Understanding what Artificial Intelligence is seems so complicated, but it motivates studies and is coming on strong to automate processes and solve many problems.
In other words, it simulates the human capacity to think and make decisions and could be the solution to increase the productivity of companies and improve the quality of life for people with disabilities, for example.
But the list of benefits it can bring doesn't stop there, and that's what we'll be talking about in this article.
Learn here about the concept of Artificial Intelligence (AI) , its history, and discover the areas in which it can help.
Also see which companies are already exploring their potential and what challenges you will need to face to apply AI to your business.
So, shall we move on?
What is Artificial Intelligence?
To understand what Artificial Intelligence is , you first need to know that it is a discipline within Computer Science that develops devices that simulate the human capacity to think, make decisions, and solve problems. In other words, it studies data input to explain the output.
Some studies simply refer to it by the acronym AI . The concept has existed for decades and is based on machine learning.
This might sound like science fiction to you, so let's show you some very common applications.
Are Siri, Alexa, and Cortana familiar names to you? Well, virtual assistants like them, along with drones and devices that work by voice command, are some examples of what artificial intelligence is and how it is changing our daily lives.
By 2035, AI has the potential to increase workplace productivity by nearly 40%.
AI is only possible, however, due to the rapid development of computer science and, especially, the Internet of Things (IoT) , which allows equipment and gadgets to be quickly connected to the global computer network. This solves problems and represents a major step towards a fully digital world.
When did AI studies begin?
In the mid- 40s , some studies on AI began to be developed, but still without much ambition. The intention at that time was only to find new functionalities for computers and for the arms industry, since World War II was in full swing.
With the advances achieved, it became more visible to understand what artificial intelligence is and what a highly developed machine could provide.
It was from there, then, that the line of study of AI in the field of biology emerged, with the intention, this time, of imitating human neural networks . As everything was underdeveloped at that time, the studies went through a dark period and resurfaced in the late 80s.
Today, it has become popular thanks to advances in computing and the large volume of data available , making it a hot topic in the business world.
Movies that talk about Artificial Intelligence
Movies, books, and cartoons have also brought the concept of Artificial Intelligence to the attention of a larger segment of the population. The author Isaac Asimov can be considered one of the "big three" of science fiction, with notable works such as "The Bicentennial Man" and "I, Robot".
Other film adaptations that deal with the theme and were popular with the public were “She”, by Spike Jonze; "AI: Artificial Intelligence", by Steven Spielberg; "A Space Odyssey" by Stanley Kubrick and the "Matrix" film sequel by Andy and Larry Wachowski.
How to apply Artificial Intelligence at work
We can see examples of artificial intelligence in many places: games, computer programs, robotics, voice recognition devices, and much more.
In a recent study, "How AI Boosts Industry Profits and Innovations," the global consulting firm Accenture suggests that, by 2035, AI has the potential to increase workplace productivity by nearly 40%.
Below we will see some areas in which it is applied:
Retail
AI has changed the way customers consume products, especially e-customers . With the creation of chatbots , the computer now simulates a real conversation between people and offers answers to consumer questions without them realizing that they are actually talking to a machine.
Artificial intelligence also enables personalized service and is already being explored by major brands around the world. To buy makeup at Sephora, for example, you simply send a photo of your face to find out which shades are best suited to your skin type.
Health Insurance
Technology already allows for the creation of virtual assistants that act as coaches , reminding patients to take their medication, exercise, drink water, or eat healthy foods. But all of this is very little compared to what Artificial Intelligence can do in the healthcare field.
Intelligent robots already assist in surgeries, reducing the possibility of human errors, for example.
AI also improves user accessibility and empowers the visually impaired. Audima , developed by Brazilian Paula Pedroza, is an example of a tool that uses Artificial Intelligence to give voice to digital content , converting website text into audio.
The world's largest social network also uses AI to ensure the inclusion of visually impaired people. Facebook has Automatic Alternative Text , a feature that describes screen images in audio form.
In this case, the Artificial Intelligence , created from Facebook's own algorithm, recognizes different objects and creates a descriptive caption from its database. The phone's voice function then reads this caption aloud to the user.
Industry
Through data analysis between connected equipment, industries can predict demand and load using recurring networks, for example. The result? Reduced errors, reduced costs, and increased profits.
Sports
Artificial intelligence can capture images and statistics from matches and provide reports to coaches. In this way, they can better analyze their strategy and apply optimizations.
Those who followed the coverage of the 2018 World Cup in Russia got a glimpse of the advancements made possible by new technologies. With the help of AI and data analysis techniques, broadcasters were able to uncover new and interesting facts about national teams, countries, coaches, and players. Commentators and narrators had automated access to various information, such as the average age of the teams and their head-to-head history, for example.
How does Artificial Intelligence work?
Now that you know what Artificial Intelligence is, it's time to understand how it works.
Artificial Intelligence works by combining data with fast processing and intelligent algorithms. This allows the software to learn automatically simply by following pre-established patterns.
