When leading large-scale digital transformation efforts at higher education institutions, prioritizing people alongside technology efforts can lead to more successful outcomes.
If digital transformation is enabled by data and analytics and if data and analytics requires data governance, you can’t have digital transformation without data governance.
Given the potential ramifications of artificial intelligence (AI) diffusion on matters of diversity, equity, inclusion, and accessibility, now is the time for higher education institutions to adopt culturally aware, analytical decision-making processes, policies, and practices around AI tools selection and use.
With the rapid developments in artificial intelligence, higher education is entering a second phase of digital transformation: Dx 2.0. Technology and other campus leaders can take steps now to help prepare their institutions.
Nine questions can help demystify organizational culture, making it an ally in data governance initiatives.
Prioritizing reliable, secure, future-ready connectivity can help higher education institutions tackle some of their biggest challenges.
The Digital Learning Strategy Guide can help institutions develop a robust, flexible, and personalized framework for a digital learning strategy informed by digital transformation.
In 2020, George Washington University faced the challenge of silos and redundancies resulting from the decentralized model of several different administrative units, including the IT organization.
HBCUs are leveraging digital transformation (Dx) to improve student outcomes.
As institutions continue to experience change and disruption across campus, improving training, flexibility, and cross-functional relationships and collaboration will be necessary to continue to adapt in the “new normal.”
