There are several sectors of activity, from health, industry, entertainment, human resources, manufacturing, and other areas, where artificial intelligence can help companies and businesses to become more efficient, agile and adaptable in order to maintain competitiveness in a constantly evolving business world.
Increased efficiency and productivity of teams and departments are two of the biggest benefits gained by adopting artificial intelligence in daily work methods and processes. In the sense that through the use of AI it is possible to automate some repetitive tasks, while the companies' employees can dedicate themselves to other tasks of greater value.
In this way, companies can minimize costs associated with performing repetitive daily tasks while at the same time valuing and maximizing the talent of the human force.
There are several artificial intelligence tools - e.g. GPT Chat, Mid Journey, Murf.ai - with different functions that are changing the way companies operate and how business is conducted.
Where to apply AI in business?
Artificial intelligence is transforming the business world and there are countless possibilities for its application in several areas, in order to collaborate and contribute positively to the growth and increased efficiency of companies in conjunction with the human force. Since AI is not a single solution for all business problems, there must be an evaluation of the objectives and needs of each business before deciding where to apply AI.
Among several areas where AI can be applied, some of the most common are Marketing and Advertising in the sense that AI can be a strong help in identifying customer behavior patterns in order to allow the team to personalize campaigns and content based on reliable data such as customer needs and preferences; or product recommendations based on data such as customer purchase history or browsing behavior.
Another area is Customer Service, in the sense that AI can be used to provide 24/7 automated customer service through chatbots or voice recognition, for example; personalize the customer experience or automate tasks such as answering questions.
In Finance, artificial intelligence can analyze big data and identify financial risks, predict future patterns and market trends to help with investment decisions and personalized investment recommendations; provide customer service through chatbots or virtual assistants; and automate manual and repetitive tasks to improve efficiency, reduce costs, and provide better customer service.
In Logistics and Supply Chain, AI can be used to improve efficiency, reduce costs and increase customer satisfaction by optimizing transportation routes; monitoring and managing stock, forecasting future production and sales based on past history; predicting possible failures or breakdowns in equipment and machinery; improving customer service and customer experience through real-time information such as 'order status'.
In Human Resources, AI can be used to increase the efficiency and quality of processes by improving the screening and selection of candidates for job vacancies; providing training for new employees to reduce onboarding time; managing employee benefits to optimize costs for the company; analyzing employee performance to identify any problems that allow HR to take action.
In Manufacturing and Production, AI can be applied in several ways, such as analyzing historical data for future product forecasts, so that production can be planned efficiently and stock costs can be reduced; real-time data analysis to identify patterns and failures to optimize processes, increase efficiency and reduce costs; automation of repetitive tasks; improving energy efficiency in the sense that AI can be used to analyze energy consumption and identify opportunities for energy reduction.
Artificial Intelligence and Information Security
Advances in AI tools are increasing their use in companies across different industries. As such, it is important to adopt appropriate measures to ensure information security in order to avoid problems.
For an efficient use of artificial intelligence, regardless of the industry, security policies, employee awareness training and regular monitoring of AI systems should be implemented.
There are several reasons why the use of artificial intelligence in companies and businesses can be a problem. If AI models have not been well trained or inadequately validated, they can produce incorrect, potentially harmful results. As well, there may be an increased vulnerability to attack in the sense that AI systems are susceptible to cyber attacks, which can result in theft of data and confidential information.
AI can be a powerful tool to improve the security of confidential data and information by helping companies detect and prevent potential cyber threats, as well as, verify the identity of users, in businesses and companies from different fields of activity.
It is important to remember that information security depends on the knowledge of the employees and processes implemented by the company. The implementation of IA can present risks and challenges, which presupposes that there should be a careful evaluation of the advantages and disadvantages as well as the implementation of security measures - such as data encryption, user authentication and constant monitoring of IA systems - that allow the protection of confidential data and information to mitigate potential risks.