| vyasa |

Higher education institutions are rich with data – from results saved by research labs to published content cataloged by libraries to patient records saved by academic medical centers. Each of these data sources are stored at the department level and across various platforms and file formats. As a result, data silos are prevalent across campuses.


While operating all under the same institution, sharing data and knowledge across departments has become increasingly challenging in higher education. IT teams are tasked with providing infrastructure to meet rising data demands and improve collaboration, while faculty and staff are missing critical insights that can fuel their own research and innovation.

Considering the massive amount of data that is created in higher education each day, this issue will only continue to compound itself.


A new data architecture is changing the way higher education can manage and share data across departments. Known as the data fabric, IT teams can securely unify data sources across departments, regardless of file format or storage location. No need to duplicate your data or storage and no data lake required.

Vyasa takes this a step further with its Layar deep learning data fabric. Combining the data fabric architecture with novel approaches to deep learning, content becomes immediately searchable and accessible within a single platform. With Vyasa, higher education institutions can:

  • Make data sources accessible across departments.
  • Enable new ways for researchers to explore their data through highly-visual applications.
  • Improve the discovery of novel insights hidden within unstructured content such as PDFs and images.
  • Reduce time spent on manual research and improve query accuracy.
  • Control system access for secure data sharing across users.

With Vyasa, universities and colleges can overcome data silos, ultimately increasing access to knowledge and improving the quality of research published by the institution.