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 invoked Lambda function creates new job entries in a DynamoDB table with the status as Pending.

Automation 128

Automation Generative AI Metadata Data Scientist 128

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.

Metadata 135

Metadata Generative AI Machine Learning Large Language Models 135

IBM Journey to AI blog

SEPTEMBER 5, 2024

Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Automation can significantly improve efficiency and reduce errors.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

ESG 259

ESG Metadata AI AI 259

AWS Machine Learning Blog

MAY 4, 2023

Simple methods for time series forecasting use historical values of the same variable whose future values need to be predicted, whereas more complex, machine learning (ML)-based methods use additional information, such as the time series data of related variables. For more information, refer to Training Predictors.

Automation 132

Automation Metadata Data Ingestion Data Scientist 132

IBM Journey to AI blog

APRIL 1, 2024

From specifying business units, domains, teams and other information about your developer landscape, Backstage can start associating those resources together. Automation and i ntegration for routine tasks through integration with various CI/CD and monitoring tools, including through a growing community of plug-ins.

Software Development 232

Software Development Software Engineer Automation Metadata 232

AWS Machine Learning Blog

MAY 30, 2024

To serve their customers, Vitech maintains a repository of information that includes product documentation (user guides, standard operating procedures, runbooks), which is currently scattered across multiple internal platforms (for example, Confluence sites and SharePoint folders). langsmith==0.0.43 pgvector==0.2.3 streamlit==1.28.0

Chatbots 129

Chatbots Prompt Engineering Prompt Engineer Large Language Models 129

IBM Journey to AI blog

APRIL 20, 2023

This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change? Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times.

ETL 217

ETL Data Discovery Automation Metadata 217

IBM Journey to AI blog

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Most of today’s largest foundation models, including the large language model (LLM) powering ChatGPT, have been trained on information culled from the internet. But how trustworthy is that training data?

Metadata 220

Metadata Explainability Automation Explainable AI 220

IBM Journey to AI blog

AUGUST 17, 2023

It will help them operationalize and automate governance of their models to ensure responsible, transparent and explainable AI workflows, identify and mitigate bias and drift, capture and document model metadata and foster a collaborative environment.

Generative AI 246

Generative AI Metadata AI AI 246

IBM Journey to AI blog

JUNE 28, 2024

In addition to these capabilities, generative AI can revolutionize drive tests, optimize network resource allocation, automate fault detection, optimize truck rolls and enhance customer experience through personalized services. Operators and suppliers are already identifying and capitalizing on these opportunities.

Generative AI 216

Generative AI Automation Large Language Models AI 216

AWS Machine Learning Blog

MAY 7, 2024

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Prompt Engineer 121

Prompt Engineer Prompt Engineering Large Language Models LLM 121

Unite.AI

JANUARY 9, 2024

While it’s true that AI has enabled the automation of many RCM tasks, the promise of fully autonomous systems remains unfulfilled. Building a robust data foundation is critical, as the underlying data model with proper metadata, data quality, and governance is key to enabling AI to achieve peak efficiencies.

Metadata 290

Metadata AI AI AI Tools 290

AWS Machine Learning Blog

FEBRUARY 10, 2025

Crop.photo from Evolphin Software is a cloud-based service that offers powerful bulk processing tools for automating image cropping, content resizing, background removal, and listing image analysis. This is where Crop.photos smart automations come in with an innovative solution for high-volume image processing needs.

Automation 84

Automation Computer Vision Metadata Generative AI 84

IBM Journey to AI blog

OCTOBER 30, 2024

Moreover, LRRs and other industry frameworks, such as the National Institute of Standards and Technology (NIST), Information Technology Infrastructure Library (ITIL), and Control Objectives for Information and Related Technologies (COBIT), are constantly evolving.

Prompt Engineering 238

Prompt Engineering Prompt Engineer ETL Machine Learning 238

AWS Machine Learning Blog

JUNE 25, 2024

For more information, see Customize models in Amazon Bedrock with your own data using fine-tuning and continued pre-training. This provides an automated deployment experience on your AWS account. For more information, refer to Prompt engineering. We provide a prompt example for feedback categorization.

Automation 125

Automation Prompt Engineering Prompt Engineer Categorization 125

AWS Machine Learning Blog

NOVEMBER 14, 2024

The results are shown in a Streamlit app, with the invoices and extracted information displayed side-by-side for quick review. After uploading, you can set up a regular batch job to process these invoices, extract key information, and save the results in a JSON file. Importantly, your document and data are not stored after processing.

Automation 109

Automation Python Generative AI Metadata 109

AI News

DECEMBER 9, 2024

Cisco’s 2024 Data Privacy Benchmark Study revealed that 48% of employees admit to entering non-public company information into GenAI tools (and an unknown number have done so and won’t admit it), leading 27% of organisations to ban the use of such tools. The best way to reduce the risks is to limit access to sensitive data.

