Sber and the "Russian Tesla": 5 key factors of influence

Economic Changes: How New Realities Shape the Technology Market and Agricultural Sector
Competition in the Automotive Industry: A Fierce Struggle for Survival
Benefits of Implementing Technology in Agriculture
Agriculture vs. Automotive: Key Differences
Results Are More Important Than Technology: A Look at Unmanned Systems
Prospects for Artificial Intelligence Technologies in Transport

Finance for an entrepreneur: 7 Key Skills for Success

Economic Changes: How New Realities Are Shaping the Technology Market and Agricultural Sector

In the context of an unstable political situation and economic sanctions related to the events in Ukraine, businesses are facing a number of new challenges and opportunities. These factors are significantly changing the technology market, pushing companies to adapt and innovate.

Against the backdrop of sanctions, many enterprises are forced to seek alternative solutions and suppliers, which creates demand for local technologies and developments. This opens new horizons for startups and companies offering competitive products and services.

Furthermore, instability requires businesses to increase flexibility and resilience. The implementation of modern technologies, such as cloud solutions and process automation, is becoming essential to maintain competitiveness.

Thus, the current political and economic situation not only poses serious challenges for businesses but also opens up opportunities for growth and development in the technological sphere.

A crisis, often perceived as a threat, also opens up new opportunities. In the agricultural sector, for example, wheat prices have reached thirty-year highs. This indicates high demand for agricultural products, especially in the context of a potential food crisis. The market situation highlights the importance of the agricultural sector adapting to changing conditions and finding new strategies to ensure food security. In an unstable economy, the agricultural sector can become a key factor in sustainable development and increased competitiveness.

Modern agricultural enterprises are actively implementing advanced technologies, including autonomous control systems based on artificial intelligence. Interest in our products is expected to grow not only in Russia but also in friendly countries, home to over 5 billion people. This is a 50% increase compared to the population of these countries 50 years ago. The implementation of innovative solutions in the agricultural sector opens up new opportunities for efficient production and increased yields, which contributes to the sustainable development of agriculture and meets the growing needs of the population.

As Western competitors leave the market, an interesting phenomenon is emerging: local companies have a unique opportunity to take over their positions. This creates "economic miracles," as organizations that have long invested in marketing and development now make room for new players. Local companies can take advantage of this situation to strengthen their positions, increase market share, and attract new customers. The departure of foreign brands opens new horizons for the development of domestic businesses.

Cognitive Pilot, a high-tech company, chose Tomsk as the location for its production facility among other bases in Asia. This decision proved justified amid the pandemic and ongoing political changes. Tomsk offers favorable conditions for business, including access to a skilled workforce and developed infrastructure. Amid global challenges, the company was able to effectively adapt and continue its operations, highlighting the advantages of localizing production in stable regions. Thus, choosing Cognitive Pilot was a strategically important step that allows the company to maintain competitiveness and flexibility in the market.

Two years ago, we made a key decision to transfer the production of computing units and autopilot components to Russia. This move seemed risky, but the pandemic and border closures confirmed its feasibility. Localization of production proved to be a key factor in ensuring supply stability and reducing dependence on foreign manufacturers. We are confident that this approach contributes to the development of the domestic industry and increases the competitiveness of our technologies in the market.

The issue of using foreign components became especially relevant during the pandemic, which prompted us to seek alternative solutions. During our analysis, we discovered Russian components whose quality is no lower than that of imported analogues, but they are offered at more affordable prices. In addition, a number of domestic manufacturers are ready to adapt their products to our requirements, which opens up new opportunities for cost optimization and increased competitiveness.

Processor manufacturers capable of competing with NVIDIA Jetson have begun to actively develop in the domestic market. Our neural network-based autopilot has demonstrated high performance on Russian-made chips, but the cost of these components remains a significant issue. Defense companies, traditionally focused on military needs, are gradually transitioning to civilian production, which requires time and resources. The current situation opens up new opportunities for the development of technologies and improvement of the quality of domestic production in the field of high technologies.

