Artificial intelligence is no longer a case of science fiction. If we once only saw movies like Minority Report, where Tom Cruise predicted crime and acted before it happened, now companies can apply the technology to different roles.
Of course, the technological world has a long way to go. New applications should emerge in the coming years - and your business has a lot to benefit from. If you still don't know how to best prepare yourself, here are the tips below.
Make Sure Your Business Has IA Learning Labels
Machine learning and Artificial Intelligence need labels for greater data analysis capabilities. This is how you gain valuable insights that can be applied to your organization. On the other hand, when it does not happen, the result is an exploratory evaluation, which will not have effects in the medium or long term.
A simple example is when your business has a large volume of customer email, all of which are categorized according to the problem. By developing an automatic label classification system, it is possible to come up with useful information that is evaluated and used sustainably.
Provide the right contexts
AI algorithms depend on an appropriate context to provide relevant information. When this recommendation is ignored, the most common is that Artificial Intelligence and machine learning can make correlations but have difficulty understanding related information.
The result of this scenario is the inability to tell whether the information is relevant or irrelevant. For example, an e-commerce tool always recommends a specific product. This is a problem that is already being investigated. In this process, it is found that it was promoted six months ago - so there was a significant increase in sales from current customers.
The point is that the promotion made was based on discounts and not on customer service. This divergence could have been resolved with an appropriate AI context. As a result, technology understands the facts involved and ensures that the offer is truly relevant to consumers and therefore to your organization.
Invest in training professionals
Employees need to be able to apply Artificial Intelligence to companies and understand that this technology, along with others - such as machine learning, Business Intelligence (BI), and Big Data - offers disruptive operations, changing the way the market works and transactions with customers. consumers.
In addition, evolution goes further. The higher the processing capacity, the more systems will be convenient and fast. Thus, professionals need to be prepared, including to deal with the new infrastructure required, in order to deal with the complexities derived from AI.
It is up to the company to provide the support, training and tools necessary for employees to work with Artificial Intelligence. This is the best alternative as finding talent on the market will still be difficult due to the required skills.
These are just a few relevant steps to prepare for applying AI in business. However, there are others. Ideally, get started and be ready for disruptive changes. This is how you will encounter difficulties along the way and know how to overcome them.
How can Artificial Intelligence be applied in companies?
The corporate environment already recognizes AI as essential to the future of business. According to a study by Tata Consultancy Services, 84% of organizations understand this technology as fundamental to competitiveness. In addition, 50% believe it is transformative.
Other encouraging data refer to the results achieved. The same survey indicated that companies that invested in AI had a 16% increase in revenue. For comparison only, those who applied five times less resources had a high of 5% only.
That way, it's clear that it's important to apply Artificial Intelligence to your business, right? The question is how to do it? This is what we will present from now on.
Using chatbots and virtual assistants
Virtual assistants and chatbots are essential for improving user service and facilitating interaction. Through them, you also identify preferences and can anticipate them from the behavior adopted.
This process occurs by linking these resources to the corporate database, which facilitates the interpretation and transformation of information. An example of use is the identification of aspects relevant to the reproduction of human behavior. What's more, the solution stores important information, forwards orders, and solves simple problems.
The data collected in your business by AI is organized for easy access. With this, there is more agility, simplicity and efficiency in service. At the same time, the consumer checks the data at the desired time. For the company, this is the opportunity to create a pattern of customer behavior.
As? By defining profiles and crossing data between user groups with similar characteristics. This is the situation, for example, in the products suggested by e-commerce. However, this is a simple example - that is, the insights gained can be used in many other, more strategic ways.
Enterprise security mechanisms are enhanced with Artificial Intelligence. Through pattern recognition, technology identifies adverse situations, strange events, and even the occurrence of virtual attacks. Therefore, the tool is used in both the physical and virtual worlds.
In the first case, one possibility is traffic cameras. They collaborate on traffic management and have automated systems that make autonomous decisions to improve vehicle flow. Another possibility is facial recognition services for both opening private places and identifying criminals, for example.
The latter system was used at the 2019 Salvador Carnival to find a boy accused of murder who was wanted for eight months by police. While enjoying the party, was spotted by the face recognition camera and became the first Brazilian captured with the help of this technology.
As the arrest warrant was open, the police detained him. Despite being the only one in this condition, the cameras recognized 460,000 people a day during the event. This same solution can be adopted to locate missing persons.
In turn, in the digital environment, internet banking is a clear example. With AI tied to the servers hosting the system, virtual attacks are quickly identified and blocked. Moreover, new invasion modalities are identified and neutralized to avoid other unforeseen events.
Forecasts and trend identification
One of the main applications of Artificial Intelligence in companies is focused on forecasting and identifying trends. The idea is to make projections about human behavior and possible market changes to make precise decisions that lead to increased competitive advantage.
This is the case with AI in marketing campaigns, for example. In this context, possible scenarios and outcomes are designed so that the company can modify whatever is needed even before taking action.
By having these forecasts and trends at hand, the manager has even more information at his disposal. This means that he can make sound decisions that are consistent with strategic business planning.
Improvement of internal communication
AI can also be used to improve employee interaction. With a large number of channels, content, solutions and tools in the corporate world, it is often difficult to achieve goals and balance in the workplace. In this context, internal communication is facilitated by individual personalization.
This is due to the autonomy offered to the professional, who has an intelligent virtual assistant. This feature takes care of your daily and repetitive tasks. With this, the action becomes more strategic and the employee has information about the next action to be taken.
The consequence is increased focus and improved productivity. In the long run, there are still benefits to processes and innovation that become easier to put into practice. In addition, the reduction of work overload is a significant impact, which even affects the quality of life of employees.
Internal Human Resources processes are positively impacted by AI. Recruitment, for example, becomes optimized with the help of technology, which makes professionals focus on strategic activities aimed at quality of life at work.
What's more, there is a streamlining of activities, improved work elements, and the acquisition of relevant information and insights that contribute to the achievement of strategic goals - after all, happy and satisfied professionals are more engaged and tend to work for the company with more. hard.