Artificial Intelligence can maximize business results and it is a field where machines are programmed to learn and fulfill functions. When AI becomes part of a company’s structure, productivity levels are accelerated and improved.
Some of these functions were previously only common to humans, such as recognizing facial expressions, analyzing reports, and even making decisions based on facts that have already happened.
Many tasks are transferred to robots, and the staff can be created strategically and lean, ready to perform specific processes.
We can experience Artificial Intelligence (AI) in situations that have already become part of the routine, such as search engines. When two people perform the exact search on a virtual search engine, the results will not be identical. This is because an AI system recognizes consumer habits within the website. Another classic example is the credit analysis of banks that, in a few moments, can cross data and understand the economic power of the customer.
Large companies’ goals when implementing AI systems may seem economically ineffective, as, in theory, some employees lose their jobs. However, what happens is a better use of the truly humanized role of each one, which adds value to the company. Now, the corporation is freed from the need for an excessive workforce and can continue with the more incredible speed of growth and operation.
Exponential Organizations And Accelerated Growth
The concept of Exponential Organizations is linked to the idea of disruptive technology, which is when a new system provides the emergence of a solution that transforms the way something is consumed. When one aspect manages to cause this disruption, it brings a change effect in the market that benefits the organization and the consumer. While the company optimizes its processes, reduces costs, and works with specific and reliable data, the customer can access a suitable, simple, cost-effective, and easily accessible product.
Organizations that grow exponentially are those that bet on factors such as innovation and disruptiveness to develop; that is: they are organizations that use Artificial Intelligence (AI) to grow strategically, knowing the pains of the market and producing what it needs innovatively. . A survey conducted by the Boston Consulting Group evaluated that 85% of executives understand that investing in AI can take the company to a higher level, thus fostering the degree of competitiveness in the market.
It is undeniable that, in addition to bringing solutions that address market pains in an effective and accessible way, AI is allied to another important scenario: the ability to predict situations that may happen in the future, analyzing the company’s strengths and weaknesses has to deal with them. In this way, leaders and managers work with longer windows of time to solve problems and reliable data to make decisions.
Machine Learning, The Self-Taught Technology
Machine Learning is one of the segments of Artificial Intelligence (AI), more specifically, one that analyzes a large volume of information, extracts what is necessary, and makes decisions based on it. In a Machine Learning process, the interference of a human is minimal, and the results happen through the experience of the machine itself.
The primary purpose of Machine Learning is to make a task perform at its maximum efficiency, surpassing the work that a human could do. A classic example is smartphone apps used for commuting, such as Uber. These apps, in addition to providing the passenger’s transport service, also provide accurate information about the car’s location and route, in addition to calculating the time and value of the ride. This entire process is done through Machine Learning; the platform identifies data from past races and adapts according to the customer’s specific need, combining information on routes, detours, time, and cost-benefit.
In search of optimizing the sector’s processes, technology can perform tasks common to human employees, such as supervision and equipment evaluation. This way, greater efficiency is achieved in the results while safety is maintained.
Built through Artificial Intelligence (AI) applied to computer vision, Deep track is a Machine Learning solution that promotes efficiency, agility, and safety for the sector, in addition to having a significant cost benefit compared to human-crewed aircraft and the human inspection that is applied in the market today.
Also Read: Seven Areas Where AI Can Boost Your Business