Smart warehouses and autonomous driving: Automation of processes
For companies, the smart warehouse is an important step towards the future. It is also one of the most important examples of a successful spatial computing implementation because the market has changed. Today, customers expect the ordered goods to arrive the next day and that they don’t have to wait for days. With thousands of orders coming in every day, this has long been impossible without automation.
Autonomous driving also plays a central role in this area. The technology permanently evaluates the most important data regarding the efficiency of driving routes in real time. As a result, internal processes and workflows can be noticeably simplified and made more efficient.
Improving human machine interaction
Spatial computing is not only important in companies, but also on the stock market: The number of spatial computing stocks is increasing rapidly, which is due to the promising future of this technology. After all, it improves and facilitates human interaction with the machines used. Software solutions such as TeamViewer’s Frontline are an important basis for this as well as hardware solutions that increase the benefits in everyday life. At the same time, modern spatial computing is designed to make interaction and information retrieval as simple as possible. For your users, this means that the effort required to familiarize themselves with the new technology is kept to a minimum.
Challenges and Outlook
Although the value of spatial computing stocks is increasing and innovative concepts like smart farming are becoming more important, the technology still faces challenges. Some of them are technical, while most require a shift in thinking in businesses and society in general. For this reason, the real potential of spatial computing is not yet fully realized.
- The biggest challenge of spatial computing is that it is a new technology that completely changes everyday life. While the benefits can be easily integrated into private everyday life, the situation is different in the business sector. This is because the larger the social space, the more adaptations are necessary. For companies, spatial computing primarily involves a restructuring of business processes, but also of hardware commitments. Both are associated with high financial investments at the same time. This makes it difficult to embrace the new technology.
- Since spatial computing promises benefits in many use cases, a corresponding investment in research is necessary. A classic example of this is Computing with spatial trajectories. These analyses and further developments require a lot of specialist knowledge.
- Even if you as a company want to integrate spatial computing into your daily routine, challenges are to be expected. These concern not only the acceptance of the employees, but also the existing IT infrastructure. After all, in order to be able to use spatial technology, hardware and software must be coordinated with each other. In particular, the provision of the required data becomes an obstacle for many companies.
Nevertheless, spatial computing is an important signpost towards the future. That’s because the benefits of the technology outweigh the initial hurdles. Once your company decides to take the first step, the underlying business processes become easier and more efficient. That’s why it’s safe to assume that spatial computing, like the Internet of Things (IoT), will establish itself in everyday business. This assumption seems logical as interest in spatial computing stocks and similar investment opportunities is growing rapidly.