Knowledge
Graphs and
Artificial Intelligence Solutions

Optimize your use of knowledge
and create additional value from it!

Why this is relevant?

Knowledge Management works best, when strategy, structure, people, culture, IT, and processes work together well. Knowledge graphs are the backbone of digitalized knowledge management, playing a vital role in the integration of the corporate knowledge base. They structure the knowledge with regards to the company, its customers, products and processes, the staff and even the various languages spoken by different user groups. Knowledge graphs provide a personalized access to information and makes finding, sharing, using and capturing of knowledge much easier.

Additionally knowledge graphs allow to tailor AI-solutions to the real context of the company, and provide e.g. user-specific search results, or give smart recommendations based on the user behaviour or colleagues. Knowledge graphs are the fundament, on which AI-Solutions start to create real value, because without a knowledge graph, AI-solutions are quite blind and do not reflect the specificities of your company.

Partnership with Semantic Web Company – PoolParty
Knowledge.city is a certified implementation partner of the semantic web company, a global technology leader for the development of knowledge graphs and AI-solutions.

How we do it?

• Strategy and design workshop
  Knowledge.city facilitates workshops to strategize your way towards knowledge graph and Artificial Intelligence solutions. This helps to get a good understanding of the approach and how to create value for your company.
• Starter kit
  In a concentrated, efficient process of a few weeks, we will create use-cases that are practical, going into the details of operational processes and creating a tangible, working output. The starter kit will facilitate the understanding of how to create value from semantic technologies, knowledge graphs and artificial intelligence solutions, taking up to 28 hours of web-based and f2f-training.
• A prototype of the knowledge graph
  The prototype will be developed and the validity of it will be tested, using real content by real people in real context.
• A pilot version of the semantic web
  The pilot version will be implemented to manage the knowledge graph and AI-solutions.
• Full roll-out and maintenance
  After successful prototyping the graph will be further developed and rolled out to all users.
  Additional use-cases can be developed towards a fully implemented KM- and AI-Strategy.

Results and benefits

• Clear strategy for knowledge integration: Long-term strategy to structure your data, information, knowledge, creating value added through AI
• Fast value-creation and learning: Through the explorative approach, the benefit comes fast; roll-out comes with experience and competence.