Digital transformation is challenging the expectations of both educators and learners by enabling new possibilities in areas like content delivery, student management, and research.
The introduction of cloud computing allows organizations to streamline processes in data collection and data management.
Autonomous database technologies can help innovate scientific research and the academic curriculum. AI automates data integration and expands data sources to conduct experiments faster on higher-performance computing to capture breakthroughs. Oracle Autonomous Database transforms traditional data processes by delivering intelligent automation for quicker processing and analytical tools for deeper insights. With this, institutions can uncover more with their data and share that knowledge in new, immersive ways.
AI also plays an important role in transforming academic administration with analytics to help boost student recruitment, admissions, and retention—identifying ideal students, responding to individual needs, and predicting behavior. Teachers can also use AI-powered analytics to automate time-consuming functions like curriculum planning and grading.
The Nobel Prize-winning physics research organization, CERN, houses the world’s largest and most powerful particle accelerator, the Large Hadron Collider, 100 meters underground on the French–Swiss border. CERN’s purpose is to discover the subatomic building blocks of the universe, so when it began registration for its annual Open Days public conference event, it’s understandable that demands on the visitor registration system were huge.
To ensure a great user experience in the face of such attention, CERN openlab built a cloud-native application for 75,000 registrations and hosted it all on Oracle Cloud Infrastructure. Oracle Autonomous Transaction Processing scaled up the database 10× and Kubernetes engine scaled up 3× in minutes. The event-registration application was not only delivered at scale and fast (in 75 days); there was also no database management—freeing the IT staff to have more flexibility and control.
“The best thing about the Oracle solution and architectural design was the collaboration between the teams. We have a much more flexible and scalable system now. We’re excited about the future.”
Viktor Kozlovszky, Software Architect, CERN
With over 200 medical researchers and doctors working to uncover the causes of diseases, find better treatments, and provide the best treatment for patients, The Woolcock Institute of Medical Research at the University of Sydney in Australia is a leader in breathing and sleep research.
Using Oracle Autonomous Data Warehouse, it was able to clean, process, and analyze insomnia research data in just hours, rather than weeks. Machine learning also enables it to simultaneously use and process 100 million different health data points and signals per patient, for prescribing personalized sleep treatments.
“Oracle Autonomous Data Warehouse is easy to access, easy to upload data—no matter what kind of format, structured or unstructured—then visualize the data and manage machine learning.”
Dr Tancy Kao, Data Scientist, Woolcock Institute
Education is changing, fast. And Delhi’s Sharda University is developing new, technology-assisted approaches that encourage its 20,000 students to take their learning outside the classroom. Now, students build projects using cloud technologies and machine learning.
All those learning experiences also give the university a rich source of data. It uses Oracle Autonomous Data Warehouse to store the information securely in the cloud- the two-week implementation and scale required far fewer staff than the previous database.
Oracle Analytics is helping track community projects, academic programs, and student outcomes.
“We are using Oracle Autonomous Data Warehouse and Oracle Analytics Cloud to extract insights from our data. This has helped us improve the teaching–learning experience for students.”
Divesh Kamboj, Vice President of IT, Sharda University