IBM Journey to AI blog

JULY 9, 2024

Strong data governance is foundational to robust artificial intelligence (AI) governance. Companies developing or deploying responsible AI must start with strong data governance to prepare for current or upcoming regulations and to create AI that is explainable, transparent and fair.

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AWS Machine Learning Blog

OCTOBER 29, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. Capture and document model metadata for report generation.

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AWS Machine Learning Blog

OCTOBER 29, 2024

It stores information such as job ID, status, creation time, and other metadata. The following is a screenshot of the DynamoDB table where you can track the job status and other types of metadata related to the job. The DynamoDB table is crucial for tracking and managing the batch inference jobs throughout their lifecycle.

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IBM Journey to AI blog

APRIL 11, 2024

Evaluate inventory beyond algorithmic impact assessments Many organizations that develop many AI models rely on algorithmic impact assessment forms as their primary mechanism to gather important metadata about their inventory and assess and mitigate the risks of AI models before they are deployed.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

In this second part, we expand the solution and show to further accelerate innovation by centralizing common Generative AI components. We also dive deeper into access patterns, governance, responsible AI, observability, and common solution designs like Retrieval Augmented Generation. This logic sits in a hybrid search component.

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IBM Journey to AI blog

DECEMBER 4, 2023

In addition, the CPO AI Ethics Project Office supports all of these initiatives, serving as a liaison between governance roles, supporting implementation of technology ethics priorities, helping establish AI Ethics Board agendas and ensuring the board is kept up to date on industry trends and company strategy.

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ODSC - Open Data Science

MARCH 31, 2025

Each text, including the rotated text on the left of the page, is identified and extracted as a stand-alone text element with coordinates and other metadata that makes it possible to render a document very close to the original PDF but from a structured JSONformat.

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AWS Machine Learning Blog

MARCH 25, 2025

The Amazon Bedrock evaluation tool provides a comprehensive assessment framework with eight metrics that cover both response quality and responsible AI considerations. Implement metadata filtering , adding contextual layers to chunk retrieval. For example, prioritizing recent information in time-sensitive scenarios.

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AWS Machine Learning Blog

MAY 7, 2024

Veritone is an artificial intelligence (AI) company based in Irvine, California. Founded in 2014, Veritone empowers people with AI-powered software and solutions for various applications, including media processing, analytics, advertising, and more. The metadata is generated at the shot level for a video.

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AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. The solution notes the logged actions per individual and provides suggested actions for the uploader.

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AWS Machine Learning Blog

SEPTEMBER 13, 2024

Set up the policy documents and metadata in the data source for the knowledge base We use Amazon Bedrock Knowledge Bases to manage our documents and metadata. Upload a few insurance policy documents and metadata documents to the S3 bucket to mimic the naming conventions as shown in the following screenshot.

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ODSC - Open Data Science

AUGUST 24, 2023

Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices Editor’s note: Jayachandran Ramachandran and Rohit Sroch are speakers for ODSC APAC this August 22–23. As LLMs become integral to AI applications, ethical considerations take center stage.

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AWS Machine Learning Blog

AUGUST 9, 2024

The embedding representations of text chunks along with related metadata are indexed in OpenSearch Service. In this step, the user asks a question about the ingested documents and expects a response in natural language. The application uses Amazon Textract to get the text and tables from the input documents.

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NVIDIA

MAY 1, 2024

Gemma was developed from the same research and technology used to create the company’s Gemini models and is built for responsible AI development. With CLIP support in ChatRTX, users can interact with photos and images on their local devices through words, terms and phrases, without the need for complex metadata labeling.

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AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. For information about model pricing, refer to Amazon Bedrock pricing.

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Marktechpost

AUGUST 7, 2024

Artificial Intelligence (AI) has rapidly advanced, revolutionizing various sectors by performing tasks that require human intelligence, such as learning, reasoning, and problem-solving. Improvements in machine learning algorithms, computational capabilities, and the availability of large datasets drive these advancements.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

However, model governance functions in an organization are centralized and to perform those functions, teams need access to metadata about model lifecycle activities across those accounts for validation, approval, auditing, and monitoring to manage risk and compliance. An experiment collects multiple runs with the same objective.

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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.

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AWS Machine Learning Blog

NOVEMBER 14, 2024

structured: | Process the pdf invoice and list all metadata and values in json format for the variables with descriptions in tags. In this post, we provide a step-by-step guide with the building blocks needed for creating a Streamlit application to process and review invoices from multiple vendors.

