Snorkel AI

MARCH 14, 2023

This time-consuming, labor-intensive process is costly – and often infeasible – when enterprises need to extract insights from volumes of complex data sources or proprietary data requiring specialized knowledge from clinicians, lawyers, financial analysis or other internal experts.

Data Scientist 52

Data Scientist Data Drift AI AI 52

Snorkel AI

JANUARY 31, 2023

Valuable data, needed to train models, is often spread across the enterprise in documents, contracts, patient files, and email and chat threads and is expensive and arduous to curate and label. Inevitably concept and data drift over time cause degradation in a model’s performance.

Data Drift 52

Data Drift Explainability Data Scientist AI 52

Snorkel AI

JANUARY 31, 2023

Valuable data, needed to train models, is often spread across the enterprise in documents, contracts, patient files, and email and chat threads and is expensive and arduous to curate and label. Inevitably concept and data drift over time cause degradation in a model’s performance.

Data Drift 52

Data Drift Explainability Data Scientist AI 52

DataRobot Blog

FEBRUARY 15, 2023

The MLOps command center gives you a birds-eye view of your model, monitoring key metrics like accuracy and data drift. Teams can also build AI apps without writing code and collaborate within a single system of record, setting up user permissions and governance.

Data Scientist 52

Data Scientist Data Drift Automation AI 52

Viso.ai

FEBRUARY 12, 2024

Continuous Improvement: Data scientists face many issues after model deployment like performance degradation, data drift, etc. By understanding what goes under the hood with Explainable AI, data teams are better equipped to improve and maintain model performance, and reliability.

Explainable AI 52

Explainable AI Explainability Deep Learning Neural Network 52

IBM Journey to AI blog

DECEMBER 15, 2023

Additionally, the vendor neutrality of open-source AI ensures organizations aren’t tied to a specific vendor. While open-source AI offers enticing possibilities, its free accessibility poses risks that organizations must navigate carefully.

AI Tools 207

AI Tools Deep Learning Computer Vision Python 207

Unite.AI

JULY 21, 2023

In order to protect people from the potential harms of AI, some regulators in the United States and European Union are increasingly advocating for controls and checks and balances on the power of open-source AI models. One way to identify bias is to audit the data used to train the model.

Data Drift 241

Data Drift Large Language Models Algorithm Data Scientist 241

AWS Machine Learning Blog

DECEMBER 4, 2024

They use fully managed services such as Amazon SageMaker AI to build, train and deploy generative AI models. Oftentimes, they also want to integrate their choice of purpose-built AI development tools to build their models on SageMaker AI. This increases the time it takes for customers to go from data to insights.

ML 136

ML Generative AI Data Scientist ML Engineer 136