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11.12.2019 | News IntraFind predicts five AI trends for 2020

IntraFind, specialist in the field of AI software, predicts five central AI trends for the next year.

Artificial intelligence will again be a topic that will occupy companies next year. IntraFind Software AG, a search specialist that also uses AI and state-of-the-art machine learning methods for its solutions, sees five central developments:

1. Real added value of AI is used. After years of AI hype, the topic is now slowly coming back to reason. More and more companies are realizing that the many exaggerated marketing announcements that artificial intelligence could replace or even surpass human thinking were completely unrealistic. Instead, they are now increasingly recognizing the true added value of AI: relieving employees of standard and routine tasks by automating them, thereby giving them more freedom to perform tasks that require their natural intelligence.

2. Augmentation becomes reality. Companies will use this added value in more and more places to "augment" their employees, i.e. to expand their human intelligence with artificial intelligence. In more and more areas, AI-based software solutions will be available to support and relieve employees. These include, for example, solutions that analyze legal documents and independently extract the important contents, so that employees no longer have to search through pages of documents manually.

3. Expertise is democratized. One effect of this augmentation is the democratization of specialized knowledge. AI-based software enables employees to access the specialized knowledge available in a company. For example, by making the solution to technical problems quickly accessible to new customer support staff, they will soon be able to help customers as competently and quickly as their experienced colleagues.

4. Transfer learning is being used more and more. A technical AI trend for 2020 is the growing use of so-called transfer learning. In this approach, neural networks that have already been pre-trained for a specific purpose are used as a starting point for some other task. In this way, the trained network can use what it has already learned and the new project does not have to start from scratch, saving a lot of time and effort. This method promises advantages, especially when using "Big Data" models to solve "Small Data" problems.

5. AI helps with data protection. After the German Data Protection Act (DSGVO) had been in force for a year in May 2019, the authorities have given up their restraint. They announced that they would impose increased penalties for violations and have already put this into practice. Companies will therefore now increasingly use AI-based software solutions to comply with the DSGVO and other data protection regulations. Such solutions will, for example, determine the personal data of a specific person in the event of a request for information or find out where DSGVO-related data is located throughout the company.

"The fact that AI can't perform miracles has become common knowledge in companies", says Franz Kögl, CEO of IntraFind Software AG. "Now it is time to put our typical security thinking patterns to rest, to take advantage of many more opportunities than to constantly put risks in the foreground and finally to start using the added value that artificial intelligence can really offer us; namely, to provide insights that would escape the human eye, to relieve employees of standard tasks and to make it easier for them to access the information they need".