However, it's not that simple. It encompasses a broad study, which has many subfields. Check out some below:
Machine Learning
Through statistical methods and neural networks, Machine Learning establishes logical rules to automate processes and make decisions. Here, human intervention is minimal, and a good example of its operation is the anti-fraud system in payment management.
Currently, especially in e-commerce , numerous attempts at fraud involving stolen or cloned credit cards occur every second. Thanks to machine learning technologies , systems are able to quickly recognize and block most of them.
Deep Learning
Deep Learning is a subcategory of Machine Learning and uses neural networks with many layers of processing to enhance machines. Some common applications are image and speech recognition.
Natural Language Processing
Natural Language Processing ( NLP) is the ability of computers to understand and generate human language.
What is ChatGPT?
ChatGPT is an artificial language model developed by OpenAI that works through deep learning and allows users to interact conversationally with artificial intelligence. This technology has become increasingly popular in recent years, especially with the evolution of virtual assistants on mobile devices and smart speakers.
ChatGPT was trained with a large amount of data to understand and answer users' questions as naturally as possible. It uses complex natural language processing algorithms to understand the semantics of sentences and respond coherently with a level of artificial intelligence that may surprise the user.
The application of ChatGPT is broad and diverse. It can be used to answer customer questions in automated customer service, in market research, in sales chatbots , among others. It can also be used in healthcare areas, such as in medical diagnoses and recommendations, or in financial services, such as in risk analysis and market forecasting.
It is considered one of the most efficient tools for simulating human conversations and, therefore, has gained more and more space in companies that want to offer a better experience for their users.
In summary, ChatGPT is an advanced artificial intelligence technology that allows users to interact with an artificial language model. Its operation is based on complex natural language processing algorithms, enabling a coherent response that closely resembles what a human would say.
Tips on how to use ChatGPT on the OpenAI website :
- Open the OpenAI website and find ChatGPT. It can be located in different areas of the website depending on the purpose of the template.
- Choose a topic you want to talk about with ChatGPT. The model is able to chat on various topics, from entertainment to business.
- Start the conversation with a simple question or greeting. ChatGPT will try to understand what you are asking and give an appropriate answer.
- If ChatGPT doesn't understand your question or the answer is incorrect, try rephrasing the question or giving the model feedback.
- Personalize your conversation with ChatGPT. The template can be adjusted to better suit your needs and preferences.
- Try different ChatGPT features. Some models have additional features, such as generating text or images, or providing predictions.
Remember that ChatGPT is an artificial intelligence tool and may not be perfect in all situations. However, it can be a great way to have interesting conversations and learn new things.
Prerequisites for working with Artificial Intelligence
Not everything is rosy when it comes to the development of AI technologies . Software developers must follow certain laws to avoid unexpected actions that don't align with their intended purpose.
They were created based on the Laws of Robotics , also called "Asimov's Laws," in honor of Isaac Asimov. Remember we talked about him earlier?
Among some of the principles, we will highlight three:
- A robot cannot harm a human or allow him to suffer any harm (thanks for that, lol);
- A robot must always obey the orders that its programmer enters into the system, even if this includes self-destruction. The only exception is for cases where it conflicts with the first law;
- An Artificial Intelligence must protect its own existence, as long as it does not conflict with previous laws.
Companies that use Artificial Intelligence (AI)
Most companies don't waste time and already use Artificial Intelligence in many of their processes.
Futurist Amy Webb has even named the group of large companies that are leading advances in AI. Known as the "Big Nine", this group includes Amazon, Alphabet (Google), Apple, Facebook, IBM, Microsoft, Alibaba Group, Baidu and Tencent.
Artificial intelligence is an area of great interest for companies around the world. Below are some of the main companies working with artificial intelligence, along with examples of their applications and links to their websites:
- OpenAI: OpenAI is an AI research company based in San Francisco, United States. It works on a variety of AI research projects, including the creation of natural language systems such as GPT-3, autonomous robots, energy demand forecasting, among others.
- Google: Google is a leading technology company with numerous products that utilize artificial intelligence. Google uses AI to improve the user experience across several of its products, such as Google Search, Google Maps, and Google Photos.
- Amazon: Amazon offers AI services through its AWS cloud computing platform. These services include image recognition, speech recognition, chatbots, and more. Amazon also uses AI in its own products, such as the Alexa virtual assistant.
- ecosystem: Microsoft has invested heavily in AI in recent years and offers various AI services to its customers. These include chatbot services, image recognition, speech recognition, demand forecasting, and more. Microsoft also uses AI in its own products, such as the Cortana virtual assistant.
- IBM: IBM is a leading technology company with a long history of working with AI. The company offers various AI services through its Watson platform, including chatbots, speech recognition, sentiment analysis, and more.
In addition to the companies mentioned above, there are many other companies working on artificial intelligence around the world. Some other notable companies include:
- NVIDIA: NVIDIA is a company specializing in graphics processing and AI. It manufactures video cards and other hardware components, widely used in AI systems, including self-driving cars and robots.
- Facebook: Facebook uses artificial intelligence across several of its platforms, including the News Feed, Messenger, and Instagram. The company invests in AI research and is working on long-term projects, such as creating intelligent virtual assistants.
