{"id":1723,"date":"2020-03-18T12:05:58","date_gmt":"2020-03-18T11:05:58","guid":{"rendered":"https:\/\/www.servicemeister.org\/?page_id=1723"},"modified":"2020-03-18T13:29:44","modified_gmt":"2020-03-18T12:29:44","slug":"ai-background-knowledge","status":"publish","type":"page","link":"https:\/\/www.servicemeister.org\/en\/ai-background-knowledge\/","title":{"rendered":"AI background knowledge"},"content":{"rendered":"\n

What is AI and what impacts can we expect?<\/h2>\n\n\n\n

AI, in the simplest sense, is when machines replicate individual capabilities of humans. Today, AI solutions are mostly capabilities adapted to a specific problem. Examples are the optical inspection of goods for defect detection or the analysis of job application letters.
 <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Fig. Overview of the fields of application of artificial intelligence – Source: Arthur D. Little, eco e. V<\/em><\/p>\n\n\n\n

\n\n\n\n

AI will influence the entire value chain and, in the long run, AI solutions will solve more than just pre-specified problems. The categories of AI:<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Fig. The categories of AI – Source: Arthur D. Little, eco e. V<\/em>. <\/p>\n\n\n\n

\n\n\n\n

For companies to be able to use AI successfully and thus generate sustainable benefits, four factors must be considered. AI is only a factor in two of these .<\/p>\n\n\n\n

1. Which technology is AI based on?<\/h3>\n\n\n\n

AI is not a single\ntechnology, but consists of three essential building blocks that result in AI\napplications. This is a significant difference to other technologies that can\nbe considered as single building blocks, such as database systems.<\/p>\n\n\n\n

The building blocks for the development of AI applications are data (including databases), machine learning, and neural networks or analytical models. Only the combination of these can create AI applications. AI does not create any benefits at the exclusively technological level, unlike other technologies.<\/p>\n\n\n\n

2. What are the benefits of AI? <\/h3>\n\n\n\n

The added value and benefits of AI arise from the practical application in business processes. We divide the added value into three areas: language recognition, image recognition, and logical reasoning. More than 150 specific AI applications are known to support business processes today. We assume that by 2025 one third \u2013 at least 50 specific applications \u2013 will be established in practice and will be part of normal operations. AI will support employees and increase the degree of automation in manual and repetitive activities by at least 50 percent. In addition to the technology and the benefits of AI, alasting successful deployment calls for conditions to be met in terms of the strategic change of companies and thecreation of legal framework conditions. <\/p>\n\n\n\n

3. How can AI be implemented? <\/h3>\n\n\n\n

AI will have a direct or indirect impact on all business areas along the value chain. Enterprises should begin implementing AI application cases in 2020 to leverage the technology. This requires not just a pragmatic approach to the introduction of AI applications (and technology) but, in particular, an analysis of their structural impact. As is the case with digitalization, companies need to build the right competencies and adapt business processes and models for the long-term. This begins with the question of whether assets and capabilities in an \u201cAI world\u201d still allow differentiation between products and services. It also factors in aspects of future cooperation between humans and machines. This calls for innovative concepts for overarching governance and, in particular, ownership of data \u2013 two challenges familiar from digitalization and which have been resolved by very few companies. A more detailed outlook on the necessary strategic change is given in Chapter 5 .<\/p>\n\n\n\n

4. What is the regulatory framework for AI?<\/h3>\n\n\n\n

The handling of AI and its impact on the state, society, and economy raise questions about the political, legal, and societal regulatory framework for AI. Chapter 6 presents the strategic approaches taken by governments and intergovernmental organizations on this issue. <\/p>\n\n\n\n

The most important use cases of AI are :<\/h3>\n\n\n\n

In Manufacturing:<\/strong>
approx. 11 % higher productivity t<\/p>\n\n\n\n