IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 187

Data Quality Data Integration Metadata Automation 187

Flipboard

NOVEMBER 14, 2023

Modern data quality practices leverage advanced technologies, automation, and machine learning to handle diverse data sources, ensure real-time processing, and foster collaboration across stakeholders.

Data Quality 145

Data Quality Machine Learning Automation Big Data 145

Unite.AI

DECEMBER 27, 2024

Its not a choice between better data or better models. The future of AI demands both, but it starts with the data. Why Data Quality Matters More Than Ever According to one survey, 48% of businesses use big data , but a much lower number manage to use it successfully. Why is this the case?

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

Pickl AI

FEBRUARY 17, 2025

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. It uses predictive modelling to forecast future events and adaptiveness to improve with new data, plus generalization to analyse fresh data.

Machine Learning 52

Machine Learning Algorithm Explainability Data Quality 52

Unite.AI

NOVEMBER 20, 2024

With daily advancements in machine learning , natural language processing , and automation, many of these companies identify as “cutting-edge,” but struggle to stand out. As of 2024, there are approximately 70,000 AI companies worldwide, contributing to a global AI market value of nearly $200 billion.

Deep Learning 147

Deep Learning Natural Language Processing Machine Learning AI 147

Pickl AI

MARCH 24, 2025

Summary: Adaptive Machine Learning is a cutting-edge technology that allows systems to learn and adapt in real-time by processing new data continuously. This capability is particularly important in today’s fast-paced environments, where data changes rapidly and requires systems that can learn and adapt in real time.

Machine Learning 52

Machine Learning Algorithm Continuous Learning Artificial Intelligence 52

AI News

SEPTEMBER 27, 2024

BMC Software’s director of solutions marketing, Basil Faruqui, discusses the importance of DataOps, data orchestration, and the role of AI in optimising complex workflow automation for business success. What we are seeing in the Data world in general is continued investment in data and analytics software.

AI Strategy 303

AI Strategy Automation Data Quality Big Data 303

Unite.AI

MARCH 14, 2025

Add in common issues like poor data quality, scalability limits, and integration headaches, and its easy to see why so many GenAI PoCs fail to move forward. Use techniques like LLM-as-a-judge or LLM-as-Juries to automate (semi-automate) evaluation.

Automation 113

Automation Data Quality LLM Generative AI 113

Unite.AI

SEPTEMBER 30, 2024

AI quality assurance (QA) uses artificial intelligence to streamline and automate different parts of the software testing process. Machine learning models analyze historical data to detect high-risk areas, prioritize test cases, and optimize test coverage.

Automation 317

Automation AI AI DevOps 317

Unite.AI

OCTOBER 30, 2023

When unstructured data surfaces during AI development, the DevOps process plays a crucial role in data cleansing, ultimately enhancing the overall model quality. Improving AI quality: AI system effectiveness hinges on data quality. Poor data can distort AI responses.

DevOps 310

DevOps Software Development Automation Artificial Intelligence 310

Unite.AI

FEBRUARY 17, 2025

A financial crime investigator who once received large volumes of suspicious activity alerts requiring tedious investigation work manually gathering data across systems in order to weed out false positives and draft Suspicious Activity Reports (SARs) on the others.

Automation 147

Automation Responsible AI Generative AI AI Modeling 147

AWS Machine Learning Blog

FEBRUARY 27, 2024

In this post, we share how Axfood, a large Swedish food retailer, improved operations and scalability of their existing artificial intelligence (AI) and machine learning (ML) operations by prototyping in close collaboration with AWS experts and using Amazon SageMaker. Workflow B corresponds to model quality drift checks.

Machine Learning 131

Machine Learning DevOps Data Scientist Data Quality 131

Marktechpost

MAY 7, 2024

The burgeoning expansion of the data landscape, propelled by the Internet of Things (IoT), presents a pressing challenge: ensuring data quality amidst the deluge of information. However, the quality of that data is paramount, especially given the escalating reliance on Machine Learning (ML) across various industries.

Large Language Models 133

Large Language Models Automation Data Quality ML 133

Pickl AI

JULY 24, 2024

Summary: Data quality is a fundamental aspect of Machine Learning. Poor-quality data leads to biased and unreliable models, while high-quality data enables accurate predictions and insights. What is Data Quality in Machine Learning?

Data Quality 52

Data Quality Machine Learning Automation Data Integration 52

Unite.AI

AUGUST 28, 2024

Challenges of Using AI in Healthcare Physicians, doctors, nurses, and other healthcare providers face many challenges integrating AI into their workflows, from displacement of human labor to data quality issues. Interoperability Problems and Data Quality Issues Data from different sources can often fail to integrate seamlessly.

Data Quality 317

Data Quality Algorithm AI AI 317

Unite.AI

OCTOBER 22, 2024

With over 1,775 executives surveyed across 33 countries, the report uncovers how AI, automation, and sustainability are transforming the landscape of quality assurance. This shift marks a pivotal moment in the industry, with AI set to revolutionize various aspects of QE, from test automation to data quality management.

Automation 130

Automation Data Quality AI Automation AI 130

Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. After you create a free account, you’ll have access to the best machine learning datasets. Importance and Role of Datasets in Machine Learning Data is king.

