By Christian Setzwein October 29, 2020
The year is 2028. IndFastHighQuality is producing the first cars that are customized to the new driver’s personal style. Unlike ten years ago, when this style was determined by spending hours filling out questionnaires about optional extras, No, this is now done automatically by an AI system, with a few photos from vacations, parties and the proud new owner’s streaming libraries. The car is 100% customized: body, control panels, engine performance, tires, special software, everything, 100% coordinated.
Operating instructions are a thing of the past. Drivers are addressed by their car, in their language and only as often as is pleasant and at their own individual pace. Of course, they can also ask questions, and the appropriate answers will come immediately. The vehicle was manufactured in a flexible process that adapts to the manufacturing conditions every second. Material availability, customer requests, machine breakdowns – none of this is a problem. Even a customer request that comes in late can still be incorporated, because the processes are controlled by an AI and no longer consist of rigid building blocks.
The quality of the product is outstanding. Thanks to modern AI units, 1,000,000 times as many tests are carried out during production and up to delivery as were possible just 10 years ago. While the new vehicle is in use, further tests are carried out, and the number of tests per year will increase tenfold. It’s hard for any problems to slip through. IndFastHighQuality has become a market leader within 4 years, the whole business model is based on the consistent use of AI. IndFastHighQuality is an AI company.
AI has also affected all other industries. Just as with the advent of the internet, completely new business models have emerged and entire industries have changed completely within a few years. Some companies that were quick to embrace the new technical possibilities are now market leaders, just like Amazon was with the internet. Companies that missed the trend are struggling and are now trying to catch up. However, there are areas in which companies have built up such strong AI expertise and can process the data collected from their customers to their advantage that they get further data from their customers, which in turn greatly improves their services. A cycle that competitors can no longer counteract, and which binds customers to these AI companies for a long time. In any case, the style AI of IndFastHighQuality is unbeatable for means of transportation. The company is now considering whether it would also like to manufacture bicycles and completely customized kitchen furniture. This could make it more difficult for companies in these industries.
Fortunately, this time, unlike the situation with the internet, we have not completely overslept the AI trend in Germany. This time, some world market leaders come from Germany and Europe because the decision-makers in the companies quickly and consistently recognized the importance of AI technology. IndFastHighQuality is a European company. All functional areas of companies in all industries are now affected by the switch to AI systems. HR, research, production, marketing, sales, finance, organization - AI systems are used everywhere to make it easier for people in the departments to focus on the actual purpose of their work and to improve performance for their employees and customers.
A look back at the year 2020
The year is 2020: DoNotCare has done it again. Despite the economic crisis caused by the coronavirus pandemic, the company has made the same profit as last year. Of course, they got lucky, being in the right industry. Above all, they saved money and didn’t engage in useless experiments. All this constant changing does is cost money. Recently, everyone has been talking about the next hype, this AI topic. As if we needed a chatbot now, we have completely different problems. What the stuff is supposed to be, nobody knows at the moment. In any case, we don’t want to find out and waste our energy. Let’s wait and see and cross our fingers that we’ve come through the crisis so well.
NoDataScience is a bit worried. Word on the street is that the competition is now planning to do something with AI and machine learning. Fortunately, everything is in the fog, because it doesn’t seem to be that easy with AI after all. You need data and a lot of skills to get something out of it. Maybe it’s all just hype, like so many things, it will soon die down. **We don’t have that much data at the moment anyway, just a simple DWH, as you would expect. The competition already has more data from the customer. It also fits better into their strategy **, they are constantly trying to understand their customers. We have been able to rely on our product for many years, it’s unbeatable at the moment. How should AI help competitors build something better in quality? Maybe we’ll send someone to an AI training course next year, that’ll have to do for now. Oh yes, and we’re also doing a ChatBot project next year, so we’re doing something for the customers and real AI is also involved there. That’s all the budget will cover.
TheEarlyOne is launching a very special AI service for its customers at the beginning of the year. Everyone is excited to see if it will give the company the expected boost. A year ago, no one would have thought that this service could happen so quickly and that it would be possible to find such a great addition to our proven products. They also had a bit of luck on their side: the CEO had heard about the new possibilities at a lecture and asked to take a closer look at them. After the first YouTube videos, a working group was quickly formed to collect initial ideas on the side. It was a good thing that they didn’t jump on one of these ideas right away.
It quickly became clear that the topic had to be approached holistically. The AI potential had to be examined in all departments, for all products and services. And it also had to fit TheEarlyOne’s strategy. At the same time, we wanted to be able to immediately put new ideas into practice and achieve results for our customers as quickly as possible. The tool of choice was an AI design sprint workshop that was both strategic AND implementation-oriented. It lasted only five days and was very intensive. At the end of the workshop, we had a project profile for the first project, validated and ready for implementation. The implementation of the project in the first stage then took only 7 weeks. Along the way, we learned a lot about AI methods and approaches from the external colleagues who accompanied us during the workshop and implementation.
We can’t yet say whether we will achieve immediate success. However, in the medium and long term, management’s decision to give the topic of AI the necessary attention will pay off. This is because we want to be among those who use AI because they can and not among those who are only just beginning to look at AI because they have to.
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