A fundamental problem of current industrial companies is and will be the growing number and speed of changes of the environment. Through the changes, companies are trying to minimise risks, inefficiency and economic losses. Risk and chaos are deepening due to inexpert implementation of digital technologies, because while IT departments are able to implement and manage standard technologies such as ERP, CRM or APS, they are strangers to work with big dataacquired from technological processes. All of this is amplified by the fact that the human factor enters the decision-making processes as the key one, with its experience, but on the other hand also with its slowness, limited perception, procrastination etc. Historically, there have been a number of solution methods. All of these methods have one disadvantage in common, though. They are not based on data and data-based algorithmic decision-making, but on the limited abilities of a person.

We therefore bring a new concept entitled Digital factory 2.0, based on massive use of artificial intelligence. Here, of course, we do not take away the right of a person to decide, but we endeavour to multiply their abilities by using AI and improve the quality of their senses. Due to parallel processing of big data from the current systems, from production facilities, from processes and additional sensors, we are able to radically accelerate production and decision-making processes by being able to predict and simulate various versions of the future in current time and to always choose the most efficient one.

Unlike the current computerization and automation methods, here we are talking about deep digital transformation – transition from a state, where products are primarily realised by physical machines controlled by humans, to a state, where production processes are algorithmized and production takes place based on data processing by artificial intelligence. The solution may be compared to a sport tester, which is calibrated to your optimal performance and which warns you in advance about risks you may not even be feeling yet. It forces you not to make mistakes and gives you time for a well-considered reaction.

The result is a concurrence of physical reality and a virtual model of the company based on conceptually integrated data flows. Thanks to this, the plan is connected to reality and to history at any moment. In this way, we can both optimise the plan and also seek out and correct deviations from plan in real time. Based on the correlations, we are able to identify symptoms of uneconomic behaviour and predict potential losses due to links (symptom–cause–effect). These links are monitored and subsequently used for managing the company. The effect consists in the fact that based on prediction of future development, it is possible to minimise deviations of reality from the optimised plan continually. This will reduce unproductive time losses. The volume of produced product will increase, realised profit from sale will increase, while fixed costs will be diluted. For an average client (200 people, 200 machines, turnover of CZK 750m+), we are able to achieve savings of CZK 20m to CZK 50m by means of deep digital transformation!

Cooperation between Grant Thornton and Cerebrica technological company has formed a symbiosis, where a consulting giant is using deep expertise of a Czech start-up in the methods and technology of artificial intelligence, and on the other hand, where the start-up uses the experience, knowledge and general insight of a prominent consulting company.

Conference – “The Czech Republic – an Industrial Power 2028?”
We would like to invite you to a conference, which is part of the International Engineering Fair and will take place on 10 November 2021. The conference concentrates on the question of managing intelligent digital transformation in the post-Covid era and subsequent data connection of companies leading to enhanced efficiency of mutual cooperation between companies. The conference will focus on defining strategic intentions for development of the Czech Republic in relation to the use of artificial intelligence and other progressive technologies in companies, case studies about successful solutions and procedures and the National Recovery Plan as a possible source of technological transformation of the Czech Republic. Your conference host will be Mr Radek Špicar.

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Webinar – on 29 September, a webinar will take place from 2:00 to 3:30 p.m., on the topic of “Increasing Productivity of Production Flow Using Artificial Intelligence by Millions of Korunas”. At the webinar, you will be acquainted with the “algorithmic brain” for processing big data and its use in a real case study at ŠKODA AUTO. You will further be acquainted with economic benefits of using artificial intelligence and with the upcoming conference on the future of Czech Economy at the International Engineering Fair in Brno this year.

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In case of any business or technical issues, please, do not hesitate to turn to our AI and digital transformation specialist Petr Horák. In case of organisational issues, such as the sending of an invitation to the above-mentioned events, please turn to Kristýna Tvrzníková.