Cognitive Pilot products manufactured in Tomsk. Photo: Cognitive Pilot

A key task for the near future is to establish cooperation with manufacturing sites, especially in the field of chip production, which is essential in the context of interaction with China. In the future, Russia can develop its own equipment for the creation of semiconductors with a topology of 28 nanometers and less. This will allow the country to significantly increase its competitiveness in the global high-tech market and reduce its dependence on imported solutions.

Competition in the automotive industry: a fierce fight for survival

Let's return to the periods before the crisis. For many players in the automotive market, the partnership with Sber was an unexpected step. How did the company come to this important decision?

During the stage of preparing the deal, we reached a significant level of maturity and realized the need to expand the business. We were actively seeking a partner for effective expansion in both the Russian and international markets. During negotiations, we explored investment and synergy opportunities for promoting our products. Our goal is to create strategic alliances that will help increase market share and improve competitiveness.

Ultimately, we chose Sber, and this decision proved successful.

Why did we shift the focus from driverless cars? This area truly looked promising. However, over time, it became clear that the development and implementation of such technologies face many challenges. Safety concerns, legislative restrictions, and the need for infrastructure for driverless vehicles require significant resources and time. As a result, the focus shifted to more practical and less risky technologies, such as electric vehicles and driver assistance systems. These areas improve road safety and reduce the negative impact on the environment, making them more relevant today.

Automakers who want to achieve market leadership must closely monitor current market trends and integrate them into their strategy. Analyzing these trends allows companies to adapt to changing consumer preferences and technological innovations, which in turn contributes to the development of competitive advantages. Effective use of market and consumer data helps automakers form successful business models and offer relevant products.

Our research found that many companies in the field of artificial intelligence and autonomous systems are actively entering the automotive market. This market is one of the largest in the world, with a production volume of approximately 100 million vehicles per year and a total of over a billion vehicles. The implementation of AI technologies in the automotive industry opens up new opportunities to improve the safety, efficiency, and usability of vehicles, making this trend particularly relevant.

Various business models exist, and most of them are aimed at achieving significant success. However, access to this success is not open to everyone. Each model has its own unique features and requires different approaches for implementation. Understanding the target audience and market is key, allowing you to optimize strategies and increase your chances of success. Therefore, in a competitive environment, it is important not only to choose the right business model but also to intelligently adapt it to specific conditions and needs.

Competition among automakers is becoming increasingly intense. Even minor features, such as headlight swivels, play a key role in competitive strategy and marketing promotion. Automakers strive to stand out from the competition by offering innovative solutions and improved technologies. The importance of details such as headlight swivels should not be underestimated, as they can significantly impact consumer choice and brand loyalty.

The automotive market remains conservative, largely due to high volumes and fierce competition. These factors significantly limit profitability for manufacturers. Every automaker faces risks associated with the quality of its products. If problems arise, such as the need to recall a series of vehicles, a company can suffer significant financial losses and damage its reputation. In a dynamic market, it is important to consider these risks and find ways to minimize them to ensure stable growth and business development.

The relationships between manufacturers and first-tier suppliers, known as Tier-1, have been formed over many years. The process of entering this supply chain is complex and requires significant effort.

We have successfully implemented our developments in practice, concluding contracts with leading international companies, including Hyundai Mobis. This experience has allowed us to better understand internal processes and market requirements.

The development and implementation of new technologies is a complex process that takes at least five years. This period includes the full development cycle, integration into new platforms, and adaptation to changing market conditions. Constant changes in technology and user needs require flexibility and time for the successful implementation of projects.

Competition in the automaker market pushes companies to create exclusive technological innovations. Leading component manufacturers such as Bosch and Continental invest heavily in innovation and collaborate with internal partners to ensure their products are unique. This desire to differentiate themselves from competitors drives the development of new technologies, which in turn improves the quality and safety of vehicles. Israeli company Mobileye has demonstrated a unique example of successful market entry by establishing partnerships with a number of suppliers. Through these strategic relationships, the company has been able to effectively integrate into the industry and establish itself as a reliable player. The automotive market is characterized by high competition and a narrow customer base, resulting in low margins. Furthermore, there are significant legal restrictions, such as the 1968 Vienna Convention, which requires a human driver. These factors make the market challenging for players seeking to increase profits and expand their customer base. With modern technology and the development of autonomous vehicles, it is important to consider not only legal aspects but also changing consumer preferences.

