Author: Nick Brown

Healthcare Fireside Chats – Episode 1

On average, hospitals create up to 50 petabytes of data on an annual basis. Unfortunately, as much as 97% of this information goes unused.

In our new series with Dell Technologies, we’ll unpack the biggest data challenges facing the healthcare industry – from data silos to research to understanding patient need to magnet reporting.

In 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.

Watch more below.

Smarter Manufacturing with an Intelligent Data Fabric


As Industry 4.0 continues to transform manufacturing, a sector that was already ripe with information is experiencing a spike in data production from the factory floor to corporate offices. As a result, the market for big data analytics in manufacturing is projected to reach 4.55B by 2026 as the sector continues to adopt “smart industry” initiatives.


While Industry 4.0 poses a tremendous opportunity for manufacturing, the industry faces a number of data challenges – one of the biggest being data silos occurring horizontally and vertically across organizations. This scenario creates a lack of visibility across the organization that can limit productivity and access to key insight needed to influence tasks such as quality assurance, production monitoring, incident analysis, forecasting and competitor intelligence.


Advancements in deep learning and data management are revolutionizing the way the manufacturing industry can harness and operationalize its data. Vyasa has combined these capabilities into its Layar intelligent data fabric. With Layar, manufacturing professionals can connect their data regardless of storage location or file structure. Once connected, Layar applies deep learning on the data sources creating a unified platform without moving or replicating any of the data. This enables content to be easily accessible and searchable allowing users to:

  • Leverage natural language processing to explore their data in a low-code environment.
  • Extract insights from complex documents and images for streamlined quality assurance, incident analysis and more.
  • Improve competitor and customer intelligence by connecting external sources such as websites or social media feeds to internal data.
  • Visualize sensor and production data from the factory floor in intuitive charts and graphs. With an intelligent data fabric, manufacturers can overcome data silos and accelerate their access to data and insights; all while creating a foundation for smart industry initiatives.

With an intelligent data fabric, manufacturers can overcome data silos and accelerate their access to data and insights; all while creating a foundation for smart industry initiatives.

Adding Expanded Terms to a Column

  1. Highlight a cell or multiple cells you would like to find related terms for. 
  2. Right click the cell(s) and click the Radar – Expand Terms button from the drop down menu or click the radar tab from the right menu bar represented by a radar symbol. 

3. Determine what related terms from the index you would like to add to your table (column) and click the “+” next to the term. Please Note: You must choose what column you would like to add the related term to from the drop down menu located at the top of the related terms list. 

4. Your related term will now be added to the table at the bottom of the column that was indicated from the Add terms to column drop down list.

Sorting in the Radar Tab

Users have different options and combinations of options when sorting the Radar Tab

  1. Proximity – Users can filter proximity by most closely related (down arrow) and least likely related (up arrow) to represent related terms and their relation to the cell that was selected.
  2. Trending – This filter will show the relation between related terms and the selected cell term and how often that appears within the Layar Data Fabric
  3. Show Trend Lines – This represents the trending filter in a line graph form next to each individual related term
  4. Group Terms – Group terms will group related terms that appear in sources together. It is An NLP task thatmerges like-terms (“Vyasa Analytics”, “Vyasa Analytics, LLC” ) into a single term to mitigate redundancy.

Filtering in the Radar Tab

Below are the different filter options for Radar Tab

  1. Click the filter button at the top of the radar tab represented by a funnel icon 
  2. The Search Bar allows users to search for specifics in the related terms list 
  3. Source Filter enables users to select what sources within Synapse they would like to filter the expanded terms to 

4. Types Filter will filter expanded terms based on preset types such as – DNA, Cell Type, Organ, Location and RNA

What is the Radar tab?

The Radar tab assists users in finding contextually similar terms to highlighted terms in their table based on current sources in the system. From this section, users can also search the web and view evidence for expanded terms in the list.

For example, add the term ‘headache’ to a cell in your table and find expanded terms such as ‘dizziness,’ ‘general pain,’ or ‘dysphagia.’

How to Upload a File to Sources

  1. Click the Data Sources tab on the right menu bar on the home screen.
  2. Scroll down to the User Upload Section.
  3. Drag and Drop an accepted file type (.pdf, .doc, .docx) anywhere into Synapse to add the file to sources.

How to Filter the Evidence Tab

  1. Highlight the cell(s) you would like to search within the Evidence Tab. 
  2. Click the Evidence Tab or right click the cell(s) and select View Evidence from the drop down menu. 
  3. Click the Filter button at the top right of the evidence tab represented by a funnel symbol. 
  4. Filter by Standard, User or User Uploaded Sources within Synapse by checking the blue check box of each source you would like to pull evidence from. 

5. To filter by date type in date range in the filter drop down menu.

Options for Evidence Articles

Users have different options within individual articles in the evidence tab.

  1. Open Abstract – Users can click on an individual article/source and it will open an enlarged abstract within the evidence tab.
  2. View Website – Click the blue view website button, this will open a separate tab within your web browser of the article.

3. Download source/article – Click the individual article to open the abstract within the   evidence tab. Click the download button at the top right of the screen. The article will open in a new web browser to download. 


4. Download all of the evidence in your search by clicking the menu button at the top of the evidence page. Click the download button.

5. User can also create a new Workspace from the Evidence