We are Austria's leading research center for Data-driven Business and Big Data Analytics.
We
are
Austria's
leading
research
center
for
data-driven
business
and
big
data
analytics.
WHAT DOES KNOW-CENTER DO?
Our vision is to have Cognitive Computing systems that interactively combine human and machine intelligence. In these systems the latest findings and technologies from the fields of Data Analytics, Machine Learning, Semantic Systems and Interactive and Human Centered Design incorporated. Depending on the specific needs of our partners and customers, our approach to problem-solving involves different perspectives: sometimes data acts as starting point, other times we start from the point of view of work processes. Through this approach, we get Austria and Europe economy ready for Big Data and the data-driven business models of tomorrow.
BIG DATA
At the beginning, there is an abundance of different data – also known as the buzzword “Big Data”. These are, for example, unstructured texts, simulation data, experiment data, user data, social media data or interaction data.
WORK PROCESSES
At the beginning, there is the desire to improve existing work processes; together with the idea that innovative information technologies can play an important role in doing so.
DATA
ANALYSIS
The Know-Center detects and traces down the knowledge hidden in this data and systemically organizes it. In order to achieve this, analyses are being carried out and relevant patterns are made visible – thus, the companies can be supplied with valuable information.
ANALYSIS OF
WORK PROCESSES
As a first step, Know-Center aims to understand and analyze the existing work processes in their entirety. While doing so, it is important to draw the right conclusions – as individuals, groups and existing information systems interact with each other.
Design
Prediction
PREDICTIVE SYSTEMS
Data analysis transforms unstructured data into knowledge relevant for taking actions. With the help of this knowledge, a wide range of new and surprising, informative possibilities for application and data presentation opens up for companies. Links between actors, artifacts and relationships that were not transparent beforehand, are now visible.
INTERACTIVE SYSTEMS
As a result of the analysis of existing work processes, we work together with the involved individuals and groups to generate ideas for interactive systems and their development: First, on the paper, then iteratively as increasingly functioning, interactive systems.
INNOVATIVE, INTELLIGENT & INTERACTIVE
COGNITIVE COMPUTING SYSTEMS
The cooperation of people and machines or intelligent recommendation systems in the field of Smart Media environment constitute just two examples that clearly demonstrate the advantages of Cognitive Computing Systems. Applications of such systems can be found among others in Industry 4.0: they allow the cooperation between man and machine in cyber-physical systems, carry out Preventive Maintenance by pointing out forthcoming production outages early on or support complex activities through Augmented Reality. In the world of Smart Media, such systems generate recommendations based on usage and content of resources, and analyze content, sentiment and distribution of media. In areas such as Computational Life Sciences or Open Science, these systems supply users with urgently needed knowledge.
WHAT DOES KNOW-CENTER DO?
Our vision is to have Cognitive Computing systems that interactively combine human and machine intelligence. In these systems the latest findings and technologies from the fields of Data Analytics, Machine Learning, Semantic Systems and Interactive and Human Centered Design incorporated. Depending on the specific needs of our partners and customers, our approach to problem-solving involves different perspectives: sometimes data acts as starting point, other times we start from the point of view of work processes. Through this approach, we get Austria and Europe economy ready for Big Data and the data-driven business models of tomorrow.
BIG DATA
At the beginning, there is an abundance of different data – also known as the buzzword “Big Data”. These are, for example, unstructured texts, simulation data, experiment data, user data, social media data or interaction data.
DATA
ANALYSIS
The Know-Center detects and traces down the knowledge hidden in this data and systemically organizes it. In order to achieve this, analyses are being carried out and relevant patterns are made visible – thus, the companies can be supplied with valuable information.
PREDICTIVE SYSTEMS
Data analysis transforms unstructured data into knowledge relevant for taking actions. With the help of this knowledge, a wide range of new and surprising, informative possibilities for application and data presentation opens up for companies. Links between actors, artifacts and relationships that were not transparent beforehand, are now visible.
WORK PROCESSES
At the beginning, there is the desire to improve existing work processes; together with the idea that innovative information technologies can play an important role in doing so.
ANALYSIS OF
WORK PROCESSES
As a first step, Know-Center aims to understand and analyze the existing work processes in their entirety. While doing so, it is important to draw the right conclusions – as individuals, groups and existing information systems interact with each other.
INTERACTIVE SYSTEMS
As a result of the analysis of existing work processes, we work together with the involved individuals and groups to generate ideas for interactive systems and their development: First, on the paper, then iteratively as increasingly functioning, interactive systems.
INNOVATIVE, INTELLIGENT & INTERACTIVE
COGNITIVE COMPUTING SYSTEMS
The cooperation of people and machines or intelligent recommendation systems in the field of Smart Media environment constitute just two examples that clearly demonstrate the advantages of Cognitive Computing Systems. Applications of such systems can be found among others in Industry 4.0: they allow the cooperation between man and machine in cyber-physical systems, carry out Preventive Maintenance by pointing out forthcoming production outages early on or support complex activities through Augmented Reality. In the world of Smart Media, such systems generate recommendations based on usage and content of resources, and analyze content, sentiment and distribution of media. In areas such as Computational Life Sciences or Open Science, these systems supply users with urgently needed knowledge.
News
Here you find the lastest news about our current activities and most recent achievements
Success Stories
Together with our partners we develop innovative solutions and convert our competences into competitive advantages for the industry.
Our team
Meet our team of accomplished experts and talented young people who are specialists in computer science, economics, psychology and design.
