Flipboard

MARCH 31, 2025

The enterprise AI landscape is undergoing a seismic shift as agentic systems transition from experimental tools to mission-critical business assets. In 2025, AI agents are expected to become integral to business operations, with Deloitte predicting that 25% of enterprises using generative AI will deploy AI agents, growing to 50% by 2027.

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AWS Machine Learning Blog

FEBRUARY 13, 2025

AI agents continue to gain momentum, as businesses use the power of generative AI to reinvent customer experiences and automate complex workflows. For this demo, weve implemented metadata filtering to retrieve only the appropriate level of documents based on the users access level, further enhancing efficiency and security.

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AWS Machine Learning Blog

MARCH 7, 2025

Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that enhances Retrieval-Augmented Generation (RAG) with graph data in Amazon Neptune Analytics. Reranking allows GraphRAG to refine and optimize search results.

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AWS Machine Learning Blog

JANUARY 7, 2025

When using the FAISS adapter, translation units are stored into a local FAISS index along with the metadata. The request is sent to the prompt generator. You can enhance this technique by using metadata-driven filtering to collect the relevant pairs according to the source text. Cohere Embed supports 108 languages.

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AWS Machine Learning Blog

OCTOBER 31, 2024

Amazon Q Business is a fully managed, generative AI-powered assistant designed to enhance enterprise operations. The Gmail connector for Amazon Q Business also supports the indexing of a rich set of metadata from the various entities in Gmail. These field mappings allow you to map Gmail field names to Amazon Q index field names.

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AWS Machine Learning Blog

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. These applications are a focus point for our generative AI efforts.

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AWS Machine Learning Blog

AUGUST 22, 2024

Building a deployment pipeline for generative artificial intelligence (AI) applications at scale is a formidable challenge because of the complexities and unique requirements of these systems. Generative AI models are constantly evolving, with new versions and updates released frequently.

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NVIDIA

MAY 23, 2024

SoftServe helps manufacturers like Continental to further optimize their operations by integrating the Universal Scene Description, or OpenUSD , framework into virtual factory solutions — such as Industrial Co-Pilot — developed on the NVIDIA Omniverse platform.

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AWS Machine Learning Blog

MAY 15, 2024

To help advertisers more seamlessly address this challenge, Amazon Ads rolled out an image generation capability that quickly and easily develops lifestyle imagery, which helps advertisers bring their brand stories to life. We end with lessons learned. This whole process starting from step 2 is orchestrated by AWS Step Functions.

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AWS Machine Learning Blog

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. eSentire used gigabytes of additional human investigation metadata to perform supervised fine-tuning on Llama 2.

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AWS Machine Learning Blog

MARCH 10, 2025

It became apparent that a cost-effective solution for our generative AI needs was required. Response performance and latency The success of generative AI-based applications depends on the response quality and speed. The use of multiple external cloud providers complicated DevOps, support, and budgeting.

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AWS Machine Learning Blog

DECEMBER 24, 2024

We use HuggingFaces Optimum-Neuron software development kit (SDK) to apply LoRA to fine-tuning jobs, and use SageMaker HyperPod as the primary compute cluster to perform distributed training on Trainium. About the Authors Georgios Ioannides is a Deep Learning Architect with the AWS Generative AI Innovation Center.

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AWS Machine Learning Blog

AUGUST 26, 2024

Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness. Use case overview Using generative AI, we built Account Summaries by seamlessly integrating both structured and unstructured data from diverse sources.

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AWS Machine Learning Blog

OCTOBER 27, 2023

Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. Enterprises are using generative AI specifically to power their marketing efforts through emails, push notifications, and other outbound communication channels.

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AWS Machine Learning Blog

AUGUST 14, 2024

Generative artificial intelligence (AI) provides the ability to take relevant information from a data source such as ServiceNow and provide well-constructed answers back to the user. Building a generative AI-based conversational application integrated with relevant data sources requires an enterprise to invest time, money, and people.

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deepsense.ai

SEPTEMBER 11, 2023

Instead of dreaming up dystopian visions, it is better to know the possibilities that AI tools like GitHub Copilot or ChatGPT open up to complement and streamline your workflow. Don’t give up on being a developer According to a 2019 report by the UK Office for National Statistics, software engineers face a 27.4%

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AWS Machine Learning Blog

JULY 29, 2024

Generative AI provides the ability to take relevant information from a data source and provide well-constructed answers back to the user. Building a generative AI-based conversational application that is integrated with the data sources that contain the relevant content an enterprise requires time, money, and people.

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AWS Machine Learning Blog

AUGUST 28, 2024

Additionally, reducing the developer context switching that stems from frequent interactions with many different development tools can also increase developer productivity. Amazon Q Business is a fully managed, generative AI–powered assistant designed to enhance enterprise operations.