Regulatory challenges can be overcome, but the timeframe for their resolution remains uncertain. The risks in this area are quite high, and choosing this area as a core business may be risky, especially in the absence of stable income from other sources. It is important to carefully analyze the situation and assess the possible consequences before deciding to focus on this market segment.

The hype surrounding self-driving cars is largely created by public companies with the aim of increasing their capitalization. This phenomenon can be considered an economic bubble that can lead to unjustified expectations and risks for investors. It is important to critically evaluate information about autonomous driving technologies and their actual readiness for mass use.

By focusing on agricultural technology, we have moved on to more realistic and achievable goals. A modern autopilot created using our technologies has achieved Level 3 autonomy. This means the vehicle is capable of autonomous driving on the highway, significantly simplifying control and improving road safety.

Level 0 is characterized by a complete lack of process automation. At this stage, all operations are performed manually, which can lead to high labor costs and an increased likelihood of errors. The lack of automation hinders the optimization of work processes and reduces overall business efficiency. It is important to recognize that the transition to more automated systems can significantly improve productivity and reduce the risks associated with human error.

The steering and acceleration/braking control system in conditions of limited visibility or space plays a key role in ensuring the safety and efficiency of vehicles. This system provides precise control of the vehicle's movement, allowing the driver to maneuver in complex situations, such as narrow streets or confined spaces. Effective steering control combined with advanced braking and acceleration mechanisms optimizes vehicle behavior, increasing its maneuverability and stability. It's important to note that such systems may incorporate various technologies, such as anti-lock braking systems (ABS) and electronic stability programs (ESP), which significantly improve vehicle control in limited conditions. Modern developments in this area also aim to integrate driver assistance systems, which further enhances safety and driving comfort.

Level 2: Automation of steering and acceleration or braking control. In this mode, the driver must be ready to take control at any time.

Level 3: Conditional autopilot is capable of taking control of the vehicle, but requires the driver to remain attentive and ready to intervene at any time. This system allows the driver to relax in certain conditions, but it cannot be relied upon completely. It is important to understand that safety remains in the hands of the driver, who must be ready to react quickly if necessary. Conditional Autopilot represents significant progress in autonomous driving, but requires responsibility and vigilance from users.

Level 4 represents a high degree of automation, requiring human intervention only in rare cases. At this state, systems and processes operate almost completely autonomously, ensuring maximum efficiency and minimal expenditure of time and resources. High automation significantly reduces the likelihood of errors, improves productivity, and allows for greater focus on strategic management and innovation.

Level 5: Full Autopilot, capable of controlling the vehicle in all road conditions. Currently, no developer has achieved this level of autonomy.

Benefits of Implementing Technologies in Agriculture

Agriculture offers ample opportunities for implementing modern technologies, including unmanned systems. Unlike the strict regulations in the automotive industry, the agricultural sector provides significant freedom for innovative solutions. This allows agronomists and farmers to optimize processes, increase production efficiency, and improve product quality. The implementation of unmanned technologies can significantly simplify tasks such as crop monitoring, fertilizer distribution, and harvesting, which ultimately leads to increased yields and reduced costs. Innovation in agriculture is becoming the key to sustainable development and competitiveness in today's market.

The cost of intelligent systems is one of the most important factors when implementing technologies in agriculture. Integrating these systems into agricultural machinery proves to be very cost-effective, as their price is only 5-10% of the cost of the combine itself. For example, a domestic combine harvester can cost as much as a luxury Mercedes S-Class. This approach allows farmers to significantly improve their efficiency, optimizing costs and increasing yields. The introduction of intelligent systems into agricultural machinery is becoming not only affordable but also a necessary step to enhance market competitiveness.

Adding intelligent technologies to agricultural machinery can significantly increase its value and efficiency. Unlike cars, where "brains" can double the price, in the agricultural sector such an increase is not so critical. Agricultural machinery is perceived as a mini-tool of production, not just a means of transportation. This emphasizes the importance of introducing modern technologies into agronomy, improving productivity and profitability. Intelligent solutions facilitate more efficient resource management and process optimization, making the economic model of agribusiness more attractive.

