Machine Learning, Artificial Intelligence and Cognitive Search Using machine learning methods trained systems can be used to independently index and categorize vast amounts of data. The machine recognizes the content of the document and classifies it according to previous assumptions and experiences. For the search the underlying vector mathematics offers new scenarios e.g. a comprehensive search in foreign language texts without translating them. Since the advent of of speech based
The product intergator by the company interface projects GmbH from Dresden is currently being tested as part of the CD&E knowledge management project “MErk”. The project focuses on unlocking knowledge that exists in the intranet but is difficult to find without the right tools. Decisive factors for the Bundeswehr Office for Defence Planning were in particular functionalities of intergator in the field of cognitive search and the capability for machine
New video clip showing smart features of intergator 5.4.x The retrieval of relevant information from big contents has made a huge leap forward with the 5th generation of intergator. Through the application of machine learning methods the automatic semantic analysis of digital contents has reached a new level, enabling image search and image recognition among other smart data functions. The intelligent company-wide search now has an integrated content management system
The further development of intergator continues in 2017, driven by the needs of our customers, findings from ongoing research projects and current market trends. A main focus is the semantics area, which – supported by machine learning methods – is continuously expanded for automatic content analysis. What is new is the combination of automatisms combined with the possibility of manual input for an intelligent content management, all within one system.
Business decisions based on complex data analyses: Challenges & opportunities The steadily advancing digitization of business processes – from personnel administration, product management and production to customer support – allows for complex decision-making processes to become more sustainable on the basis of comprehensive data. However, this presupposes that the relevant data is available at decision-making levels and can be analyzed in the context of the decision-making process. So far only
When I wrote my last blog post 16 months ago I had not imagined to be part of the intergator team for so long. Nevertheless, following my internship I was not only offered a student job, but after that the opportunity to write my diploma thesis here. What had been the focus of my internship assignment I wanted to expand on in my thesis: How can enterprise search be further enhanced