Machine Learning 123

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 123

DataRobot Blog

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

Machine Learning 98

Machine Learning Data Drift Categorization Data Scientist 98

Flipboard

NOVEMBER 13, 2024

In the quest to uncover the fundamental particles and forces of nature, one of the critical challenges facing high-energy experiments at the Large Hadron Collider (LHC) is ensuring the quality of the vast amounts of data collected. The new system was deployed in the barrel of the ECAL in 2022 and in the endcaps in 2023.

Algorithm 162

Algorithm Data Quality Machine Learning Neural Network 162

Unite.AI

OCTOBER 12, 2023

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

Heartbeat

JUNE 12, 2023

Source: Author Introduction Machine learning model monitoring tracks the performance and behavior of a machine learning model over time. Many tools and techniques are available for ML model monitoring in production, such as automated monitoring systems, dashboarding and visualization, and alerts and notifications.

Machine Learning 98

Machine Learning Data Drift Explainability Data Quality 98

Unite.AI

JUNE 17, 2024

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. It's true that the specter of job losses due to AI automation is a real fear for many.

Automation 147

Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Marktechpost

JULY 11, 2024

This agentic framework automates the creation of diverse and high-quality synthetic data using raw data sources like text documents and code files as seeds. These benchmarks indicate the substantial advancements made possible by AgentInstruct in synthetic data generation.

Data Quality 113

Data Quality Large Language Models AI Modeling Automation 113

IBM Journey to AI blog

SEPTEMBER 5, 2024

Access to high-quality data can help organizations start successful products, defend against digital attacks, understand failures and pivot toward success. Emerging technologies and trends, such as machine learning (ML), artificial intelligence (AI), automation and generative AI (gen AI), all rely on good data quality.

Metadata 188

Metadata Data Quality Auto-classification DevOps 188

AWS Machine Learning Blog

SEPTEMBER 8, 2023

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. There are only 0.12% of anomalous images in the entire data set (i.e., anomalies out of 1000 images).

Machine Learning 101

Machine Learning Computer Vision Artificial Intelligence Artificial Intelligence 101

Unite.AI

MAY 23, 2024

The pitch for AI solutions to be utilized in a myriad of different ways, from machine learning tools that bolster customer service to better personalization and product recommendation engines for customers to logistics and supply chain optimization tools, is a strong one.

Machine Learning 269

Machine Learning AI AI AI Engineer 269

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

AUGUST 21, 2024

Amazon DataZone makes it straightforward for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization so they can discover, use, and collaborate to derive data-driven insights. A new data flow is created on the Data Wrangler console. Choose Create.

Machine Learning 111

Machine Learning Data Scientist ML Data Quality 111

AWS Machine Learning Blog

JULY 11, 2024

This allows customers to further pre-train selected models using their own proprietary data to tailor model responses to their business context. The quality of the custom model depends on multiple factors including the training data quality and hyperparameters used to customize the model.

Automation 121

Automation Large Language Models Data Quality Machine Learning 121

AWS Machine Learning Blog

NOVEMBER 7, 2024

SageMaker JumpStart is a machine learning (ML) hub that provides a wide range of publicly available and proprietary FMs from providers such as AI21 Labs, Cohere, Hugging Face, Meta, and Stability AI, which you can deploy to SageMaker endpoints in your own AWS account. It’s serverless so you don’t have to manage the infrastructure.

Generative AI 106

Generative AI Machine Learning AI AI 106

Pickl AI

JANUARY 12, 2025

Define AI-driven Practices AI-driven practices are centred on processing data, identifying trends and patterns, making forecasts, and, most importantly, requiring minimum human intervention. Data forms the backbone of AI systems, feeding into the core input for machine learning algorithms to generate their predictions and insights.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

The MLOps Blog

JUNE 27, 2023

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

IBM Journey to AI blog

JULY 25, 2023

In reviewing IBM’s capabilities in ESG Reporting and Data Management, the Verdantix report notes that IBM has strengths in: Data quality control and enhancement, including “easy-to-understand reports to better analyze data quality.

ESG 178

ESG Data Quality Machine Learning Automation 178

Snorkel AI

JUNE 22, 2023

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

Data Quality 52

Data Quality Automation Data Scientist ML 52

Snorkel AI

JUNE 22, 2023

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

Data Quality 52

Data Quality Automation Data Scientist ML 52

Snorkel AI

JUNE 22, 2023

Jacomo Corbo is a Partner and Chief Scientist, and Bryan Richardson is an Associate Partner and Senior Data Scientist, for QuantumBlack AI by McKinsey. They presented “Automating Data Quality Remediation With AI” at Snorkel AI’s The Future of Data-Centric AI Summit in 2022.

Data Quality 52

Data Quality Automation Data Scientist ML 52

IBM Journey to AI blog

DECEMBER 20, 2023

The automation of tasks that traditionally relied on human intelligence has far-reaching implications, creating new opportunities for innovation and enabling businesses to reinvent their operations. Establish a data governance framework to manage data effectively. Artificial intelligence (AI) is a transformative force.

AI Strategy 224

AI Strategy Artificial Intelligence Artificial Intelligence Machine Learning 224