IBM Journey to AI blog

AUGUST 17, 2023

This year, the USTA is using watsonx , IBM’s new AI and data platform for business. Bringing together traditional machine learning and generative AI with a family of enterprise-grade, IBM-trained foundation models, watsonx allows the USTA to deliver fan-pleasing, AI-driven features much more quickly.

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AWS Machine Learning Blog

JULY 18, 2024

However, information about one dataset can be in another dataset, called metadata. Without using metadata, your retrieval process can cause the retrieval of unrelated results, thereby decreasing FM accuracy and increasing cost in the FM prompt token. This change allows you to use metadata fields during the retrieval process.

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Metadata Data Scientist Generative AI Artificial Intelligence 120

Unite.AI

AUGUST 28, 2024

Not all AI is equal. Deep learning (DL), the most advanced form of AI, is the only technology capable of preventing and explaining known and unknown zero-day threats. Deep Instinct recently launched DIANNA, the first generative AI-powered cybersecurity assistant.

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AWS Machine Learning Blog

MARCH 7, 2025

This capability enhances responses from generative AI applications by automatically creating embeddings for semantic search and generating a graph of the entities and relationships extracted from ingested documents. You can also supply a custom metadata file (each up to 10 KB) for each document in the knowledge base.

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Auto-complete Natural Language Processing Metadata Explainability 120

AWS Machine Learning Blog

APRIL 7, 2025

Developing generative AI agents that can tackle real-world tasks is complex, and building production-grade agentic applications requires integrating agents with additional tools such as user interfaces, evaluation frameworks, and continuous improvement mechanisms.

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AWS Machine Learning Blog

APRIL 3, 2025

The second post dives into the AWS architecture that powers AI Workforce, and the third focuses on the drone setup and integration. While drones communicate directly with AWS IoT Core, user-facing applications and automation workflows rely on API Gateway to access structured data and trigger specific actions within the AI Workforce ecosystem.

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AWS Machine Learning Blog

NOVEMBER 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, Mistral AI, Stability AI, and Amazon through a single API. However, we’re not limited to using generative AI for only software engineering.

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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. Generative AI chatbots have been known to insult customers and make up facts.

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IBM Journey to AI blog

JANUARY 8, 2024

With digitization adopted by law firms and court systems, a trove of data in the form of court opinions, statutes, regulations, books, practice guides, law reviews, legal white papers and news reports are available to be used to train both traditional and generative AI foundation models by judicial agencies.

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IBM Journey to AI blog

MAY 9, 2023

Suddenly, everybody is talking about generative AI: sometimes with excitement, other times with anxiety. The answer is that generative AI leverages recent advances in foundation models. Watsonx, IBM’s next-generation AI platform, is designed to do just that. But why now?

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IBM Journey to AI blog

FEBRUARY 8, 2024

For industries providing essential services to clients such as insurance, banking and retail, the law requires the use of a fundamental rights impact assessment that details how the use of AI will affect the rights of customers. Not complying with the EU AI Act can be costly: 7.5 million euros or 1.5%

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AWS Machine Learning Blog

DECEMBER 5, 2024

As generative AI continues to drive innovation across industries and our daily lives, the need for responsible AI has become increasingly important. At AWS, we believe the long-term success of AI depends on the ability to inspire trust among users, customers, and society.

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Responsible AI AI Tools AI AI 104

Flipboard

OCTOBER 25, 2023

Solution overview Data and metadata discovery is one of the primary requirements in data analytics, where data consumers explore what data is available and in what format, and then consume or query it for analysis. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

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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

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale.

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AssemblyAI

AUGUST 31, 2023

The metadata contains the full JSON response of our API with more meta information: print(docs[0].metadata) "), ] result = transcript.lemur.question(questions) Conclusion This tutorial explained how to use the AssemblyAI integration that was added to the LangChain Python framework in version 0.0.272.

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IBM Journey to AI blog

DECEMBER 4, 2023

The AI Ethics Board: a central, cross-disciplinary body that supports a centralized governance, review and decision-making process for IBM ethics policies, practices, communications, research, products and services. The Board recently published its point of view on foundation models addressing the risks that generative AI poses.

