Company Blog

Vyasa’s AI platform enables healthcare and life science professionals to gain new value from their data through the power of deep learning. Learn more in Vyasa’s profile by World Wide Technology.

Today’s data landscapes are more dispersed and diverse than ever before. For example, 97% of enterprises use at least one type of cloud deployment, with the majority deploying hybrid or multi-cloud environments. Further, industry analysts estimate that 80-90% of the new data being stored in these environments is unstructured. 

In our new video with partner, SAP, we discuss how we’re leveraging deep learning to improve unstructured data analysis for a joint customer.

The healthcare industry’s expectations around deep learning and A.I. have become a reality as organizations undergo digital transformation and regain control of their data.

In this installment of our healthcare fireside chats, Steve Lazer, Global Healthcare & Life Sciences CTO at Dell Technologies joins us to discuss the evolution of AI in healthcare and where we’re seeing implementation in the market today.

Organizations only access 20% of the data they have available to them. The other 80% is difficult to access due to silos, unstructured formats and redundant or obsolete content.

This scenario creates immense challenges for organizations looking to deploy A.I. In fact, IDC’s AI InfrastructureView Survey reports that managing & preparing data remains the top time investment for deploying A.I.

Experts from Vyasa, Dell Technologies & NVIDIA discussed how Vyasa’s Layar intelligent data fabric helps solve this challenge during a recent webinar.

According to IDC’s AI InfrastructureView Survey, only one-third of companies surveyed claim to have reached mature AI adoption. The survey notes that infrastructure remains the most consequential, but least mature decision when deploying AI. 

In most cases, companies build custom environments for deploying AI, all of which require massive amounts of data for their workflows to operate. Unfortunately, this scenario poses challenges by deepening data silos and creating redundant or obsolete data as AI deployments become mature. Over time, this negatively impacts the quality of data teams have access to as well as the productivity and enhanced intelligence companies are looking to achieve through these projects.

 Vyasa, an innovative provider of highly scalable deep learning A.I. analytics software for healthcare, life sciences and business applications, today introduces its latest application interface, Signal. Featuring an intuitive design, Signal enables users to monitor trends and identify anomalies in their Layar data fabric through highly-visual charts and graphs, delivered in a single dashboard.  

According to industry research, 85% of clinical trials end with less than expected enrollment, while 19% are terminated or fail to meet accrual goals at all. Advanced deep learning is solving this problem by arming healthcare and life science organizations with enhanced insights to improve enrollment and overall success of clinical trials.

The industry estimates that nearly 80% of organizational data is unstructured. In the next installation of our Healthcare Fireside Chats, we’re joined by Dell Technologies‘ Global & Federal Healthcare CTO, Michael Giannopolous. We’ll discuss the rise of unstructured content in healthcare and how Vyasa is applying transformers to improve how the industry can access and gain insight from this valuable data. 

In our new series with Dell Technologies, we’ll unpack the biggest data challenges facing the healthcare industry. For our first episode, we’re joined by Kevin Crosby, Dell Technologies’ healthcare field director where we discuss the impact of data silos in healthcare and the innovations addressing this issue.

Our CCO, Robin Braun, recently sat down with our partner, NVIDIA, to discuss how data fabrics are being applied across healthcare, life sciences, higher education, federal government, manufacturing and more. Watch the full interview below.

Industry 4.0 is revolutionizing manufacturing – from production on the factory floor to operations in corporate offices. While conversations continue to focus on how robotics and automation tools are presenting new levels of productivity and safety to the industry, the data that manufacturers hold is truly the engine behind making these possibilities a reality.

COVID-19 has proved to be a forcing function for life science companies to improve processes to expedite the development and distribution of vaccines and other therapeutics. As a result, the life sciences industry is increasing its interest in solutions that can enhance drug discovery capabilities.

Industry leaders estimate that nearly 80% of organizational data is dark – siloed in individual storage locations and buried under outdated or redundant content. As a result, teams often miss critical information needed to drive innovation, improve services and stay ahead of the competition.

Organizations are facing a data problem with critical insights stored across various silos and hidden in a number of different file formats. As a result, nearly 80% of organizational data is siloed and difficult to access.

Citation (title and abstract) screening for a systematic literature review may be accelerated by 25% through the application of artificial intelligence (AI) in a novel method developed by Oxford PharmaGenesis in partnership with Vyasa.

Vyasa enables organizations to access, integrate and distill disparate data sources. Find out more in our Nature profile.

The development of a new drug takes an average of ten years from discovery to approval, Vyasa’s deep learning accelerates this process for smarter drug R&D.

BOSTON — May 2, 2022 — Vyasa, an innovative provider of highly scalable deep learning AI analytics software for healthcare, life sciences, and business applications, has entered into a distribution agreement with Arrow Electronics. The agreement increases the availability of Vyasa through Arrow’s robust channel partner ecosystem helping organizations to seamlessly overcome data silos and improve their analytics capabilities through Layar, Vyasa’s intelligent data fabric solution. Access Arrow’s Vyasa product page here.

Our increasingly digital world combined with health tech innovations such as wearable devices, has presented new opportunities for how the healthcare industry monitors and understands the patient experience. As a result, healthcare providers are evaluating how to assess even greater amounts of data in an effort to gain a better understanding of the patient experience – which could revolutionize patient care, if only there were fewer challenges associated with data analysis in healthcare. 

BOSTON — April 18, 2022 — Vyasa Analytics LLC, an innovative provider of highly scalable deep learning AI analytics software for healthcare, life sciences, and business applications, announced today the availability of its Vyasa Layar offering on SAP® Store, the online marketplace for SAP and partner offerings. Through Vyasa Layar data fabric, users can connect to Sybase® and to SAP Business Technology Platform (SAP BTP) with SAP HANA® to create a unified data experience regardless of data format or storage location. 

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. Data fabrics provide a single source for analyzing this data.

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.

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. 

See how advancements in deep learning and image analytics are changing the way healthcare professionals understand patient populations.

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. 

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. 

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 suffer from dark data. Our new white paper outlines how deep learning enhances your data capabilities.

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. 

Vyasa discusses the state of data and deep learning in healthcare on The Pulse of AI podcast.

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. 

Extracting data from unstructured content is a challenge. Deep learning presets new opportunities to fuel smarter insights.

As unstructured data continues to rise, Vyasa Layar is helping organizations make sense of their most valuable asset – data.