03.03.2020 | Blog Artificial intelligence augments human intelligence

Augmentation means to increase, strengthen, expand and previously the term was known rather from the medical field. But augmentation is also an important factor in the field of software. Because software can support people and optimize their performance. A classic example is the enterprise search and analysis software of IntraFind, which uses artificial intelligence.

The software can not only find in seconds the relevant information that employees need for their work, but also analyze and relate it to each other. To make this work, the software running in the background requires a deep linguistic understanding of the text, which can only be achieved with highly developed AI technology.

Enterprise search software can optimally support employees in their work and strengthen them

1. in the topics, where it is better than human beings - namely in the speed of reading texts and searching them for specific topics or keywords and thus also in the speed of searching through huge amounts of data up to billions of documents in a short time.

2. for routine tasks. With the information received from the software, people can concentrate more on the tasks that really require human intelligence - namely to continue working with this information in a considered manner.

Here are just a few classic example scenarios of how software can augment humans:

Contract analysis
AI-based software analyses contracts and other legal documents and automatically extracts the most important contents and clauses. This is helpful, for example, in due diligence procedures, in which comprehensive contract inventories often have to be evaluated within a very short time, or in the processing of recurring analysis work, such as in mass proceedings. The effect: The lawyers gain more time for their core tasks: Assessing risks, making decisions and looking after clients.
 
The human recognition and processing capabilities are augmented AI-based to the effect that the software functions as an intelligent reading aid and relieves humans of rudimentary cognitive recognition and sorting work, since contracts are automatically broken down into clauses and data points and can thus be better and faster evaluated and further processed by experts. The machine relieves from time-consuming basic work and thus creates space for more technical excellence.

Support in customer service
Customer service employees can use a central search function to look for content from manuals as well as other helpful documents. This saves working time and the customer receives a faster answer to his inquiry - even if he describes the problem in a different way than it is defined in the sample solution of the FAQ database.
 
Also here, as part of the augmentation process, service-relevant content for answering a question is linked by means of intelligent search filters and AI-supported findings are displayed as additional metadata of the document and the knowledge graph. In this way, the user is provided with all the information needed to deliver the right support answer at once through intelligent relevance consideration.

Analysis of GDPR-relevant data
With the help of enterprise search applications, personal data can be tracked down systematically - whether it is stored on file servers, in e-mails, in the ERP or CRM system. This gives employees an exact overview of where data relevant to GDPR is located. This enables them to delete data if necessary and to react quickly to requests for information.
 
The performance improvement in iFinder GDPR results from the ultra-fast extraction of person- or case-specific data, the validation of findings by sorting and displaying them in the hit list, the highlighting of search results in the documents and the document preview as well as the linking of content using intelligent search filters.

E-Discovery
In legal proceedings, enterprise search applications help identify digital evidence and investigative data. Structured and unstructured data such as e-mails are searched. Experts then examine the extracted data to determine whether it is relevant to the case in question.
 
The ability to comprehensively track down compliance-relevant facts with appropriate intelligent filtering and aggregation significantly improves the research and analysis capacities of business users.
 
Analysis of machine-generated data
Maximum added value can only be generated if insights can be gained from IoT data, i.e. machine-generated data, that lead to reliable predictions and comprehensible instructions for action. With the help of enterprise search applications, log data in production processes, for example, can be evaluated more quickly and machines that have caused errors can be identified - and this across data silos.
 
Merging structured and unstructured data into a condensed data basis allows for better analysis and provides a more comprehensive overview for well-founded decision-making.
 
Conclusion: An AI-based enterprise search solution like iFinder of IntraFind provides the employee with the relevant information for his work in the shortest possible time. The artificial intelligence only does a predefined job and extends the human capabilities. However, humans remain irreplaceable, because only they can process the information found, draw conclusions and make the right decisions in a well-informed manner.