Explainability 277

Explainability AI AI LLM 277

Unite.AI

JANUARY 30, 2025

The platform automatically analyzes metadata to locate and label structured data without moving or altering it, adding semantic meaning and aligning definitions to ensure clarity and transparency. When onboarding customers, we automatically retrain these ontologies on their metadata. Even defining it back then was a tough task.

Automation 147

Automation Metadata Explainability Data Scientist 147

Flipboard

FEBRUARY 11, 2025

Amazon Q Business , a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprises systems. Furthermore, it might contain sensitive data or personally identifiable information (PII) requiring redaction.

Data Ingestion 155

Data Ingestion Metadata Generative AI Machine Learning 155

Unite.AI

MAY 3, 2024

Self-managed content refers to the use of AI and neural networks to simplify and strengthen the content creation process via smart tagging, metadata templates, and modular content. Role of AI and neural networks in self-management of digital assets Metadata is key in the success of self-managing content.

Neural Network 147

Neural Network Metadata Categorization Automation 147

IBM Journey to AI blog

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) This allows for a high degree of transparency and auditability.

Data Scientist 234

Data Scientist Metadata Responsible AI Explainability 234

AssemblyAI

APRIL 3, 2024

AI notetakers that can now generate highly accurate and hallucination-free meeting notes to serve as the basis for LLM-powered summaries, action items, and other metadata generation with accurate proper noun, speaker, and timing information included.

Metadata 347

Metadata OpenAI Automation AI Modeling 347

IBM Journey to AI blog

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. It uses metadata and data management tools to organize all data assets within your organization. Weeks pass by until the IT team locates and masks the data. Speed and self-service.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

IBM Journey to AI blog

JULY 13, 2023

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. When an underlying machine learning model is being trained on data records that are trustworthy and accurate, the better that model will be at making business predictions or automating tasks.

Data Quality 187

Data Quality Data Integration Metadata Automation 187

Unite.AI

SEPTEMBER 14, 2023

Blockchain : A distributed and immutable ledger that securely stores data and information in a decentralized and trusted manner. Enhanced Data Security A major reason behind blockchain’s immense popularity is that it offers a highly safe & secure method to store information on the web.

AI 319

AI AI Algorithm Deep Learning 319

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. By using prompt instructions and API descriptions, agents collect essential information from API schemas to solve specific problems efficiently.

Metadata 130

Metadata Automation LLM NLP 130

IBM Journey to AI blog

FEBRUARY 8, 2024

of a company’s total worldwide annual turnover (whichever is higher) for the supply of incorrect information. It employs software automation to strengthens the ability to mitigate risks, manage regulatory requirements, and govern the lifecycle for both generative AI and predictive machine learning (ML) models.

Artificial Intelligence 223

Artificial Intelligence Artificial Intelligence AI AI 223

IBM Journey to AI blog

MARCH 29, 2024

Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata. They serve as historical data that can present general performance information, show when set thresholds are surpassed, or display errors.

DevOps 243

DevOps Software Development Automation Metadata 243

IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

Machine Learning 186

Machine Learning Metadata Automation AI 186

AWS Machine Learning Blog

AUGUST 2, 2023

Images can often be searched using supplemented metadata such as keywords. However, it takes a lot of manual effort to add detailed metadata to potentially thousands of images. Generative AI (GenAI) can be helpful in generating the metadata automatically. This helps us build more refined searches in the image search process.

Automation 98

Automation Generative AI Metadata Data Scientist 98

IBM Journey to AI blog

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

Computer Vision 247

Computer Vision Robotics NLP Automation 247

Flipboard

APRIL 6, 2023

Team Whistle is using AI to generate metadata for its videos on social platforms like TikTok and YouTube and claimed more of these videos have gone viral, which evp of content Noah Weissman credits in part to the technology. One TikTok video that Team Whistle used AI to help with research, metadata and scripting has over 176,000 views.

AI Tools 174

AI Tools Generative AI Metadata Chatbots 174

IBM Journey to AI blog

OCTOBER 14, 2024

This preprocessing pipeline should minimize information loss between the original content and the LLM-ready version. Unstructured enables companies to transform their unstructured data into a standardized format, regardless of file type, and enrich it with additional metadata.

Business Intelligence 195

Business Intelligence AI AI Automation 195

AWS Machine Learning Blog

NOVEMBER 13, 2024

You can now register machine learning (ML) models in Amazon SageMaker Model Registry with Amazon SageMaker Model Cards , making it straightforward to manage governance information for specific model versions directly in SageMaker Model Registry in just a few clicks.

Metadata 112

Metadata ML Software Engineer Machine Learning 112

Unite.AI

JUNE 11, 2024

They aim to decrypt or recover as much hidden or deleted information as possible. Since devices store information every time their user downloads something, visits a website or creates a post, a sort of electronic paper trail exits. Automate Processes Automation is one of AI’s greatest capabilities.

NLP 147

NLP Automation AI AI 147

AWS Machine Learning Blog

SEPTEMBER 8, 2023

Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Finding the image that best matches an article in repositories of this scale can be a time-consuming, repetitive, manual task that can be automated.

Metadata 123

Metadata Automation Natural Language Processing ML 123