It is important to note that a significant portion of farmers in Russia use outdated equipment. There are approximately 120,000 combine harvesters in the country, and approximately half of these are older models. However, the remaining 60,000 combine harvesters are modern machines that can be updated and modernized. This opens up opportunities to increase agricultural efficiency and improve yields. Modernizing equipment allows farmers to reduce costs and adapt to modern agribusiness conditions. Unlike the automotive industry, where business depends on a limited number of manufacturers, the agricultural sector has a potential customer base of millions. In Russia, there are approximately 135,000 registered farms, while in Europe, this number reaches approximately 10 million. This customer diversification reduces business risks, as the loss of one customer does not significantly impact the overall stability and sustainability of the enterprise. This makes agriculture a more attractive sector for investment and development. The Cognitive Agro Pilot system, priced at approximately 900,000 rubles, is a ready-made solution for the agricultural sector that can be immediately implemented. The company offers only those products that are ready for sale and capable of performing the stated functions. This ensures prompt feedback from customers and allows for effective product adaptation to their needs. Cognitive Agro Pilot optimizes agricultural processes and contributes to increased yields, making it a valuable tool for modern farmers.

The durability of agricultural machinery is a key factor in the effective management of agribusiness. The average service life of such equipment ranges from five to ten years or more, which allows owners to gradually update their fleet. This update opens up opportunities for the implementation of modern technologies and solutions that help increase productivity and reduce costs. Investing in new equipment ensures not only long-term operation but also improved quality of agricultural work.

Agriculture vs. Automotive: Key Differences

One of the key advantages of the agricultural sector is the flexibility in regulation and the ability to modify equipment designs. This ensures the rapid adaptation of new technologies and solutions to the specific needs of farmers. The ability to modify equipment improves efficiency and optimizes processes in agriculture, which in turn allows farmers to achieve better results and increase productivity.

Agriculture is a promising area for the implementation of innovative technologies. The agricultural sector attracts the attention of investors and developers, creating new business opportunities. Innovations in agriculture contribute to increased production efficiency, improved product quality, and sustainable development of the industry, making it an important area for investment.

Results are more important than technology: a look at unmanned systems

In modern agribusiness, success depends not only on the implementation of high technologies, but also on their effective use. Consumers are increasingly focused on real results, not empty promises. We are at the threshold of a new era in agricultural technology, where technologies that help increase yields are becoming key. Innovative solutions, such as precision farming and biotechnology, play a significant role in optimizing processes and increasing productivity. Understanding market needs and leveraging modern tools enable agronomists to achieve impressive results and ensure sustainable agricultural development.

Cognitive Pilot proudly presents its achievements, including a successful demonstration of high metrics at CES in Las Vegas in 2018, where we outperformed international competitors. Our autopilot was recognized as one of the best in Europe at the Tech.AD conference in Berlin. We have developed unique technologies, such as object recognition systems in complex environments and video stream processing, that effectively simulate thought processes, including intuition. These innovations make our product a leader in the field of autonomous driving and underscore our commitment to the development of advanced technologies.

The Cognitive Pilot booth at CES in Las Vegas. Image: Cognitive Pilot

The full self-driving capability that John Deere talks about remains just a promise. Today, we offer ready-made solutions that can be purchased and implemented in your operations. Our products were introduced five years ago and are now available for use on the market.

We develop technologies aimed at solving the current problems of agribusiness. Understanding that our customers value not only the availability of autonomous tractors but also their efficiency, we strive to optimize the operation of agricultural machinery. Grain production remains the foundation of agribusiness, and to achieve successful results, it is necessary to focus on increasing yields. Our goal is to provide innovative solutions that will help agronomists and farmers reach new heights in production.

The goal of technological progress in agronomy is to increase yields to the biological potential of 250 quintals per hectare. While current world records reach 108 quintals, the average yield hovers around 50 quintals. In a changing climate, improving the predictability and efficiency of harvesting is especially important. The results of these efforts are crucial for consumers, as they directly impact the availability and quality of agricultural products. Increasing yields and production stability are important factors for ensuring food security and sustainable agricultural development.

