datapine

MAY 31, 2022

That’s why it is important to implement a secure BI cloud tool that can leverage proper security measures. This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. The risks of cloud computing have become a reality for every organization, be it small or large.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

DataRobot

JULY 16, 2021

They all serve to answer the question, “How well can my model make predictions based on data?” In performance, the trust dimensions are the following: Data quality — the performance of any machine learning model is intimately tied to the data it was trained on and validated against.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

CIO Business Intelligence

JULY 10, 2024

“Getting the right people with diverse skill sets and capabilities is critical, and then it’s about finding the right roles for those people and giving them clarity on the vision, strategy, and measures of success,” she says. Watch the full video below for more insights.

Strategy 118

Strategy Cost-Benefit Uncertainty Technology 118

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. Through the analysis of collected data, potential opportunities for improvement are uncovered.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

DataRobot

JUNE 1, 2021

In an earlier post, I shared the four foundations of trusted performance in AI : data quality, accuracy, robustness and stability, and speed. Recognizing and admitting uncertainty is a major step in establishing trust. Interventions to manage uncertainty in predictions vary widely. Knowing When to Trust a Model.

Uncertainty 52

Uncertainty Machine Learning Advertising Risk 52

Domino Data Lab

JUNE 23, 2019

These measurement-obsessed companies have an advantage when it comes to AI. Google, Facebook, other leaders, they really have set up a culture of extreme measurement where every part of their product experience is instrumented to optimize clicks and drive user engagement.

Management 110

Management Machine Learning Experimentation Metrics 110

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Statistics 49

Statistics Metrics Data Quality Measurement 49

CIO Business Intelligence

JANUARY 4, 2023

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics? There’s always room to grow, and Intel is ready to help.

Cost-Benefit 59

Cost-Benefit Machine Learning Uncertainty Modeling 59

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. How do we think about the quality of human ratings, and how do we quantify our understanding is the subject of this post. While human-labeled data is critical to many important applications, it also brings many challenges.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

CIO Business Intelligence

APRIL 22, 2025

These core leadership capabilities empower executives to navigate uncertainty, lead with empathy and foster resilience in their organizations. Success depends on understanding data needs, measuring ROI, fostering organizational AI fluency and partnering with ethically aligned ecosystems.

Technology 106

Technology Uncertainty Experimentation Risk Management 106

CIO Business Intelligence

FEBRUARY 25, 2025

Typically, election years bring fear, uncertainty, and doubt, causing a slowdown in hiring, Doyle says. CIOs are being viewed as business strategists who can navigate AIs impact, manage outsourced IT functions, and drive ROI and measurable business value, she says. Boards and CEOs arent just looking for IT leaders.

Uncertainty 126

Uncertainty Cost-Benefit Data-driven Marketing 126

CIO Business Intelligence

MAY 14, 2025

Why not actively align, embed and support the art of the possible directly with business units and earn the coveted seat at the table with practical and measurable business success stories connected to the realities of the business itself? On-demand data access. Complex governance. How can modern EA bridge the gap?

Enterprise 115

Enterprise Data Architecture Data-driven Data Quality 115

Anmut

APRIL 14, 2025

Condition Visibility : Physical assets can be inspected visually or measured using predefined metrics. Condition Complexity : Unlike physical assets, data condition issues are often intangible. Missing context, ambiguity in business requirements, and a lack of accessibility makes tackling data issues complex.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52

erwin

MAY 14, 2025

Certify your AI models with confidence One of the biggest blockers to trusted AI is uncertainty around model readiness. With erwin Data Intelligence 15, Quest introduces automated AI model certification based on the erwin by Quest 7 steps model to marketplace value framework.

Modeling 52

Modeling Data Quality Uncertainty Risk 52