IBM Journey to AI blog

FEBRUARY 8, 2023

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Achieving Responsible AI As building and scaling AI models for your organization becomes more business critical, achieving Responsible AI (RAI) should be considered a highly relevant topic. billion by 2025.

Responsible AI 130

Responsible AI Explainability Explainable AI Automation 130

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 Responsible AI Explainability 234

IBM Journey to AI blog

MAY 9, 2023

Challenges around managing risk and reputation Customers, employees and shareholders expect organizations to use AI responsibly, and government entities are starting to demand it. Responsible AI use is critical, especially as more and more organizations share concerns about potential damage to their brand when implementing AI.

Metadata 227

Metadata Explainability Automation Responsible AI 227

IBM Journey to AI blog

DECEMBER 4, 2023

In addition, the CPO AI Ethics Project Office supports all of these initiatives, serving as a liaison between governance roles, supporting implementation of technology ethics priorities, helping establish AI Ethics Board agendas and ensuring the board is kept up to date on industry trends and company strategy.

Metadata 228

Metadata AI AI Explainable AI 228

IBM Journey to AI blog

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Monitor, catalog and govern models from anywhere across your AI’s lifecycle.

Metadata 220

Metadata Explainability Automation Explainable AI 220

IBM Journey to AI blog

OCTOBER 30, 2024

The enhanced metadata supports the matching categories to internal controls and other relevant policy and governance datasets. Overall, leveraging watsonx for regulatory compliance offers a transformative approach to managing risk and AI initiatives with transparency and accountability. Furthermore, watsonx.ai

Prompt Engineer 238

Prompt Engineer Prompt Engineering ETL Machine Learning 238

The MLOps Blog

JUNE 27, 2023

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Can you compare images?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134