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The Researcher Workspace Reviews & Product Details

The Researcher Workspace Overview

What is The Researcher Workspace?

The Researcher Workspace is build for Researchers in corporate R&D and academia to better handle vast amounts of research documentation. It is a content-centric platform that provides the user with a range of smart, AI-based tools to better navigate, review, filter down and extract data from research documents like papers, patents and internal documentation. 75% time savings have been shown, opening up researchers' time for more value creating tasks. Tools include a content based exploratory recommendation engine; an analysis tool for full document sets; smart filters based on either the machine's analysis or the user's own context descriptions; automatic summaries of multiple documents; and automatic extraction of table data. The platform allows the users to load any type of research documentation into these tools; from Open Access or Paywalled collections, patent collections, their own PDF collections or BibTex/CSV or similar exported files from reference managers.

The Researcher Workspace Details
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Product Description

The Researcher Workspace is build for Researchers in corporate R&D and academia to better handle vast amounts of research documentation. It is a content-centric platform that provides the user with a range of smart, AI-based tools to better navigate, review, filter down and extract data from research documents like papers, patents and internal documentation. 75% time savings have been shown, opening up researchers' time for more value creating tasks. Tools include a content based exploratory recommendation engine; an analysis tool for full document sets; smart filters based on either the machine's analysis or the user's own context descriptions; automatic summaries of multiple documents; and automatic extraction of table data. The platform allows the users to load any type of research documentation into these tools; from Open Access or Paywalled collections, patent collections, their own PDF collections or BibTex/CSV or similar exported files from reference managers.


Seller Details
Seller
Iris.ai
Year Founded
2015
HQ Location
Norway , NO
LinkedIn® Page
www.linkedin.com
27 employees on LinkedIn®

Anita S.
AS
Overview Provided by:
AI to make R&D better. // Simplifying complexity while retaining nuance. 🦄 CEO & Co-Founder at Iris.ai // Faculty in AI at Singularity // Board member // Public speaker // Norway + Denmark + global (Maiden name: Brede)
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The Researcher Workspace Media

The Researcher Workspace Demo - Smart filters
The machine will generate an analysis of concept and topics prevalent in a specific data set, to use for smart filtering, and also allow the user to apply self-written contexts as text matching filters, in addition to regular metadata filters.
The Researcher Workspace Demo - The Researcher Workspace content collections
The tools are content centric, and can be applied to any content collection the user prefers.
The Researcher Workspace Demo - Exploratory visual search
The Explore tool, a content based recommendation engine, allows the user broad overview over a new field before diving in.
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