Press Release: Vyasa Introduces Cortex: Intuitive, Visual Data Fabric Creation & Management
BOSTON, March 10, 2022 — Vyasa, an innovative provider of highly scalable deep learning A.I. analytics software for healthcare, life sciences and business applications, today debuts its latest application, Cortex. An intuitive data management tool, Cortex acts as the “blueprint” of the data fabric by allowing users to build, manage and provision access to data sources connected to Vyasa Layar data fabrics.
Industry estimates are that 80% of organizational data is siloed. Within these silos are massive amounts of valuable information that can influence business strategies from market research to product innovation to financial forecasting. Unfortunately, this information has remained largely inaccessible with organizations spending significant time and budget towards solving this issue through outdated IT management strategies.
Vyasa’s Layar data fabric solution solves this issue by enabling the secure, scalable connection of disparate data silos regardless of storage location or file type. As data sources are connected, Layar indexes and analyzes the connected content to build out a flexible “bird’s eye view” of the client’s full data landscape. Each Layar instance acts as a building block that can be combined with other instances to create a larger data fabric. Deep learning models built within Layar then tag and catalog all content across the data fabric making it easy to search and analyze integrated data across an organization.
Vyasa Cortex takes this process a step further by providing an intuitive application interface for users to build and manage Layar data fabrics. Key features of Cortex include:
- Build customized data fabrics based on specific projects or use cases.
- Visualize the composition of contents across an organization’s data landscape.
- Modify existing data fabrics through a simple drag and drop functionality.
- Utilize a full catalog of data sources in an intuitive self-service manner.
- Create user groups based on team member roles and responsibilities.
- Provision user group access to individual Layar instances based on privacy and security policies.
- Monitor multiple deployed data fabrics in a single dashboard.
“Organizations have traditionally relied on IT teams and data scientists to collect and manage data sources which typically requires navigating complex systems across multiple silos,” said Vyasa Founder & CEO, Dr. Christopher Bouton. “At Vyasa, we’re focused on mitigating these pain points by harnessing powerful novel technologies, such as deep learning algorithms and data fabric architectures, to solve our client’s key challenges. Cortex is the next step in this process. By providing a powerful, novel solution for building, deploying, visualizing and managing data fabrics, we’re helping to accelerate data accessibility, analytics and insights across our client organizations.”
Cortex joins Vyasa’s suite of deep learning applications powered by its Layar data fabric, including Axon dynamic knowledge graph capability, Synapse “smart table” technology, and Retina image management and analysis. Vyasa can be deployed on-premise or in the cloud as a fully containerized application.
Vyasa will be showcasing its full suite of deep learning applications, including Cortex, as part of the Dell Technologies booth (#2000) at the 2022 HIMSS Global Health Conference & Exhibition.
Access a free trial of Vyasa’s suite of deep learning applications at https://vyasa.com/download/.
For more information, please visit https://vyasa.com/ or contact [email protected]
Founded in 2016, Vyasa provides highly-scalable deep learning software and analytics for healthcare, life sciences and business applications. Vyasa’s technologies enable organizations to integrate and access data across disparate silos, regardless of location or structure. With Vyasa’s collection of deep learning applications, users can ask complex questions across large-scale data sets and gain critical insights to make faster, more accurate, business decisions. For more information, please visit vyasa.com