DataKitchen
FEBRUARY 23, 2024
Webinar: Beyond Data Observability: Personalization DataKitchen DataOps Observability Problem Statement White Paper: ‘Taming Chaos’ Technical Product Overview Four-minute online demo Detailed Product: Documentation Webinar: Data Observability Demo Day DataKitchen DataOps TestGen Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’ (..)
CIO Business Intelligence
JANUARY 30, 2024
On the other hand, there are organizations with teams that are equipped with value-based plans and metrics. When organizations grapple with unreliable reports and moving targets, the true performance of strategic investments is obscured. Leaders need to emphasize shared outcomes and objectives and establish clear success metrics.
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CIO Business Intelligence
JANUARY 18, 2024
However, at this phase, groups aren’t fully harnessing these metrics to guide holistic process improvements. Further, they can stop relying on efforts like quarterly status reports and instead leverage real-time dashboards that keep all stakeholders consistently apprised.
DataRobot
AUGUST 16, 2021
Seventy percent of customers expect organizations to provide transparent and fair AI experiences, according to a recent Capgemini report. AI researchers and academics have proposed over 70 metrics that can each define bias by pinpointing how an algorithm treats different groups represented in a dataset differently. White Paper.
Smarten
NOVEMBER 28, 2023
And, as McKinsey reports, continuous improvement companies seek to eliminate costs and to empower employees to improve efficiency and growth of product and service innovation. Augmented analytics simplifies data analytics and enables data literacy and user adoption across the enterprise, providing actionable reporting and insight into data.
IBM Big Data Hub
JUNE 13, 2022
AI is also likely to drive unique requirements for specific RegTech functionality relating to bias assessments (including specific metrics like disparate impact ratio), automated evidence to monitor for drift in AI models, and other functionality relating to the transparency and explainability of AI systems. References. [1] 1] [link]. [2]
DataRobot
OCTOBER 20, 2021
Evaluation metrics for machine learning models: Understanding evaluation metrics, what they optimize for, and how they intersect with AI fairness principles gives stakeholders the language necessary to qualify risks associated with AI systems. WHITE PAPER. rule-based AI , machine learning , deep learning , etc.)
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