

NOVEMBER 15, 2024

Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development. This can be useful when you have requirements for sensitive data handling and user privacy.

APIs 113

APIs Government Best practices Metrics 113

AWS Machine Learning

APRIL 3, 2025

Business use cases The account plans draft assistant serves four primary use cases: Account plan draft generation: Using Amazon Bedrock, weve made internal and external data sources available to generate draft content for key sections of the APs. Lets explore how we built this AI assistant and some of our future plans.

Accountability 115

Accountability Sales CRM APIs 115

AWS Machine Learning

MARCH 11, 2025

One of the most critical applications for LLMs today is Retrieval Augmented Generation (RAG), which enables AI models to ground responses in enterprise knowledge bases such as PDFs, internal documents, and structured data. These five webpages act as a knowledge base (source data) to limit the RAG models response. get("message", {}).get("content")

Benchmark 114

Benchmark APIs Enterprise Scripts 114

AWS Machine Learning

JULY 31, 2024

The new ApplyGuardrail API enables you to assess any text using your preconfigured guardrails in Amazon Bedrock, without invoking the FMs. In this post, we demonstrate how to use the ApplyGuardrail API with long-context inputs and streaming outputs. For example, you can now use the API with models hosted on Amazon SageMaker.

APIs 132

APIs Banking Best practices Engineering 132

AWS Machine Learning

JANUARY 28, 2025

Furthermore, evaluation processes are important not only for LLMs, but are becoming essential for assessing prompt template quality, input data quality, and ultimately, the entire application stack. SageMaker is a data, analytics, and AI/ML platform, which we will use in conjunction with FMEval to streamline the evaluation process.

Management 120

Management APIs Engineering Metrics 120

AWS Machine Learning

SEPTEMBER 13, 2024

Intricate workflows that require dynamic and complex API orchestration can often be complex to manage. In this post, we explore how chaining domain-specific agents using Amazon Bedrock Agents can transform a system of complex API interactions into streamlined, adaptive workflows, empowering your business to operate with agility and precision.

APIs 134

APIs Enterprise Best practices Accountability 134

AWS Machine Learning

MARCH 14, 2025

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API. Prerequisites AWS Command Line Interface (CLI), follow instructions here.

APIs 136

APIs Engineering CRM Enterprise 136

AWS Machine Learning

JANUARY 22, 2025

Amazon Bedrock Flows offers an intuitive visual builder and a set of APIs to seamlessly link foundation models (FMs), Amazon Bedrock features, and AWS services to build and automate user-defined generative AI workflows at scale. Test the flow Youre now ready to test the flow through the Amazon Bedrock console or API.

APIs 132

APIs Transportation Best practices Enterprise 132

AWS Machine Learning

APRIL 10, 2025

You can get started without any prior machine learning (ML) experience, and Amazon Personalize allows you to use APIs to build sophisticated personalization capabilities. Using this service, all your data is encrypted to be private and secure, and is only used to create recommendations for your users. Create a dataset group.

Personalization 106

Personalization APIs Advertising Accountability 106

AWS Machine Learning

AUGUST 2, 2024

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs 120

APIs Benchmark Construction Enterprise 120

AWS Machine Learning

NOVEMBER 14, 2024

Customers can use the SageMaker Studio UI or APIs to specify the SageMaker Model Registry model to be shared and grant access to specific AWS accounts or to everyone in the organization. The model is then A/B tested along with the use case in pre-production with production-like data settings and approved for deployment to the next stage.

Government 107

Government Management APIs Accountability 107

AWS Machine Learning

NOVEMBER 21, 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 through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

APIs 113

APIs Call Center Engineering Personalization 113

AWS Machine Learning

APRIL 10, 2025

A distinguishing feature of Pixtral Large is its expansive context window of 128,000 tokens, enabling it to simultaneously process multiple images alongside extensive textual data. Chart and data visualization interpretation The model demonstrates exceptional proficiency in understanding complex visual data representations.

APIs 114

APIs Management Marketing Engineering 114

AWS Machine Learning

NOVEMBER 13, 2024

The solution also uses Amazon Cognito user pools and identity pools for managing authentication and authorization of users, Amazon API Gateway REST APIs, AWS Lambda functions, and an Amazon Simple Storage Service (Amazon S3) bucket. To launch the solution in a different Region, change the aws_region parameter accordingly.

APIs 134

APIs Scripts Accountability Entertainment 134

AWS Machine Learning

FEBRUARY 21, 2025

This serves as an example of how generative AI can streamline operations that involve diverse data types and formats. Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data.

APIs 101

APIs Healthcare Consulting Consulting 101

AWS Machine Learning

MARCH 4, 2025

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. We provide the upstream components, including document ingestion and query formatting, as static data instead of code.

APIs 119

APIs Best practices Management Personalization 119

AWS Machine Learning

APRIL 10, 2025

Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. They offer fast inference, support agentic workflows with Amazon Bedrock Knowledge Bases and RAG, and allow fine-tuning for text and multi-modal data.

APIs 127

APIs Metrics Best practices Construction 127

AWS Machine Learning

MARCH 19, 2025

In my decade working with customers data journeys, Ive seen that an organizations most valuable asset is its domain-specific data and expertise. The team deployed dozens of models on SageMaker AI endpoints, using Triton Inference Servers model concurrency capabilities to scale globally across AWS data centers.

Healthcare 144

Healthcare Enterprise APIs Transportation 144

AWS Machine Learning

OCTOBER 23, 2024

By using SnapLogic’s library of more than 800 pre-built connectors and data transformation capabilities, users can seamlessly integrate various data sources and AI models, dramatically accelerating the development process compared to traditional coding methods. Not anymore! The following demo shows Agent Creator in action.

Enterprise 92

Enterprise APIs Engineering Government 92

AWS Machine Learning

MARCH 26, 2025

When enterprises fine-tune curated models, they can specialize general-purpose solutions for their specific industry needs and gain competitive advantages through improved performance on their proprietary data. Modify your training job configurations like training data, instance type, and hyperparameters, and choose Submit.

APIs 111

APIs Enterprise Government Accountability 111

Momentum Telecom

JANUARY 31, 2025

However, the technology also comes with considerable data security and privacy concerns. Maximizing your investment in AI means navigating these roadblocks without compromising on privacy and data security for sensitive company info, customer data, and proprietary information.

Government 59

Government Education Enterprise APIs 59

AWS Machine Learning

JULY 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading artificial intelligence (AI) companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. Create and ingest data and metadata into the knowledge base. txt.metadata.json.

APIs 130

APIs Engineering Enterprise Management 130

AWS Machine Learning

NOVEMBER 22, 2024

Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. We can also quickly integrate flows with our applications using the SDK APIs for serverless flow execution — without wasting time in deployment and infrastructure management. Publish a working version of your guardrail.

APIs 125

APIs Chatbots Enterprise Customer centricity 125