So much of the information generated in healthcare and life sciences was designed for humans to manually read. The rapid rate at which new content is being created today has made this an impossible task. Manually analyzing these documents could take months, with deep learning it can take seconds.
BOSTON — November 9, 2021 — Vyasa, an innovative provider of highly scalable deep learning A.I. analytics software for healthcare, life sciences, and business applications, has joined the SAP® PartnerEdge® program with a build focus. Participation in this program enhances Vyasa’s ability to provide highly scalable and secure deep learning text analytics directly within the SAP Business Technology Platform.
One in eight women will develop breast cancer in their lifetime.
Unfortunately, these numbers only get bleaker when you dive into demographics. For example, Black women are more likely to develop more aggressive and more advanced breast cancer, with industry non-profit Breastcancer.org noting less access to mammography and lower quality medical care as causes.
The way organizations think about data management has changed significantly in recent years. Historically, structured data sources that could be easily saved in spreadsheets were the only assets prioritized. They are easy to search and analyze, thanks to consistent formatting of rows and columns of data consisting of patient health records, financial transactions, customer information, inventory, etc.
Organizations across industries are struggling to make use of their rapidly growing data sets. In most cases, those tasked with trying to manage or bring value to this data are met with frustration, wasting time and resources.
BOSTON, October 7, 2021 — Vyasa, an innovative provider of highly scalable deep learning A.I. analytics software for healthcare, life sciences and business applications, has been selected to participate in the SAP.iO Foundry Berlin health sciences startup program. Recently launched by SAP SE, the program will provide support for, and boost the visibility of, participating startups driving the digitalization of healthcare and the life sciences.
We’re just realizing the magnitude of the data challenge we’re all experiencing.
This is particularly true in healthcare and the life sciences where a significant focus has been spent on replicating and storing large swaths of data. But, how valuable is this data if you can’t easily access and derive insights from it?
Healthcare and life sciences organizations churn through mountains of data every minute of every day. This creates great strain on their systems to assemble that data across disparate formats and use it effectively for deep learning algorithms. Using an innovative data fabric—teamed with high-performance infrastructure—can help unleash the power of deep learning to improve time to insights for demanding and essential use cases.
BOSTON, September 22, 2021 — Vyasa Analytics, an innovative provider of highly scalable deep learning A.I. analytics software for healthcare, life sciences and business applications, today announced the availability of Vyasa Layar in the AWS Marketplace. A next-generation data fabric solution, Vyasa Layar allows data scientists and business professionals to unify data across disparate silos, regardless of where it exists or how it’s structured.
We’re all guilty of some level of data hoarding.
On a personal level, that may mean storing duplicates of the same vacation photo in a digital album or saving multiple drafts of a resumé which creates clutter on a personal device or cloud. Now think of this same scenario, but across an entire company. The amount of content stored is now multiplied across each individual, team, business unit, etc. creating mountains of data that are impossible to manage manually.
