Pattern Science AG,
new subsidiary of CID GmbH
CID GmbH has founded a new subsidiary which is called Pattern Science AG. In this way the CID group concentrates its know how regarding computer linguistics and machine learning methods.
Our information society consumes much and we like it – text, audio and video information and, best, in real-time. The internet contains information which increases continuously and which outstrips the human imagination. Today, it’s normal to consume information which is explicitly recommended because it is easy to find. But maybe the more interesting information, because of being more useful, remains hidden because we aren’t able to find them. In this way agglomerate knowledge is archived in the internet, but it is stored in a way which is incomprehensible to computers. Up to now a machine is able to read information out like a human being is able to read tea leaves – it understands nothing. Although the computer obtains precise instructions how to translate the received data into forms, sounds and colors, it isn’t possible to interpret them.
One of the targets of the Pattern Science AG is developing methods to make machines classifying contents, identifying important (semantic) connections between the content and generating recommendation for users. The „Semantic Web“ - which is also called Web 3.0 – is in the starting blocks and it will remarkably increase the visualization and utilization of information.
New offers and methods for commercial as well as for industrial areas arise from the development results of the Pattern Science AG. The essential target markets are media and digital advertisement, financial and trading branches. The products of Pattern Science AG are available for our customers in form of licensable software components and it is possible to implement them in new or existing solutions.
With the developments of the Pattern Science AG we will answer the following questions:
In the media branch
- How do you connect content automatically & dynamically in a significant way (texts, sounds, videos, applications)?
- How do you achieve that also archive content will be provided and available for a topical content offer?
- How do you provide the fitting advertisement to the content automatically?
- How do you extend the advertisement offer, e. g. by the presentation of own AD-words?
- How do you provide content and advertisement fitting to the interests of your users automatically?
- How can you support the editorial stuff to identify new topics easily and to handle contextual content?
In the financial branch
- How do you connect current finance news with funds and share information automatically?
- How do you connect finance applications with current finance news automatically?
- How can you propose further or similar funds and share information to the user based on his interest?
- How do you receive significantly improved statements from auto-adaptive systems about creditworthiness of companies?
In the trading branch
- How can you establish product recommendation for customers based on already bought products by the customer?
- How can you establish product recommendation for customers based on generally-bought products?
- How can you create better special-target group catalogs?
- How can you inform the customers targeted with personalized newsletters?
