IT Governance & Leadership
To Succeed With Data Science, First Build the ‘Bridge’
To better align data teams with business operations, a new organizational structure is needed.
To better align data teams with business operations, a new organizational structure is needed.
Three strategies lead to technology transformations that create value and enable ongoing innovation.
Executed well, good data governance can fuel digital innovation without compromising security.
Rooting out AI bias, assessing new tech investments, and customers’ pandemic-affected preferences.
HR and IT must collaborate, starting at the executive level, to improve employee experiences.
Leaders’ implicit biases toward new technology can cause them to make poor investment decisions.
Most companies treat cybersecurity as an operational issue — and miss out on strategic opportunities.
The ease with which consumers have adapted to rapid change signals a future of more disruption.
With more people working remote, IT leaders face new challenges.
Shareholders and stakeholders, data science’s pandemic shift, and combating workplace discrimination.
Companies are beginning to reboot their machine learning and analytics, disrupted by the global pandemic.
A country’s mix of occupations, technology backbone, and demographics impacts its conditions for remote work.
There has been a huge demand for data scientists in the past decade. Is that about to change?
Understanding how cybersecurity and cyber resilience differ is key to effectively responding to cyberthreats.
Leaders should check in with employees on their wellbeing in addition to their productivity in the post-COVID work environment.
No amount of tech investment can outweigh closing the human performance gap — the best defense against cyberattacks.
As the CIO function becomes more strategic, these executives focus on customer experience.
This infographic highlights research findings on technology governance issues key to implementing trusted AI.
Leaders seeking a positive impact from digital initiatives benefit from these 7 key principles.
This infographic highlights research findings on the management changes needed for successful AI implementations.