Increased crop yields should not be accompanied by a significant increase in production costs. The key is that additional hundredweight of harvest should not cost ten times more than the initial ones. This will ensure economic viability and market stability, and will allow producers to remain competitive. Efficient technologies and process optimization will help achieve high yields without significantly increasing production costs.

Precision farming solutions, such as those from CNH, are available on the market, providing high precision in agronomic activities. However, we employ more modern methods based on computer vision, which allows for even greater precision and efficiency.

Our technologies enable machines to see and analyze the situation in the field, significantly reducing the risk of accidents. Farmers in the US have particularly appreciated this innovation, which has led to lower insurance premiums for equipment. This is truly a new generation of agrotechnical solutions that will transform the approach to agriculture.

Today it is necessary to analyze unmanned technologies taking into account the current needs of farmers. The transition to innovative solutions requires significant organizational effort, but it is precisely these technologies that will shape the future of agribusiness. The integration of drones into agriculture can increase production efficiency, reduce costs, and improve crop quality. It is important to actively implement these technologies to achieve sustainable development and competitiveness in the agricultural sector.

We are confident that we can fill vacant market niches and accelerate the launch of our new products, given changes in supplies from Western manufacturers. These changes open up new opportunities for innovation and adaptation to consumer demands. We are focused on the active development and optimization of production processes in order to successfully compete in a changing market.

Prospects for Artificial Intelligence Technologies in Transport

The development of object recognition technologies in the road scene is a central issue in the field of machine intelligence. Experts claim that the level of technology among various market players is very similar. However, to what extent does this correspond to reality? An analysis of modern object recognition solutions reveals significant differences in the efficiency and accuracy of algorithms. Different companies employ different approaches and methods, which impacts recognition quality and data processing speed. It is important to consider that further technological development depends not only on algorithms but also on the availability of data for training models. Thus, despite similarities in technologies, differences in results remain a pressing topic of discussion in the field of machine intelligence.

There is a significant difference between laboratory studies and serial products entering the market. In real-world use, technologies are subject to numerous factors that are difficult to account for in the limited laboratory environment. This difference underscores the importance of testing and validating products in real-world conditions to ensure their reliability and meet consumer expectations. Laboratory studies can provide an initial understanding of how technologies work, but only practical application can reveal all the nuances and potential issues that may arise during use.

For technologies to be effectively applied in practice, it is important that they perform reliably in a variety of conditions. Laboratory experiments are often conducted in a strictly controlled environment, which does not reflect the true complexity and diversity of situations users may encounter. Therefore, it is necessary to consider the real-world operating conditions of technologies to ensure their durability and effectiveness across a variety of use cases.

The process of transitioning from an experiment to a production product includes several key stages and requires a thorough analysis of the technology's real-world use conditions. This is not limited to theoretical research; practical testing is also an important aspect, allowing us to identify shortcomings and refine the product to improve its quality and effectiveness. Systematic testing and adaptation of the technology to real-world conditions ensures successful implementation and competitiveness in the market.

Our company has currently signed an agreement with Russian Railways (RZD) to develop intelligent systems. After three years of experiments and obtaining all the necessary permits, we are now preparing for serial production. This initiative is aimed at introducing advanced technologies to the railway industry, which will improve the efficiency and safety of transportation. We are confident that our developments will be an important step in modernizing Russian Railways' infrastructure and improving service quality.

The rail transport market is characterized by a conservative nature, and the certification process can take a long time. We are in the final stages, recognizing that railway safety is a top priority. This is especially relevant given the increased workload on train drivers caused by the pandemic. Ensuring the safety and efficiency of rail transport must remain a top priority to ensure reliability and protection of passengers.

Despite the slow implementation and budgeting processes, I am confident that the project has every chance of successful development. The agricultural sector's prospects appear more optimistic than those of the railway industry. However, we expect significant orders if active modernization of rail transport begins. This will create new opportunities for growth and the introduction of innovative solutions in this area.

The implementation of changes at Russian Railways will be phased. We do not expect immediate changes in approaches to locomotive modernization, but we are seeing growing interest in our solutions in both domestic and international markets. We are currently negotiating with Chinese partners and exploring the possibility of implementing our tram driver assistance system in Asian countries. This opens up new horizons for cooperation and the implementation of advanced technologies in the field of rail transport.