- Tesla: Tesla is known for its electric cars, but the company is also working on autonomous driving technology. It uses neural networks and other AI algorithms to help its cars drive themselves.
- Baidu: Baidu is a Chinese technology company that offers a wide range of AI services. This includes speech recognition, chatbots, robotics, and much more. The company is also investing in long-term AI research, such as creating intelligent robots that can interact with humans.
- Alibaba: Alibaba is a Chinese e-commerce giant that offers AI services through its Alibaba Cloud computing platform. It provides image recognition, data analytics, chatbots, and much more.
These companies are just a few of the many others that are working on artificial intelligence around the world. Each has its own approach to AI and is working on exciting and innovative projects that could significantly change how we live and work.
Want another example of how Artificial Intelligence from one of these companies has already invaded our daily lives?
Facial recognition in Facebook photos is the biggest sign of how machines can think and recognize, even virtually, features of a person's face and associate them with their profile on the network.
Another example that is present in our routine is the famous "Ok, Google" to ask your cell phone for some information.
How Artificial Intelligence combined with a CRM can help companies
Today, a large portion of users who consume content are digital natives. That is, they were born into the Digital Transformation process and fit the profile of a new consumer, with individual preferences and an interest in building relationships with brands.
Therefore, for a company to remain active in the market, it needs to adopt strategies that adapt to the new reality , such as using a modern CRM system that creates more accurate profiles of each user. CRM stands for Customer Relationship Management . Learn more about CRM by clicking here.
Businesses across various sectors have already understood the importance of a good tool for the future of CRM and for ensuring more streamlined workflows .
A great tool that allows the infusion of CRM with AI technologies is the Bitrix24, a CRM, project management and collaboration platform used by more than 4 million organizations around the world, which has more than 35 tools to boost your business results.
Through it, the CRM system will not only perform its common functions more efficiently, but also learn from every customer interaction and offer better answers and suggestions to them. O Bitrix24 "translates" information so that you can understand your audience's preferences and define data-driven strategies.
Self-service can be cited as an important activity that the Bitrix24 executes, considering that, according to research carried out by Forrester, customers have a tendency to abandon a page if they are unable to resolve their doubts quickly and intuitively.
At the Customer Service Center Bitrix24, the customer comes first, allowing you to focus what really matters. With it, you can answer questions and solve problems in real time, across all channels and on different devices.
It doesn't matter which communication channels your customers use (email, phone, social media, instant messaging, live chat on the website), the Bitrix24 supports them all.
It will also offer several insights important for organizations and point out opportunities business plan for the sales team. Learn more about Bitrix24 here.
Challenges of using Artificial Intelligence
It's a fact: AI is already transforming all businesses , but our biggest challenge is understanding its limitations.
The main limitation of Artificial Intelligence is that the machine only learns from data input , and there is no other way to incorporate knowledge into it.
In other words, if the programmer fails, the robot will fail too.
The second limitation is that each AI system operates in isolation and only performs one type of function. For example, an Artificial Intelligence system that detects payment fraud for the retail sector is not capable of detecting fraud in the healthcare sector.
There are several challenges associated with the use of artificial intelligence today, including:
- Data quality: Data quality is fundamental to the success of any artificial intelligence system. If the data is incomplete, outdated, or inaccurate, it can affect the accuracy of the predictions and recommendations made by the system.
- Ethics and privacy: Ethics is one of the main challenges of artificial intelligence. AI algorithms can be used to make important decisions, such as granting credit or hiring employees, and it is important to ensure that these decisions are not discriminatory or unfair. Furthermore, data privacy is a major concern, as the collection and use of personal data can be invasive.
- Interpretability and transparency: Many artificial intelligence systems are black boxes, meaning it's difficult to understand how they arrive at certain conclusions or recommendations. This can hinder the acceptance and adoption of these systems, especially in sectors like healthcare, where decisions need to be transparent and justifiable. Interpretability refers to the ability to understand and explain how an artificial intelligence model works, and it's important for ensuring AI models are transparent and justifiable, as well as helping to identify and correct potential errors or biases in the models.
- Skills and abilities: The construction and use of artificial intelligence systems require specific skills and competencies in areas such as data science, machine learning, and programming. A shortage of professionals with these skills can hinder the implementation of these systems in many companies.
- Regulation and governance: Artificial intelligence is advancing rapidly, but clear regulations are still lacking in many areas. This can lead to situations where AI systems are used inappropriately or unfairly, which can have negative consequences for people and society as a whole. It is important to ensure that regulation and governance are developed appropriately to guarantee that AI is used fairly and ethically.
In conclusion , artificial intelligence is a field of computer science that focuses on creating systems and algorithms capable of learning and performing tasks that would normally require human intelligence.
With the advancement of technology, AI has been widely applied in various areas, from medicine to industry. However, there are challenges to be faced, such as data quality, ethics and privacy, interpretability and governance.
It is important that AI solutions are developed in a responsible, ethical and transparent manner, ensuring that the benefits of this technology are used to improve people's quality of life and improve society as a whole.
Want to implement Artificial Intelligence in your company? Talk to us.
