Unite.AI

MARCH 18, 2024

Implementing Preventative Measures To safeguard AI models from the pitfalls of AI-generated content, a strategic approach to maintaining data integrity is essential. Ethical AI Practices : This requires committing to ethical AI development, ensuring fairness, privacy, and responsibility in data use and model training.

AI 189

AI AI Data Integration Generative AI 189

Marktechpost

MAY 12, 2024

SEON SEON is an artificial intelligence fraud protection platform that uses real-time digital, social, phone, email, IP, and device data to improve risk judgments. It is based on adjustable and explainable AI technology. Its initial AI algorithm is designed to detect errors in data, calculations, and financial predictions.

AI Tools 103

AI Tools Neural Network Artificial Intelligence Artificial Intelligence 103

Defined.ai blog

AUGUST 10, 2023

AI refers to computer systems capable of executing tasks that typically require human intelligence. On the other hand, ML, a subset of AI, involves algorithms that improve through experience. These algorithms learn from data, making the software more efficient and accurate in predicting outcomes without explicit programming.

Business Intelligence 52

Business Intelligence Data Analysis Neural Network AI 52

Heartbeat

NOVEMBER 27, 2023

Deep learning algorithms can accurately detect lung cancer nodules in CT scans, diabetic retinopathy in retinal pictures, and breast cancer in mammograms. Explainable AI and Interpretability The decision-making process of deep learning models is unintelligible and inexplicable, making medical picture interpretation difficult.

Deep Learning 59

Deep Learning Convolutional Neural Networks Explainability Neural Network 59

IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way. Learn more about IBM watsonx 1.

Data Scientist 207

Data Scientist Metadata Responsible AI Explainability 207

IBM Journey to AI blog

JUNE 28, 2023

Large-scale and complex datasets are increasingly being considered, resulting in some significant challenges: Scale of data integration: It is projected that tens of millions of whole genomes will be sequenced and stored in the next five years. gene expression; microbiome data) and any tabular data (e.g.,

Data Analysis 168

Data Analysis Explainable AI Data Scientist AI Strategy 168

The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134