Showing 341 - 360 of 805

Today’s work environment is changing rapidly, so much so that the ever-increasing velocity of innovation and technology will create a workplace five years from now that looks nothing like the one of today. The big three factors in this coming change are: the “gig” economy, or project work, becoming the norm; moving from networks to ecosystem; and augmenting human work with AI systems
January 17, 2017 | Authored By: David Coleman
According to Guest Editor Patrick DeBois, "Only by providing positive results to the business and management can IT reverse its bad reputation and become a reliable partner again. In order to do that, we need to break through blockers in our thought process, and devops invites us to challenge traditional organizational barriers. The days of top-down control are over -- devops is a grass-roots movement similar to other horizontal revolutions, such as Facebook. The role of management is changing: no longer just directive, it is taking a more supportive role, unleashing the power of the people on the floor to achieve awesome results."
August 24, 2011 | Authored By: Patrick Debois
While issues around data and information governance are starting to get the attention they deserve, business and technology leaders still need help finding their way through all the conflicting demands. We invited several authors to present their perspectives and recommendations on this complex web of issues.
October 3, 2018 | Authored By: Claude Baudoin
Avishan Bodjnoud highlights the typical challenges of skill sets, data literacy, data governance, process, resources, and senior leadership buy-in that affect most traditional organizations. She explains why organizations that simply establish a standalone analytics entity and expect immediate results are often disappointed. Bodjnoud closes with an important discussion on the need to understand the reasons for resistance to change and then manage them — critical elements of any analytics project or digital transformation effort.
June 22, 2021 | Authored By: Avishan Bodjnoud
Organizations need to address several issues across four critical steps to make AI work to their best advantage: (1) assess business needs, (2) seek skilled AI people and train staff, (3) identify AI machine learning input data, and (4) choose AI and ML tools. This Executive Update addresses each of the four steps and offers recommendations.
September 13, 2021 | Authored By: Steven Kursh, Arthur Schnure