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AWS Machine Learning Blog

JULY 24, 2024

Amazon Q is a fully managed, generative artificial intelligence (AI) powered assistant that you can configure to answer questions, provide summaries, generate content, gain insights, and complete tasks based on data in your enterprise. You also need to hire and staff a large team to build, maintain and manage such a system.

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AWS Machine Learning Blog

AUGUST 14, 2024

Additionally, they want access to metadata, timestamps, and access control lists (ACLs) for the indexed documents. Crawling stage The first stage is the crawling stage, where the connector crawls all documents and their metadata from the data source. The following diagram shows a flowchart of a sync run job.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

You then format these pairs as individual text files with corresponding metadata JSON files , upload them to an S3 bucket, and ingest them into your cache knowledge base. Chaithanya Maisagoni is a Senior Software Development Engineer (AI/ML) in Amazons Worldwide Returns and ReCommerce organization.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

In AWS, these model lifecycle activities can be performed over multiple AWS accounts (for example, development, test, and production accounts) at the use case or business unit level. It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. Madhubalasri B.

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AWS Machine Learning Blog

FEBRUARY 28, 2025

This post explains how to integrate Smartsheet with Amazon Q Business to use natural language and generative AI capabilities for enhanced insights. Smartsheet, the AI-enhanced enterprise-grade work management platform, helps users manage projects, programs, and processes at scale.

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AWS Machine Learning Blog

FEBRUARY 5, 2025

He has specialization in data strategy, machine learning and Generative AI. He has a specialization in machine learning and generative AI. He is passionate about creating scalable AI systems that drive innovation and user impact.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

At AWS re:Invent 2024, we launched a new innovation in Amazon SageMaker HyperPod on Amazon Elastic Kubernetes Service (Amazon EKS) that enables you to run generative AI development tasks on shared accelerated compute resources efficiently and reduce costs by up to 40%. queue-name: hyperpod-ns-researchers-localqueue kueue.x-k8s.io/priority-class:

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AWS Machine Learning Blog

FEBRUARY 11, 2025

The integration of generative AI capabilities is driving transformative changes across many industries. This solution demonstrates how to create an AI-powered virtual meteorologist that can answer complex weather-related queries in natural language.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Organizations generate vast amounts of data that is proprietary to them, and it’s critical to get insights out of the data for better business outcomes. Generative AI and foundation models (FMs) play an important role in creating applications using an organization’s data that improve customer experiences and employee productivity.

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AWS Machine Learning Blog

AUGUST 8, 2024

Amazon Q Business is a fully managed generative AI-powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Amazon Q supports the crawling and indexing of these custom objects and custom metadata.

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AWS Machine Learning Blog

JUNE 8, 2023

However, businesses can meet this challenge while providing personalized and efficient customer service with the advancements in generative artificial intelligence (generative AI) powered by large language models (LLMs). Generative AI chatbots have gained notoriety for their ability to imitate human intellect.

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AWS Machine Learning Blog

APRIL 7, 2025

Repository Information**: Not shown in the provided excerpt, but likely contains metadata about the repository. Specialist Solutions Architect focused on generative AI strategy, applied AI solutions, and conducting research to help customers hyper-scale on AWS. His area of focus is AWS AI accelerators (AWS Neuron).

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AssemblyAI

DECEMBER 18, 2023

Large Language Models (LLMs) , another component of Speech AI, are powerful AI models that have a robust understanding of general-purpose language and communication. 5 benefits of Speech AI for LMS platforms Learning management systems comprise a variety of functions and tools for users of all kinds.  

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NVIDIA

JUNE 7, 2024

Additionally, the company could use multiple AI models at the same time on the same set of images without having to send data back and forth over a network, which saved on data transfer costs and improved performance. However, the value of this imagery can be limited if it lacks specific location metadata.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

This Lambda function identifies CTR records and provides an additional processing step that outputs an enhanced transcript containing additional metadata such as queue and agent ID information, IVR identification and tagging, and how many agents (and IVRs) the customer was transferred to, all aggregated from the CTR records.

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AWS Machine Learning Blog

JANUARY 9, 2024

Amazon Q is a new generative AI-powered application that helps users get work done. You can use Amazon Q to have conversations, solve problems, generate content, gain insights, and take action by connecting to your company’s information repositories, code, data, and enterprise systems.

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AWS Machine Learning Blog

JULY 6, 2023

The open-source Custom Connector SDK enables the development of a private, shared, or public connector using Python or Java. SaaS platform SDK – If the SaaS platform has an SDK (Software Development Kit), such as a Python SDK, this can be used to access data directly from a SageMaker notebook.

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AWS Machine Learning Blog

JUNE 25, 2024

With Amazon Bedrock, developers can experiment, evaluate, and deploy generative AI applications without worrying about infrastructure management. Its enterprise-grade security, privacy controls, and responsible AI features enable secure and trustworthy generative AI innovation at scale.

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