Drugi jezik na kojem je dostupan ovaj članak: Bosnian
Earlier this year we heard the news of the victory of a computer in the poker tournament against the best players in the world. Why is this important news? Because in poker some cards are hidden, players are bluffing and that for years was too big a problem for computers. Broadly speaking, this is only one manifestation of the great advances in artificial intelligence last few years, and a demonstration of how computers have reached and surpassed humans in areas where, until recently, they could not measure up. This progress has been made thanks to the synergies of large amounts of data available, the increasing and more easily available processing power, but also the progress in machine learning algorithms. Here we primarily mean the deep learning, ie. systems that independently learn optimal strategies without being explicitly programmed by people. Thus, for example, AlphaGo lost the first game of Go against the current (human) world champion, only to learn from its mistakes and going on to win the next four games in a row.
As usual, after proving the technology in these research projects, the time came for its application in business, but also life in general. Which jobs will be lost due to automation, and which will be transformed by using virtual assistants? Which media will lose importance when speech becomes the dominant mode of communication with machines? How best to exploit this potential today and how to protect yourself from negative influences tomorrow?
An attempt to answer these questions was made at the center for innovation HUB385 in Zagreb, at the first meeting devoted exclusively to the topic Deep thoughts: #1.
The introductory lecture about the most significant results and possibilities of deep learning was held by Davor Runje from the agency DRAP, followed by three panels on the following topics:
- New interfaces, first and foremost the speech recognition and generation,
- Intelligence Augmentation, or techniques that enhance the cognitive capacity of humans, and
- Artificial Intelligence, which is replacing people.
Panelists were decision-makers from a broad spectrum of industries, so that the consequences of the use of these technologies could be observed from a number of angles:
- Ivan Kovačević, Digital marketing director, Agrokor
- Marijana Knežević Tudić, Project manager, Kraš
- Božidar Pavlović, Managing director, Erste Group Card Processor
- Luka Baranović, Director of Customer Experience Management, Hrvatski Telekom
- Hajdi Ćenan, Executive director, DRAP
- Luka Duboković, Managing director, BBDO Zagreb
- Sacha Vrazic, Head of Autonomous Driving R&D, Rimac Automobili
- Tihomir Šašić, Program manager, Unmanned Aerial Vehicles, IN2
They looked for currently the best examples of practical application of deep learning and through discussion with the participants tried to find out how they see the impact on their industries. Ivan Kovačević provided his views on the impact of the development of voice technology in the retail industry. Marijana Knežević Tudić deeply believes that voice communication is much more suitable for communication with preschool children than smartphones and tablets. Božidar Pavlović gave an insight into the technologies that are being developed in the financial sector, but also explained on the example of PhotoPay how small businesses from these areas can become globally relevant. Luka Baranović from HT gave his perspective on the use of service design to improve services, and Hajdi Ćenan gave examples of using cognitive technology inside restaurants. Luka Duboković commented on automatic generation of creative concepts and the impact it could have on the industry of marketing communications while Tihomir Šašić presented the applications of autonomous aircraft, ie. drones, but also his great passion for this technology. Last, but not least, Sacha Vražić from Rimac automobili presented major challenges, but also the ways to overcome them in building a self-driving car.
In addition to managers from various industries, the participants were also students in machine and deep learning courses that are held at WeCliqued platform for three months now, who were actively engaged in the discussion and contributed with their deeper insight into the technical aspects of this technology. We believe that this combination of people with deep technical insight and practical skills on the one hand, and people who have a broad insight into the operations of their companies on the other, will provide a clearer view of the future and help everyone to adapt to the exciting future that lies ahead.