IBM Journey to AI blog

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Monitor, catalog and govern models from anywhere across your AI’s lifecycle.

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AWS Machine Learning Blog

FEBRUARY 12, 2025

You can use metadata filtering to narrow down search results by specifying inclusion and exclusion criteria. Responsible AI Implementing responsible AI practices is crucial for maintaining ethical and safe deployment of RAG systems. You can use Amazon Bedrock Guardrails for implementing responsible AI policies.

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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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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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AWS Machine Learning Blog

SEPTEMBER 13, 2024

In industries like insurance, where unpredictable scenarios are the norm, traditional automation falls short, leading to inefficiencies and missed opportunities. This enables a quicker response and more accurate decision-making. Intricate workflows that require dynamic and complex API orchestration can often be complex to manage.

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AWS Machine Learning Blog

MAY 7, 2024

With a decade of enterprise AI experience, Veritone supports the public sector, working with US federal government agencies, state and local government, law enforcement agencies, and legal organizations to automate and simplify evidence management, redaction, person-of-interest tracking, and eDiscovery.

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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. About the Authors Dheer Toprani is a System Development Engineer within the Amazon Worldwide Returns and ReCommerce Data Services team.

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The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

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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 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.

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AWS Machine Learning Blog

MAY 21, 2024

This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges. At 20 Minutes, a key goal of our technology team is to develop new tools for our journalists that automate repetitive tasks, improve the quality of reporting, and allow us to reach a wider audience. Why Amazon Bedrock?

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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

MARCH 5, 2025

The examples focus on questions on chunk-wise business knowledge while ignoring irrelevant metadata that might be contained in a chunk. Scaling ground truth generation with a pipeline To automate ground truth generation, we provide a serverless batch pipeline architecture, shown in the following figure. 201% $12.2B

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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

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

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. This post explores an innovative application of large language models (LLMs) to automate the process of customer review analysis.

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AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. jpg and the complete metadata from styles/38642.json. From here, we can fetch the image for this product from images/38642.jpg

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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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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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John Snow Labs

FEBRUARY 18, 2025

10am-12pm PT, Wednesday, March 5: The Medical Research Agent (CarahSoft booth #2216) David will demonstrate state-of-the-art accuracy of the Medical Research Agent medical LLM, automated systematic reviews, and question answering on private and public knowledge bases.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. A special report published by Thompson Reuters reported that generative AI awareness is significantly higher among legal professionals, with 91% of respondents saying they have heard of or read about these tools.

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John Snow Labs

SEPTEMBER 19, 2024

The award, totaling $299,208 for one year, will be used for research and development of LLMs for automated named entity recognition (NER), relation extraction, and ontology metadata enrichment from free-text clinical notes.

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Flipboard

JULY 31, 2023

How content teams approach using AI for content development AI has been a double-edged sword for many content and creative teams. On the one hand, over 55 percent of Bynder’s clients said they are using AI to automate time-consuming tasks to boost productivity.

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AWS Machine Learning Blog

SEPTEMBER 26, 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 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

JUNE 20, 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.

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ODSC - Open Data Science

FEBRUARY 25, 2025

Generative AI TrackBuild the Future with GenAI Generative AI has captured the worlds attention with tools like ChatGPT, DALL-E, and Stable Diffusion revolutionizing how we create content and automate tasks. This track will guide you in aligning AI systems with ethical standards and minimizing bias.

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Unite.AI

JANUARY 23, 2024

Hybrid retrieval combines dense embeddings and sparse keyword metadata for improved recall. Cohere provides a studio for automating LLM workflows with a GUI, REST API and Python SDK. Responsible AI tooling remains an active area of innovation.

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AWS Machine Learning Blog

MARCH 2, 2023

W&B Sweeps is a powerful tool to automate hyperparameter optimization. W&B Sweeps will automate this kind of exploration. Ilan Gleiser is a Principal Global Impact Computing Specialist at AWS leading the Circular Economy, Responsible AI and ESG businesses.

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ODSC - Open Data Science

OCTOBER 22, 2024

Be My Eyes will ensure that all personal information is removed from metadata before sharing, offering users clear options to opt out of data sharing. Responsible AI: A Commitment to Inclusivity Microsoft’s approach to AI has always been centered on responsibility and inclusivity.

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AWS Machine Learning Blog

JUNE 3, 2024

Amazon Bedrock is a fully managed service that provides access to a range of high-performing foundation models from leading AI companies through a single API. It offers the capabilities needed to build generative AI applications with security, privacy, and responsible AI.

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ODSC - Open Data Science

DECEMBER 16, 2024

Heres how itworks: Facet Extraction: Conversations are analyzed to extract metadata like topics or languageused. This automated process is powered entirely by Claude, ensuring no human access to raw data. Unlike traditional methods, Clio employs a bottom-up discovery process, analyzing conversations without exposing sensitive details.

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Flipboard

MARCH 23, 2023

It’s clear that ChatGPT is not your run-of-the-mill automated chat server. We all know that ChatGPT is some kind of an AI bot that has conversations (chats). Customer service Over the past few years, a lot of work has gone into automating customer service. It can pretend to be an operating system. Or a text adventure game.

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Snorkel AI

MARCH 2, 2023

In terms of technology: generating code snippets, code translation, and automated documentation. The responsible AI measures pertaining to safety and misuse and robustness are elements that need to be additionally taken into consideration. The natural chatbot conversational agent, our contact center comes to mind.

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Snorkel AI

MARCH 2, 2023

In terms of technology: generating code snippets, code translation, and automated documentation. The responsible AI measures pertaining to safety and misuse and robustness are elements that need to be additionally taken into consideration. The natural chatbot conversational agent, our contact center comes to mind.

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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 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

NOVEMBER 30, 2023

It also integrates with Machine Learning and Operation (MLOps) workflows in Amazon SageMaker to automate and scale the ML lifecycle. Here you can provide the metadata for this model hosting information along with the input format/template your specific model expects. What is FMEval? In his spare time, he loves traveling and writing.

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