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Join us at ISPIM Innovation Conference

Author: Alexander Madl

Apr 25, 2021

Read more about the Event

Abstract to our Presentation on ISPIM:

Algorithm based analysis of large-scale public domain information

The vast amount of information resources in public domain holds valuable gifts for many industries and purposes. However, in today’s business environment, decision makers often face an increasing difficulty to navigate through the complexity coming with the exponentially growing amount of information to process. We believe that only using the advantages of computing power and intelligent constructed algorithms combined with human expertise allows for navigating and curating this information to make informed and un-biased decisions.
Public domain information can be used for business decisions from evaluating a company and its IP portfolio for a financial investment, the strategic decision where to put emphasis in R&D up to gathering market information for a new business development case or just finding the right expert to hire for an innovation endeavour.
We developed a process to collect, link and evaluate contents of large amounts of documents with an intelligent algorithms. With our system we are showing trends, answering complex questions, mapping technologies or matching customer needs with technology offerings. We generate this value by processing 50.000 – 100.000 documents of varying complexity in very short time – much more than a human expert ever could be. The traditional approach of search string engineering risks many false negatives aka documents or information overlooked, whilst the search results still contain false positive amongst the valuable documents.

Our approach allows us to use much less domain restriction. Therefore our analysis is based on information that is truly lossless. Every sentence is analysed by novel algorithms, generating insights in incomparable contextual depth.

Due to our unique approach, we merge different data types, such as patents, scientific publications, technical texts, annual reports of corporate or academic institutions, conference proceedings, import and export databases filings and so forth to generate a new level of insights.
In this talk we aim to present this novel approach first time to a wider audience and show its practical value to accelerate innovation with use-cases.


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