Data science Government Metadata Tools 
IBM Big Data Hub
OCTOBER 4, 2022
This is due to: An inability to access the right data. Multiple unsupported tools for building and deploying models. Well-planned and executed AI requires reliable data backed by transparent, automated tools and explainable processes. The solution: AI Governance. Many organizations struggle when adopting AI.
IBM Big Data Hub
OCTOBER 16, 2023
This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
erwin
APRIL 15, 2020
During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. On a business level, decisions based on bad external data may have the potential to cause business failures.
IBM Big Data Hub
MAY 9, 2023
Success in delivering scalable enterprise AI necessitates the use of tools and processes that are specifically made for building, deploying, monitoring and retraining AI models. Building responsible AI requires upfront planning, and automated tools and processes designed to drive fair, accurate, transparent and explainable results.
IBM Big Data Hub
SEPTEMBER 20, 2022
Automated, integrated data science tools help build, deploy, and monitor AI models. Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. Processes that provide AI governance.
Collibra
FEBRUARY 16, 2022
Data governance is the practice of managing and organizing data and processes to enable collaboration and compliant access to data. Data governance allows users to create value from data assets even under constraints for security and privacy. No , you can’t use the data for that . No, no, no.
IBM Big Data Hub
MAY 9, 2022
This architecture is agnostic to data environments, processes, utility and geography, all while integrating end-to-end data-management capabilities. A data fabric automates data discovery, governance and consumption, enabling enterprises to use data to maximize their value chain. Multicloud data integration.
Expert insights. Personalized for you.
97 
Let's personalize your content