The big data boom has created immense opportunity across industries, leading organizations to invest heavily in data storage and infrastructure. This is particularly true in the healthcare industry, which generates nearly a third of the world’s data, with that number expected to continue to grow. That’s 6% faster than manufacturing, 10% faster than financial services and 11% faster than media & entertainment, according to RBC Capital.
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.
Imaging makes up a significant amount of healthcare content, from X-rays and CT-scans to MRIs and PET scans. Within each image hides key insights into a patient’s health and associated metadata about age, gender and patient demographics. This data can influence diagnoses from healthcare providers, rare disease research, clinical trial design and much more.
Understanding the patient experience continues to be an elusive endeavor for those in the healthcare and life sciences.
The impact of the COVID-19 pandemic has spurred innovation in state and local governments, and with that has come increased investment in improving IT infrastructure. In fact, Gartner forecasts worldwide government IT spending to total $557.3 billion in 2022, an increase of 6.5% from 2021. Much of this investment will be focused on improving operational agility and analytical capabilities, both of which suffered as the sector transitioned to more remote and distributed operations at the start of the pandemic.
We’ve had the distinct honor of being one of the eight international startups selected for the SAP.iO Foundry Berlin health sciences startup program. As members of the cohort, we’ve gained access to SAP technology, received insight from line of business experts and had the opportunity to collaborate with the SAP team on projects.
Siloed data is the thorn in the side of modern-day working environments. Researchers spend far too much time searching for data rather than analyzing it. While IT professionals are challenged with providing the technical support behind these tasks.
However, researchers and IT professionals can eliminate the headaches associated with data silos to fuel faster research times and smarter insights through data fabric architectures. In a recent webinar, CDI, NVIDIA, & Vyasa demonstrated how our Layar data fabric and associated deep learning applications are changing the way IT professionals and researchers approach their data.
One in eight women will develop breast cancer in their lifetime.
In a recent blog post, I discussed the decline in preventative cancer screenings as a result of the COVID-19 pandemic and how this is impacting an already strained healthcare system. Fortunately, advancements in deep learning and image analytics combined with powerful compute infrastructure are solving this challenge head on.
As much as 90% of data generated daily is unstructured.
In part 1 of our series on unstructured content, we focused on the challenges these file types can pose to organizational data management and the collection of business insights.
Fortunately, new advancements in deep learning models combined with powerful compute infrastructure are making this an issue of the past. But what is it about these models that makes them so accurate at identifying and extracting the most relevant insights from unstructured data sources? And why can’t we just rely on keyword search for this same task?
BOSTON, December 1, 2021 — Vyasa, an innovative provider of highly scalable deep learning A.I. analytics software for healthcare, life sciences and business applications, announced today that it has joined the NVIDIA Partner Network (NPN) as a Solution Advisor (SA) – Consultant partner. Inclusion in the program enhances the availability of Vyasa’s GPU-accelerated deep learning applications to NVIDIA’s wide range of customers and partners across industries and around the world.
