By 2016, 25% of net-new BI and analytics platform deployments will be in the form of subscriptions to cloud services.
–Gartner 2014
On Sunday, August 23, Gloria will present research on accountability in artificial intelligence projects at the FedCSIS 2026 conference in Riga, Latvia, while also helping facilitate two sessions of the Information Technology for Business and Society (ITBS) track. Presenting in the ITBS track Gloria’s presentation, Accountability Mechanisms in AI Projects: An Empirical Analysis of Governance,… Continue reading Accountability Mechanisms in AI Projects at FedCSIS 2026 in Riga
A paused project feels safe. It isn’t. While it sits idle, teams disperse, knowledge fades, technology moves on, contracts lapse, and stakeholder support quietly erodes. The project that made sense to pause in March can be much harder to restart by fall, and probably more expensive. Our new article, A Practical Assessment for Project Suspension,… Continue reading When a Project Pauses, What Should Happen Next?
Gloria J. Miller will be Session Chair and presenter at the 19th Conference on Computer Science and Intelligence Systems FedCSIS 2024 in Belgrade, Serbia, from 8th to 11th September 2024. She will be Session Chair of the Information Technology for Business and Society (ITBS) track. According to FedCSIS, “this Topical Area aims at integrating and creating synergy… Continue reading Presenting at the 19th Conference on Computer Science and Intelligence Systems
Gloria J. Miller has a book chapter published by Springer entitled Artificial Intelligence Project Success Factors—Beyond the Ethical Principles in “Information Technology for Management: Business and Social Issues”. It details her paper that was presented at the FedCSIS 2021 conference in September 2021. The individual chapter is available as Open Access under a Creative Commons Attribution… Continue reading #AI Project Success — Book Chapter Published
In the Project Management Stammtisch on 28-September, we covered the topic “Project Success Factors for Business Intelligence (BI) and Big Data”. The discussion was on a comparative analysis of Big Data Analytic and Business Intelligence projects from our project success study. In short, the study compared 52 demographic and project attributes. None of the organizational… Continue reading 1. PM Stammtisch: Project Success Factors for BI and Big Data
Based upon our Decision Support Project Survey, we have created a template for a benchmark comparison that can be used to share best practices or identify areas of improvement. The survey analyzed 78 projects for critical success criteria and factors and created a classification model. The classification model has been documented and peer reviewed by… Continue reading Benchmark: Business Intelligence, BigData, and Analytic Project Success
The aim of the research was to understand the success criteria for decision support projects and what influences the performance of those projects. “Decision support projects are implementation projects that deliver data, analytical models, analytical competence, or all three, for unstructured decision-making and problem-solving. They include subspecialties such as big data, advanced analytics, business intelligence,… Continue reading Survey Results: BI, BigData, & Analytic Project Success
TDWI recommends the implementation of a Business Intelligence (BI) and analytic Competency Center (CC) or Center of Excellence (CoE).
By 2016, 25% of net-new BI and analytics platform deployments will be in the form of subscriptions to cloud services.
–Gartner 2014
Last week, I got my first copy of the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms. This year, I was a little disappointed in the progress in the BI market place.