Is digital transformation in higher education possible without the cloud? Not likely. When that transformation is viewed as a journey, not a destination, the essential role of cloud-based resources as enabling and empowering infrastructure comes sharply into focus. Institutional performance, operational efficiencies, student success — the primary goals of digital transformation in higher education today — are only possible with the agility and scalability of cloud-based computing and resources.
Without a clear strategy in place, digital transformation and cloud migration can start to look like a game of whack-a-mole. As teams weigh where cloud solutions will take them next, understanding and articulating the need to include data-intensive computing, security, reporting, and analysis is imperative. That’s all the more true as students increasingly demand a level of personalization and engagement that can only be delivered through a robust analytics and data infrastructure. Download the guide to learn how to grow beyond today’s analytics programs and to mature them for endemic management and strategy.
Cloud Budgets Keep Growing
“‘As higher education institutions continue to pivot toward continuous modernization practices, the SaaS segment of the cloud is likely to see the most investment,’ noted Damien Eversmann, Chief Architect for Education at Red Hat. ‘Cloud resources provide the agility and flexibility needed to support the culture of change that continuous modernization demands. As long as security practices are properly maintained, cloud adoption is one of the best tools for academic institutions to stay ahead of the curve.’ All cloud categories are expected to see growth in 2023, according to Gartner, with the most significant anticipated growth in Cloud Management and Security Services and Cloud Application Infrastructure Services (PaaS).”
Read more insights from Damien Eversmann, Chief Architect for Education at Red Hat.
Accelerate Agility and Integrate Data
“Today, higher education IT professionals refer to “the new normal” when discussing the many modes of learning, research, and other day-to-day hybrid work now possible thanks to cloud computing. The monumental movement and general acceptance of the cloud within higher education happened nearly overnight, after years of hesitance and reluctance on the part of higher ed leaders who sought greater on-site control over data and operations. That reluctance transformed to trust as cloud-based operations proved their mettle, and institutions by and large today embrace a new way of working through the ongoing and continuous change of digital transformation. “That’s probably the biggest change — that change is the constant,” said Bill Greeves, an industry advisor for SAP who supports the organization’s education customers. As a former CIO and deputy county manager for Wake County, N.C., Greeves saw firsthand the overnight transformation to cloud-based workloads to keep government and citizen services up and running at the onset and throughout the pandemic.”
Read more insights from Bill Greeves, Industry Advisor for SAP.
Essentials for Navigating Cloud Implementations
“While the mission of higher education has never changed, the means of fulfilling that mission continue to swiftly evolve, particularly as a result of cloud computing technology and the migration of workloads, applications, storage — pretty much everything — to the cloud. Higher education research, in particular, enjoys many benefits from the cloud, including rapid provisioning of data and applications, or abstraction, which ensures non-technical users can readily deploy cloud resources and quickly get back to the real task at hand: research. Cloud is at the heart of institutions’ ongoing march to digital transformation, but that’s not all: Prompted by the pandemic, many colleges and universities have also embraced the rapid adoption of cloud capabilities in support of remote work and collaboration.”
Read more insights from Hunter Ely, Security Strategist at Palo Alto Networks, and Mathew Lamb, Manager, Pre-Sales Cloud Native Solutions at Palo Alto Networks.
Download the full report for more insights from these from these higher ed Cloud leaders as well as additional perspectives and industry research.
“Student needs are so individualized that a single, one-size-fits-all approach to services is ineffective. Institutions need systems that can constantly learn from students as they’re navigating their experience on campus and then take student-specific action. Qualtrics’ experience management platform enables students to share feedback in a host of different ways and then crucially, pairs that data with internal systems to help institutions gain a holistic view of those students. Campus leaders can listen, understand and act through a platform that gathers information and converts it into real-time insights for decision-makers. In addition, the Qualtrics platform uses artificial intelligence to help schools understand what friction points exist in the student journey and then helps to automate actions, such as connecting students with the right resources, at scale. By giving the right people the right information at the right time, AI enables institutions to intervene at the moments that matter most. It also helps decision-makers measure the impact of those actions.”
“While institutions have expressed continuing concern about wobbling tuition and ancillary dollars, one source of revenue remains healthy for higher education: COVID-19 research funded by federal and state programs. The full measure, from community colleges to Research 1s, are at the forefront of projects to develop vaccines; uncover the sources of coronavirus and its evolving replication patterns; create new initiatives for public health response; understand the impact of the virus on various populations; study the physical and mental health and learning effects of prolonged quarantine; and explore numerous other facets.. However, the heightened attention on campus research comes with a continuing challenge: how to keep up with IT infrastructure needs, typically assembled once the grant funding arrives. Since many of these recent grants are shortterm, turnaround time can be tight. In many cases, research teams are going from near-zero infrastructure to running as quickly as possible — and not just serving applications to users, but storing, processing and sharing astronomical amounts of data.”
“Automation of the easy security work — known threats, known responses, malware detection, cleanup — addresses both problems, and everybody wins. The campus gains better operational success. And when humans don’t have to intervene with the ordinary, they’re free to do more interesting work. They grow in their positions, because they’re not just clicking buttons all day. Automation is especially important in an era of remote status quo and zero-trust. IT has to assume that there’s a high probability of any authentication request being nefarious. And that means being able to look at data in context: Is this person at a higher risk? Is the laptop or smartphone compromised? Should we let them on the network today? Have we scanned this device in the last three days? Then let’s not allow them access to this HR data. If they get their machine scanned, then they can come back and try again. While higher ed has long been predicated on allowing open access, now that can only happen when it’s the appropriate thing to do. Users have to be classified — student, researcher, staffer — and access has to be controlled. When everything looks normal, they get unfettered access. But when their machine or account is compromised, the access should be denied. Easier said than done, right?”