IBM Journey to AI blog

OCTOBER 12, 2023

But the implementation of AI is only one piece of the puzzle. The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

Data Scientist 234

Data Scientist Metadata Explainability Responsible AI 234

The MLOps Blog

JUNE 27, 2023

Data quality control: Robust dataset labeling and annotation tools incorporate quality control mechanisms such as inter-annotator agreement analysis, review workflows, and data validation checks to ensure the accuracy and reliability of annotations. Data monitoring tools help monitor the quality of the data.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Unite.AI

JUNE 17, 2024

This involves defining clear policies and procedures for how data is collected, stored, accessed, and used within the organization. It should include guidelines for data quality, data integration, and data security, as well as defining roles and responsibilities for data management.

Automation 146

Automation Artificial Intelligence Artificial Intelligence Generative AI 146

Pickl AI

JUNE 23, 2023

Monitoring and Evaluation Data-centric AI systems require continuous monitoring and evaluation to assess their performance and identify potential issues. This involves analyzing metrics, feedback from users, and validating the accuracy and reliability of the AI models. Governance Emphasizes data governance, privacy, and ethics.

Continuous Learning 52

Continuous Learning Data Quality AI AI 52

Heartbeat

OCTOBER 12, 2023

Challenges in Multi-Modal Learning Multi-modal learning, the convergence of multiple data modalities (e.g., Heterogeneous Data Integration : Combining data from different modalities that differ in format, scale, and dimensionality requires careful integration.

Large Language Models 59

Large Language Models Neural Network Convolutional Neural Networks Artificial Intelligence 59

ODSC - Open Data Science

JANUARY 30, 2024

Not only does it involve the process of collecting, storing, and processing data so that it can be used for analysis and decision-making, but these professionals are responsible for building and maintaining the infrastructure that makes this possible; and so much more. Think of it as like being a data doctor.

Data Science 52

Data Science Data Scientist Data Mining Machine Learning 52

Defined.ai blog

SEPTEMBER 7, 2023

Healthcare datasets serve as the foundational blocks on which various AI solutions, such as diagnostic tools, treatment prediction algorithms, patient monitoring systems, and personalized medicine models, are built. Consider them the encyclopedias AI algorithms use to gain wisdom and offer actionable insights.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52