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Towards AI

AUGUST 8, 2024

Manifest relies on runtime metadata, such as a function’s name, docstring, arguments, and type hints. It uses this metadata to compose a prompt and sends it to an LLM. Feedback Loops in Generative AI: How AI May Shoot Itself in the Foot by Anthony Demeusy Generative AI can enhance creativity, but beware of feedback loops!

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AWS Machine Learning Blog

FEBRUARY 19, 2025

metadata: name: job-name namespace: hyperpod-ns-researchers labels: kueue.x-k8s.io/queue-name: To maximize resource utilization within budget constraints, SageMaker HyperPod task governance allows enterprises to allocate compute quotas to teams for artificial intelligence and machine learning (AI/ML) tasks.

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AWS Machine Learning Blog

OCTOBER 27, 2023

Generative artificial intelligence is transforming how enterprises do business. Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. Technical Product Manager working with AWS AI/ML on the Amazon Personalize team.

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AWS Machine Learning Blog

APRIL 8, 2025

In this post, we explore how to use Amazon Bedrock for synthetic data generation, considering these challenges alongside the potential benefits to develop effective strategies for various applications across multiple industries, including AI and machine learning (ML). Incorporate rare events and edge cases at appropriate frequencies.

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AWS Machine Learning Blog

MAY 21, 2024

As 20 Minutes’s technology team, we’re responsible for developing and operating the organization’s web and mobile offerings and driving innovative technology initiatives. This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges.

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AWS Machine Learning Blog

OCTOBER 2, 2024

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral 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.

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AWS Machine Learning Blog

AUGUST 5, 2024

Finding relevant content usually requires searching through text-based metadata such as timestamps, which need to be manually added to these files. For example, for the S3 object AI-Accelerators.json, we tag it with key = “title” and value = “Episode 20: AI Accelerators in the Cloud.”

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AWS Machine Learning Blog

JUNE 11, 2024

Artificial intelligence (AI) has revolutionized the way organizations function, paving the way for automation and improved efficiency in various tasks that were traditionally manual. One of these use cases is using AI in security organizations to improve security processes and increase your overall security posture.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). To address this issue, AWS used AI/ML and search engines to provide a managed service where users can ask a human-like, open-ended generative AI-powered assistant to answer questions based on data and information.

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Flipboard

JULY 31, 2023

Artificial intelligence tools have become more accessible to non-technical users – even if they don’t always recognize it. If you’ve ever checked your work with Grammarly or recorded a meeting with Otter, you’ve used AI.

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AWS Machine Learning Blog

JULY 19, 2023

Model cards are intended to be a single source of truth for business and technical metadata about the model that can reliably be used for auditing and documentation purposes. The model registry supports a hierarchical structure for organizing and storing ML models with model metadata information.

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ODSC - Open Data Science

APRIL 17, 2023

In this case, the provenance of the collected data is analyzed and the metadata is logged for future audit purposes. A new wave of regulations and guidelines specifically targeting AI have started emerging, thereby promoting responsible AI and model governance.

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AWS Machine Learning Blog

MAY 21, 2024

The solution intends to address these limitations for practical generative artificial intelligence (AI) assistant use cases. For tables, the system retrieves relevant table locations and metadata, and computes the cosine similarity between the multimodal embedding and the vectors representing the table and its summary.

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AWS Machine Learning Blog

AUGUST 21, 2024

The latest advances in generative artificial intelligence (AI) allow for new automated approaches to effectively analyze large volumes of customer feedback and distill the key themes and highlights. As a result, customer pain points can go unnoticed and problems can escalate.

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AWS Machine Learning Blog

JULY 30, 2024

With Amazon Bedrock, you can experiment with and evaluate top FMs for various use cases.

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NVIDIA

JANUARY 6, 2025

The AI models have also been optimized and packaged for maximum performance with NVIDIA NIM microservices. Bria is a commercial-first visual generative AI platform designed for developers. Its trained on 100% licensed data and built on responsible AI principles.

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AWS Machine Learning Blog

JUNE 20, 2024

Given these challenges faced by RAG systems, monitoring and evaluating generative artificial intelligence (AI) applications powered by RAG is essential. Ioan Catana is a Senior Artificial Intelligence and Machine Learning Specialist Solutions Architect at AWS.

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