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Metadata AI AI Explainable AI 228

Marktechpost

MAY 30, 2024

Inspect Rich Documents with Gemini Multimodality and Multimodal RAG This course covers using multimodal prompts to extract information from text and visual data and generate video descriptions with Gemini. It also includes guidance on using Google Tools to develop your own Generative AI applications.

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AWS Machine Learning Blog

JUNE 13, 2023

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The latest offering for generative AI from AWS is Amazon Bedrock , which is a fully managed service and the easiest way to build and scale generative AI applications with foundation models.

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AWS Machine Learning Blog

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. Therefore, collecting comprehensive and high-quality metadata also remains a challenge. We use Anthropic Claude v2.1 on Amazon Bedrock as our LLM.

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AWS Machine Learning Blog

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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Unite.AI

JUNE 13, 2024

From the beginning, we knew a Knowledge Graph (KG) would be critical for advancing AI capabilities. With the rise of generative AI, our customers wanted AI solutions that could interact with their data conversationally. A significant challenge in AI applications today is explainability.

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Explainability Data Integration Metadata Generative AI 130

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. Then, moves to a more complex NN with one hidden layer, explaining its forward and backward training processes in detail. Our must-read articles 1.

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AWS Machine Learning Blog

MARCH 13, 2025

The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. This post will discuss agentic AI driven architecture and ways of implementing. This post will discuss agentic AI driven architecture and ways of implementing.

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AWS Machine Learning Blog

MARCH 20, 2025

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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Automation DevOps Metadata Generative AI 84

AWS Machine Learning Blog

NOVEMBER 14, 2024

This includes: Risk assessment : Identifying and evaluating potential risks associated with AI systems. Transparency and explainability : Making sure that AI systems are transparent, explainable, and accountable. Human oversight : Including human involvement in AI decision-making processes.

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ML Machine Learning Auto-complete Auto-classification 91

Flipboard

AUGUST 6, 2023

Jupyter AI, an official subproject of Project Jupyter, brings generative artificial intelligence to Jupyter notebooks. It allows users to explain and generate code, fix errors, summarize content, and even generate entire notebooks from natural language prompts.

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AWS Machine Learning Blog

NOVEMBER 15, 2024

Each category necessitates specialized generative AI-powered tools to generate insights. Multimodal RAG An emerging trend in generative AI is multimodality, with models that can use text, images, audio, and video. Specifically, the generated image description is embedded using a traditional text embedding (e.g.

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AWS Machine Learning Blog

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

Metadata 122

Metadata LLM NLP Conversational AI 122

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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Unite.AI

JUNE 18, 2024

Hour One revolutionizes content creation for businesses by centralizing workflows in one AI-powered platform. Our focus was on how human interaction and communication could be extended and modified with generative AI—a term that wasn’t very popular at the time, if you can believe it. Several methods can address this concern.

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Explainability Metadata Generative AI AI 130

Flipboard

DECEMBER 11, 2024

SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI. Discover your data and put it to work using familiar AWS tools to complete end-to-end development workflows, including data analysis, data processing, model training, generative AI app building, and more, in a single governed environment.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

The contents of the LAYOUT_TITLE or LAYOUT_SECTION_HEADER , along with the reading order, can be used to appropriately tag or enrich metadata. However, in this post we explain how to extract layout elements in order to help understand how to use the feature for traditional documentation automation solutions.

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ODSC - Open Data Science

MARCH 27, 2023

Implementing Generative AI in Organisations: Challenges and Opportunities Heiko Hotz | Senior Solutions Architect for AI & Machine Learning | AWS This talk will focus on the challenges and opportunities of implementing generative AI, which saw significant advances in the past year, in organizations.

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AWS Machine Learning Blog

MAY 22, 2024

With the advancement of Generative AI , we can use vision-language models (VLMs) to predict product attributes directly from images. You can use a managed service, such as Amazon Rekognition , to predict product attributes as explained in Automating product description generation with Amazon Bedrock.

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AWS Machine Learning Blog

SEPTEMBER 27, 2024

Uploading the preceding architecture diagram to the web application generates a step-by-step explanation of the diagram using Anthropic’s Claude 3 Sonnet’s vision capabilities. The generated response is divided into three parts: The context explains what the architecture diagram depicts. csv files are uploaded.

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Metadata Generative AI LLM Large Language Models 120