Introduction
Understanding the modern world without data is nearly impossible. Information leads to data, and as this is crucial, we are presented with ways through which the information can be altered or made use of considering the rise of artificial intelligence. Today, the world has become more artificial intelligence scalable and businesses are no exception. Across the globe, artificial intelligence has transcended all industries, and is currently one of the core aspects that are revolutionizing how industries are structured. All levels of division of business enterprises are now applying and augmenting various AI techniques and tools into their business systems in a bid to boost productivity, shorten the length of procedures and decrease the costs. The trajectory of the incorporation of AI starts from the most primitive forms of the process automation and moves towards the structures where AI is a key partner in complex unmanned management processes.
According to a recent survey conducted by Statista, the net size of artificial intelligence in 2024 currently stood at 184 billion US dollars, a considerable jump of nearly 50 billion compared to 2023. Consequently, this staggering growth is expected to continue with a projection of 826 billion US dollars by 2030.
How Businesses are Deploying AI
Companies are leveraging AI technology to enhance the overall workings of the company, become more operationally effective. As per the result of a survey conducted by Forbes Advisor with a sample of more than 600 businesses on how businesses utilize AI, we learned that customer service takes the highest chunk as 56% of all respondents say their organization incorporates AI in its customer service division. Cybersecurity and fraud management are coming close, taking 51%, as the second most popular application of AI technology in the business environment. Other areas of heavy usage of AI in businesses are customer relation management, recruitment and the talent department, digital personal assistant, inventory control, accounting, supply chain and more.
Knowing these three-level stages of AI will not only provide businesses with essential knowledge on how to fuse and embrace the technology but also make sure that all its potential channels are efficiently utilized.
Stage 1: Basic Automation – Task Execution
Automation in accordance with the business’s set procedures is the first basic level of use of AI by a company. Companies start thinking about developing AI with the sole purpose of employing it within basic automation tools or for simple repetitive and clerical assignments such as data entry, and scheduling work.
For example, many customer help desks and HR departments in industries are using AI powered chatbots for addressing simple questions and requests in real time making the work of a human agent much more efficient by allowing them to handle more advanced customer problems. Novel methods in which AI is employed to carry out assignments are particularly meant to aim at only decreasing the mistakes while enhancing the amount of brain work through cutting down busy work.
Stage 2: Enhanced Automation – Decision Support:
Currently, there is the use of AI in advanced activities where a set of processes is provided together with a set of collected information and aimed at giving well-informed answers or recommendations. This stage relies more on a technology known as machine learning, useful for the organizations that seek to embed artificial intelligence systems into tools such as emails, project management or any other business tool as it enhances the quality of suggestions offered to humans and thus enhancing business.
For example, an AI-driven tool is valuable to a marketing team as it assists in finding customers` behavioral trends, making it easier to address a particular market audience with specific campaigns. The great decision-making role that is played by AI in numerous industries is that it is able to go through vast data within a short period.
The increased automation of the operations is also an advantage to the enterprises since they can initiate predictive analytics for example inferring from data collected in the past. SOFTSWISS in being an iGaming software pioneer has lead all the procedures of integrating AI in the three levels of automation. The organization has adopted AI to improve efficiency and enhance the users’ gaming experience by providing individualized and secured environments.
AI has started making intrusions also at SOFTSWISS in the scope of cyber defense management. It reacts to a variety of triggers, aiding in tracking advances and hindrances. SOFTSWISS’s DOOS-against weapons systems is built on Cloudflare’s advanced multi-model AIs. This tool can prevent intrusions even when some devices are operating without the normal human touch.
SOFTSWISS shocked the gambling industry in 2013 by being the first operator in the traditional online casino industry to accept cryptocurrencies. Cryptocurrencies inspired a lot of new technologies and new ideas. This company also demonstrates that pioneering spirit exploring AI too. The Company has been incorporating into its products AI technologies in varying degrees from game design, customer services, processing, and security systems.
3) Cognitive Automation – Autonomous Decision-Making:
In the advanced processes, the computer is the one who makes decisions and sometimes learns and develops over time. With more advanced tools like machine learning in a system, decisions can be made in real-time with no need of human beings. Hence, making it an important device in dealing with circumstances when human beings are prone to make judgments that are not so rational because of bias, stress, and so much information.
For instance, the technology has found its place in determining whether a particular person qualifies for certain banking or non-banking products or services. In case of giving out loans, the bank applies the AI to a number of things in real time like calculating the risk and assessing fraud. Such systems are capable of reviewing large quantities of information instantaneously and subsequently use this information to either approve or ‘freeze’ the transaction depending on the assessed risks. Likewise, AI customer service systems are robotically interacting with customers without the assistance of any live agent, addressing basic dummy questions whereas advanced problems are reported to agents when required.
Conclusion
The impact of AI on business structure will continue to grow. By incorporating AI into business operations, businesses can embrace a future where AI complement human capabilities, driving both performance and profitability
