Making human knowledge comprehensible to machines
The right information at the right time at the right place and in the right format – this is often the decisive difference in competition and gives companies a valuable distinguishing feature. For with this knowledge, new business models, services and products, for example, can be developed and customer loyalty can be intensified in a targeted manner. The necessary prerequisite: The relevant data must be structured and combined, analyzed and interpreted. In order to then derive suitable measures. And this is where the actual challenge begins. In companies, data are often unstructured, stored in isolation in various formats, they are often difficult to access or comprehensible only to experts. In addition, there are security and governance aspects. The consequence: The potential, which is actually enormous, remains largely unused.
With Enterprise Knowledge Graphs, this situation can be fundamentally changed. Because they make the knowledge of employees comprehensible to machines. For this purpose, all data sources in a company are linked with each other and enriched with external information in a Knowledge Graph. In addition, business processes can be precisely mapped, and all the facts and the relations between the facts are shown in Knowledge Graphs. For this purpose, an ontology must be developed to provide the environment in which all the data and entities can be located. All this is the input that adds a semantic dimension to AI models, and thus raises them to a new level: AI models now understand information, can grasp its meaning, and ultimately present measures for users of AI in a logical and comprehensible way.
In our MHPDeepDive "Next Level AI with Enterprise Knowledge Graphs", you will find out how these innovative knowledge databases operate and what they can do for your company. We will show you why Enterprise Knowledge Graphs take AI to the next level. We will present a prototype and familiarize you with concrete use cases.
What awaits you in our MHPDeepDive:
- We will show you why you should concern yourself with the topic of (Enterprise) Knowledge Graphs.
- You will learn what Enterprise Knowledge Graphs are and how they can benefit your company, which we will demonstrate on the basis of best practice applications.
- We will show you what the next concrete steps on the way to the Enterprise Knowledge Graph and to Next Level AI applications may look like.
Data Scientist, MHP
Beginn: 11:00 (CET)
Ende: 11:30 (CET)