Tag: Government

DON’T MOVE YOUR DATA. UNIFY IT.

Written by vyasa on . Posted in USE CASES.

It’s never been easier to share, store and replicate data thanks to our increasingly digital working environments. While this scenario has made activities like collaboration and remote work seamless, the deluge of new data produced within organizations is creating strains on IT systems and resulting headaches for the professionals in charge of managing them. Considering that 64.2ZB1 of data was created or replicated in 2020 alone, it’s no wonder data has not only become the lifeblood, but also the thorn in the side of enterprise IT departments.

Problem

Over 80% of organizational data is dark2. IT teams are suffering from dark data if they’re challenged with:

  • Multiple data silos
  • Redundant or obsolete files
  • Unstructured content such as images, PDFs, presentations decks, etc.

Largely inaccessible, yet rich in insight, simply sitting on this data can lead to missed intelligence that can influence product development, sales strategies or competitor research that can drive successful businesses. Tasked with solving this problem, IT teams traditionally turn to unsustainable solutions that require expensive and time consuming data migrations.

Solution

A new data architecture is changing the way IT professionals can approach data management. Known as the data fabric, IT teams can unify data sources across their environment, regardless of whether files are stored on premise or in the cloud. No need to duplicate your data or storage and no data lake required.

Vyasa takes this a step further with its Layar deep learning data fabric. Combining the data fabric architecture with novel approaches to deep learning, IT teams that integrate their data within Layar make their content easy to search, explore and visualize, regardless of file format.

Listed as the #1 strategic technology trend for 2020 by Gartner3, data fabrics are poised to eliminate the need for costly data migrations that can impact productivity and create new data management issues for IT teams.

1 Reinsel, D and Rydning, J. (2021). IDC Global DataSphere https://www.idc.com/getdoc.jsp?containerId=IDC_P38353

2 IBM (2015, November 23). The Future of Cognitive Computing. https://www.ibm.com/blogs/cloud0archive/2015/future-of-cognitive-computiving/

3 Gartner (2021). Gartner Top Strategic Technology Trends for 2022 https://www.gartner.com/en/information-technology/insights/top-technology-trends

MODERNIZING GOVERNMENT DATA INFRASTRUCTURE

Written by vyasa on . Posted in USE CASES.

The impact of the COVID-19 pandemic has spurred innovation in state and local governments. A critical part of these efforts is modernizing IT systems that can support remote operations and collaboration across departments. As municipalities look critically at their current infrastructure, it’s clear that digital transformation will play a key role in years to come.

Problem

As part of the IT modernization process, governments have been undertaking massive projects to digitize records, turning difficult to manage physical documents into unstructured and siloed data sources. These data sources include:

  • Permits & certificates
  • Public health records
  • Court & legal filings
  • Budget forecasts
  • Environmental analysis

While a step in the right direction, this issue doesn’t make records any easier to search or manage. Tackling data accessibility problems will be key to making a more resilient and collaborative government sector a reality.

Solution

A new data architecture is changing the way government IT professionals can approach modernizing their data infrastructure. Known as the data fabric, IT teams can securely unify data sources across departments of government, regardless of whether files are stored on premise or in the cloud. No need to duplicate your data or storage and no data lake required.

Vyasa takes this a step further with its Layar deep learning data fabric. Combining the data fabric architecture with novel approaches to deep learning, IT teams that integrate their data within Layar make their content easy to search, explore and visualize, regardless of file format. This makes researching and accessing legal files, public health records, permits and certificates and more a matter of minutes instead of hours or days.

Listed as the #1 strategic technology trend for 2020 by Gartner1, data fabrics are poised to eliminate the need for costly data migrations that can consume budgets and create new data management issues for IT teams.

1 Gartner (2021). Gartner Top Strategic Technology Trends for 2022 https://www.gartner.com/en/information-technology/insights/top-technology-trends

ACCELERATING LEGAL RESEARCH & ANALYSIS

Written by vyasa on . Posted in USE CASES.

Law firm associates spend roughly 35% of their time, or 15 hours per-week, conducting research tasks.1 These tasks are largely conducted online across multiple sources and leveraging various research tools.

Problem

Effective research is a critical step of any legal team’s activity – from analyzing cases to identifying laws to determining legal precedent. Collecting these insights requires sifting through large sets of unstructured content, including published reports, legal filings, written case notes and more. Unfortunately, the industry has largely relied on manual processes for conducting this research which is time and labor intensive. As a result, insights are often missed and legal professionals assigned to these tasks often become disengaged or burnout.

Solution

Advancements in data management and deep learning are addressing this issue head on. A new data architecture known as the data fabric, enables legal professionals to catalog all of their research data sources in one place, regardless of file format or storage location. The data fabric then acts as an engine for deep learning models to perform text analytics making content easily searchable.

With Vyasa’s Layar data fabric and novel deep learning applications, these capabilities are combined into a single platform enabling legal professionals to:

  • Make data sources accessible across departments. (No need to duplicate your data or storage and no data lake required.)
  • Easily research large sets of documents via natural language question answering.
  • Explore search outcomes via highly-visual applications including knowledge graphs, tables and dashboards.
  • Improve the discovery of novel insights hidden within unstructured content such as reports and case documents.

With Vyasa, legal professionals can improve query accuracy by 97% while decreasing analysis time by 90% leading to more efficient research and smarter legal insights.

1 Lastres, S. Rebooting Legal Research in a Digital Age https://www.lexisnexis.com/documents/pdf/20130806061418_large.pdf

SMARTER CALL CENTERS – IMPROVING REP RESPONSE

Written by vyasa on . Posted in USE CASES.

Call center representatives are under immense pressure. They must process large amounts of information and quickly answer questions all while managing caller expectations. In most cases, they’re armed with outdated technology and complicated software which doesn’t make their work easier. No wonder call centers have such a high turnover rate.

Problem

To effectively respond to caller requests, representatives typically rely on searching lengthy documents that are in a variety of formats and saved across various locations. Finding the right insights they need is time consuming and in most cases they’re only collecting a small portion of the information available to them. This leads to delays, missed or incorrect information and ultimately, a poor customer experience.

Solution

Advancements in data management and deep learning can improve the way call center representatives gather information and serve customers. Through a new data architecture known as the data fabric, Vyasa can unify all data sources available to a call center into a single platform. Deep learning models built by Vyasa can then be applied to the unified data making it easy to search and access in a matter of seconds.

With Vyasa’s Layar data fabric and deep learning applications, call centers can:

  • Make data sources accessible across departments. (No need to duplicate your data or storage and no data lake required.)
  • Quickly search for and access documents in a single location.
  • Query large sets of documents via smart spreadsheets and dynamic knowledge graphs.
  • Discover related concepts and insights with named entity recognition.
  • Extract information into easily shareable file types.

With Vyasa, call center representatives can improve research accuracy by 97% while decreasing analysis time by 90% leading to enhanced call center response and a more positive customer experience.

Unifying Data. Accelerating Insights.

Applications

Layar

Cortex

Synapse

Axon

Signal