7. July 2022

k2 PID Cockpit launched

Together with the consulting company Kompetenzzentrum Records Management (krm), we launched the k2 PID Cockpit for identifying and cleansing personal data in heterogeneous IT landscapes. The solution based on the text analysis platform HIBU uses automated AI-based processes for identifying and extracting personal data.

On September 1, 2023, the new Swiss data privacy law will take effect. Individuals will then have the right to know what personal identifiable data (PID) companies store about it. Upon request, companies have to delete or correct this data. Thus, data protection officers, governance & compliance specialists, and HR departments in SMEs and large companies should be well prepared.

Today’s heterogeneous data storage with different data pools can make requests for information, deletion, and the identification and accessibility of personal data, a real challenge. That’s where the k2 PID Cockpit helps:

Unlike traditional approaches, it allows direct access to affected data pools and the integration of various data sources. It offers transparency in identifying a wide range of structured and unstructured data sources that contain personal data.

By automatically locating documents and records containing sensitive personal data, companies benefit from massive time and cost savings and comply with requests for information and deletion. (Elisabeth Maier, CEO Karakun)

The k2 PID Cockpit builds on our text analysis platform HIBU, can easily be adapted to individual customer needs and can be integrated into a wide variety of IT infrastructures. The solution searches for personal data in standard and proprietary “home-grown” solutions as long as there is an application programming interface (API) to access the data sources. The system can recognize both company and industry-specific text types and language patterns. It can be hosted on-premises and in the cloud. Finally, the k2 PID Cockpit can also build a basis for assessing whether data storage complies with legal requirements.

The benefits of the k2 PID Cockpit are its consistency and reproducibility.
Automated AI-based processes replace monotonous and error-prone manual work. And the identification and extraction of information are objectified. The results of the PID Cockpit are insofar resilient, reproducible and consistent. (Bruno Wildhaber, CEO of krm)

We are happy to discuss your individual requirements. Give us a call at +41 61 551 36 00 or send us an email to hibu@karakun.com.

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20. May 2022

Karakun @ SwissText 2022

From June 8 to 10, 2022, text analysis experts from industry and academia meet at SwissText 2022 at SUSPI in Lugano. In addition to our commitment as a Gold-Sponsor, we will be presenting ourselves at the exhibition. We also actively contribute to the top-class conference program with the following talk:

Integrating ML-based Classifiers into an Enterprise Search System

HIBU is a proprietary software platform that we use to build customer solutions around enterprise search and multilingual text analysis. Its architecture provides two analysis pipelines: a first one embeds basic NLP steps, based on the detected document language and used to pre-elaborate the document’s content; a second one contains a sequence of high-level annotators, able to discover information in the document. Some examples are extracting entities from the text, such as persons, places and organizations, identifying paragraphs containing confidential information etc.

Both pipelines use the framework Apache UIMA to combine the annotators that are relevant for the target application. Each single one can be adapted and switched on and off by configuration. Moreover, the framework allows us to add new annotators based on the individual customer’s needs.

In this context, we recently integrated some new ML-based annotators as part of an Innosuisse project carried out in collaboration with SUPSI and DSwiss (“EXTRA”, presented separately, leveraging a fine-tuned version of the pre-trained BERT model and other ML technologies). These annotators allow us to provide scalable document classification, as well as customized information extraction, to be used by applications for further workflow-based functionalities.

In this demo we will show how we wrap the new functionalities into the base platform, and how these are integrated to further enrich the final results.

At our booth in the exhibition area, interested visitors can inform themselves about our HIBU platform. HIBU is a flexible software platform for the cost-effective development of customer solutions, especially in the areas of enterprise search, business intelligence and workflow automation.

Get in touch with us
28. June 2021

SwissText 2021

For the 6th time, the three-day online conference Swisstext took place from 14-16 June 2021. The conference is the meeting place for text analysis experts from Swiss business and research. It is organized by the association SwissNLP (in cooperation with the two universities FHNW and ZHAW). As regular participants, we were also involved this year with a contribution. The poster “Understanding structural information in scanned documents” shows our approach for analyzing and processing tabular information in scanned documents.

