How important is artificial intelligence to business? - Quesoft Tech

 How important is artificial intelligence to business?

AI is important to businesses because it allows them to perform a variety of repetitive tasks better than humans and in less time, as it allows them to better understand large amounts of data and use predictions to automate complex tasks more efficiently.

It is possible, for example, to analyze a large number of legal documents to ensure that key fields are correct. The great advantage of having a machine perform this task is that the possibility of errors is much smaller and the time to complete it too, leaving humans to use their time to concentrate on the tasks in which they are essential.

In summary, artificial intelligence is capable of improving a company's operations and providing a greater competitive advantage.

Artificial intelligence applications

AI in health

Artificial intelligence can not only improve patient outcomes, but also reduce costs. Using machine learning, diagnoses can be made faster and more accurately.

Likewise, virtual healthcare assistants and Chatbots can be used to help care for patients, whether it's finding medical information, scheduling appointments or other administrative processes.

An example of AI that already exists for the healthcare industry is IBM Watson Health, which contributes to medical decision-making, research for new treatments and a better patient experience.

AI in business

The contributions of AI in business are quite extensive. One example is the creation of customer relationship management (CRM) solutions that allow, through data analysis, to better understand consumers in order to offer them a better experience with the company.

There is also the incorporation of Chatbots that facilitate customer service, in addition to the automation of some of the work.

AI in education

In education, artificial intelligence makes it possible to automate assessments and adapt to the needs and pace of students. In this way, AI tutors can support students to ensure better learning.

This gives educators more time to create better learning strategies and focus on areas that need more work.

AI in finance

In the financial sector, AI can collect data to provide financial advice and use applications to increasingly optimize customer relationships.

On Wall Street, for example, AI solutions are already operating in the market and are part of industry transactions.

AI on right

Examining documents is one of the most tiring and time-consuming tasks and requires extra attention to avoid mistakes. Here, artificial intelligence can automate this and other processes that facilitate the routine of any law firm or legal department.

For example, it facilitates access to information, allowing the extraction of data from documents and contributes to the prediction of results in any case.

AI in industry

Currently, there are industrial robots capable of performing individual tasks that require greater precision and agility. There are also Chatbots, which are smaller machines designed to interact with humans in a collaborative work environment.

AI in the banking industry

With AI, it is possible to carry out analyzes to offer the best options for each customer, reducing bank risks and streamlining processes. For example, making decisions about loans and credit limits.

On the other hand, Chatbots are capable of interacting with customers, offering services and handling transactions that do not require human intervention.

AI in transport

Autonomous vehicles are becoming an increasingly common reality. However, it is not the only contribution to the sector. AI can be used to manage air traffic, predict flight, bus or train schedules, and also optimize land, sea and air transport.

What is driving the insertion of artificial intelligence?

The main factors driving the development of AI and its insertion in companies are:

• Cloud-based AI solutions offer high computational power and reasonably affordable values.
• The increase in the volume of data and the emergence of new tools allow for more accurate forecasts.
• The competitive advantage that AI provides when applied to business objectives is evident.

What are the benefits and challenges of AI?

Companies that include artificial intelligence capabilities in their processes can reap a number of benefits, such as:

• Best results on jobs where there is a greater amount of detail.
• Reduction in processing time for large volumes of data.
• Permanent customer service with Chatbots always available.

Despite this, before implementing solutions, it is important to carry out an analysis of the company's real needs, as well as the best projects that can be implemented.

For example, a cloud solution is much more accessible and practical than a project with local hosting and, in addition, other characteristics must be analyzed before making any decision.

Another challenge is having professionals with experience in certain solutions. For this reason, it is essential to use end-to-end solutions that provide adequate long-term support.

How to implement artificial intelligence in your business?

1. Start progressively

When starting out, it is essential to do this on a small scale. Thus, the adaptation process will be easier, without interfering with other business processes, and the company will be able to learn to live with AI.

2. Identify implementation areas

To implement AI successfully, it is necessary to identify the areas where these tools need to be prioritized. For this, we must analyze in detail the sectors in which there will be greater benefits from its implementation.

3. Train employees

It's no use having the latest AI tools if your professionals aren't trained to take full advantage of them. That's why it's crucial to have complete training to achieve the goals.