Information extraction from tables

With our HIBU-Plattform, we develop custom solutions in the areas of enterprise search and text analytics. In these projects, we often deal with scanned documents that are digitized using OCR software. Standard extraction methods work well for continuous text but generally deliver insufficient results for tables because they ignore the table layout and thus hide important information / relationships. Typical problem areas are table cells whose content breaks across multiple rows, especially cells whose content can only be interpreted using the associated column heading.

Poster

Do you have any questions about the poster or the procedure?. Dr. Holger Keibel will be happy to answer them.

Networking at an online conference? Check!

How can participants at an online conference effectively link up with interesting contacts? That was one of the questions we asked ourselves when offering the organizers of SwissText 2021 our help.

The result was a networking format in which each participant in a session was randomly sent into a virtual room together with three other people. Once there, each person had a limited amount of time for a personal introduction. Before the session automatically ended, participants could exchange contact details if interested.

Of course, such a format cannot replace face-to-face exchange on site. But within the possibilities of an online conference, it worked very well. As the feedback from the participants shows, it was worth taking part:

SwissText 2021 has just ended – and we are already looking forward to next year. Hopefully on-site – but certainly once again with active support from Karakun.

14. June 2021

Secure and retrieve sensitive data

More and more data is being digitised or produced directly in digital form. And more and more data and applications are moving to the cloud. Companies have to ask themselves how they can efficiently handle these volumes of data, evaluate them and find information in them. And how they deal with data that needs to be protected, in particular. How do you manage to offer automatic processing (AI) and other beneficial functions around data and reconcile these functions with data protection at the same time?

As part of the bridge2digital Security & Compliance event, we illustrated these challenges together with our partner DSwiss AG using current joint projects in the intersection of both companies. We took a closer look at search solutions and automatic document processing in the context of “zero-knowledge” data encryption.

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Would you like to learn more about SecureSafe, the integrated intelligent search or the HIBU platform?

Case Story SecureSafe
zu Securesafe
16. November 2020

Karakun joins SwissNLP

Karakun AG is the latest member of SwissNLP.

SwissNLP aims to promote Natural Language Processing (NLP), Computational Linguistics and Text Analytics in Switzerland. The association brings together experts, solution providers and customers from industry and academia and organizes events and projects for NLP in Switzerland. SwissNLP is going to organize the upcoming Swiss Text Analytics Conferences.

AI (not only) for SME

Our in-house developed HIBU-Platform combines established and innovative technologies in the areas of enterprise search, language analytics and artificial intelligence (AI). Our customers benefit from rapid implementation of applications at budgetable costs.

Together with universities, we are validating new Deep Learning approaches that are ideally suited for SME as they normally have only a limited amount of data available.

Get in touch with us to discuss your individual project.

Get in touch with us
20. October 2020

AI (not only) for SME

Customers typically approach us with a broad range of business cases and specific business needs. Gathering adequate, high-quality test data in order to train AI systems for industry use cases was a great and expensive challenge – until now.

We use advanced technologies to reduce the amount of needed training data to a minimum thus making AI projects attractive and affordable for SME.

We presented our approach to KI experts at the AI-SDV 2020.

Want to know more?

We would be happy to advise and support you in the implementation of your AI project. If you would like to find out more about us and our HIBU platform, send us an email to hibu@karakun.com.

Get in touch with us
3. July 2020

Demo-Video SwissText 2020

On June 25, 2020, we presented together with Tobias Christen, CEO of DSwiss AG, the digital vault SecureSafe and its comprehensive search functionalities. In this talk, we mainly focussed on the text analytics aspects of the solution developed with HIBU.

In this video, you will learn about the challenges of analyzing and indexing documents in a highly secure, multiple-encrypted environment, the use state-of-the-art neural network architectures as well as smart actions with text-based triggers.

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Want to know more?

Get in touch with us!
Case Study Secresafe


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