7 Artificial Intelligence Technologies that will change the future of business.

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7 Artificial Intelligence technologies

Artificial intelligence is not an exclusive technology for high-tech companies, nor is it something that will happen in the future. But it is already a reality capable of transforming organizations of all sizes. Undoubtedly, this technology is radically changing the way we work and do business, given that 80% of executives think that artificial intelligence solutions can improve their productivity.

The Artificial Intelligence market will have a value of almost $ 89847M for 2026 worldwide, according to a recent Statista study.

For companies, the correct use of Artificial Intelligence can mean an increase in sales, substantially improve each of its areas, eradicate inefficiency, optimize operational processes and save costs.

In addition, it is important to highlight the importance of Artificial Intelligence in all departments of companies. Because it would not only facilitate and simplify many of the tasks that are carried out today but also increase their efficiency. An example is the area of ​​Human Resources, where Artificial Intelligence could improve the prediction about the behavior and effectiveness of a new employee. It would also provide great benefits to the sales area, find new potential customers, sudden changes in purchase cycles or take competitive measures.

Some of the Artificial Intelligence technologies have been included in the list that will change the future of business.

Robotic Process Automation

Robotic Process Automation (RPA) is the use of software to create a virtual worker or a Robot that works with one or several applications in the same way that a person processes a transaction or completes a process. RPA does not replace applications but works with existing systems to perform assigned tasks.

Once the RPA software has been trained in a certain process, it can perform transactions, manipulate data, initiate actions in response to certain requests and communicate several systems if necessary.

This technology reduces or eliminates the need for people to perform repetitive tasks. It can respond to large volumes of demand, such as technical support, various workflows, and back-office processes.

Taking the example of AKQA, this platform automates the process of searching for new consumers. To save time and resources, she is dedicated to performing the mechanical and repetitive tasks that this profession demands. It can be done with greater efficiency and assertiveness.

Digital Twins

A Digital Twin is a digital version of a process, product or service. Describe architecture, material, behavior, etc. of a process, a product, and a service. Digital Twin helps predict any future failure or downtime of a system.

In summary, a Digital Twin is a digital model of a process, product or service using information obtained from sensors or automation. This union of the physical world with the virtual world allows the intelligent analysis of data and the monitoring of systems to:

  • Avoid problems before they occur
  • Preventing times inactivity
  • Develop new business opportunities
  • Plan the future through simulations
  • Customize production to customer requirements

This type of digital technology means that companies of all sizes can meet their demands and reduce time to market by almost 50%. In addition to improving flexibility and increasing productivity by up to 20%, which determines the competitiveness of companies.

Recently, General Electric manages a concept of the digital wind farm, which uses a simulation and modeling system in real time to predict problems and optimize daily energy production, which would allow it to increase the park’s energy production by 20%.

Content Creation

It still seems difficult and somewhat futuristic to imagine a machine that generates great ideas of content, without mentioning that it is worth consuming it. However, the reality is that the machines are already writing content and are quite good at doing it. Brands like USA Today, Hearst and CBS, are already using AI to generate their content.

Wibbitz is a great example of the automatic creation of content using AI. It is a SaaS tool that AI uses to help editors create videos from written content in just a few minutes. Wordsmith from Automated Insight can be a great example when it comes to generating text-based content. Wordsmith uses NLG (Natural Language Generation) to generate news-based content.

Virtual Assistant

A virtual assistant is a conversational character, generated by the computer that is able to recognize the voice and understand the natural language. Today, you can ask your personal assistant to make an appointment, find a restaurant, call a taxi or send a message through WhatsApp without the need to take the phone out of your pocket.

Giant technology companies such as Google, Amazon, and Microsoft are betting heavily on the progress and mastery of virtual assistants reinforced by Artificial Intelligence. More than 3,500 million devices are incorporating a virtual assistant. And by the year 2021, 7.5 billion devices will use this technology. The opportunities are huge for the company that manages to dominate the market.

Decision Making

Making the business decision in uncertain conditions is difficult for managers. In this case, Artificial Intelligence is an intelligent solution. AI can analyze and make the most optimized decision of many alternatives.

In addition, with the help of AI, the business organization can automatically track the outcome of the decision made. Just as they can use the same decision when similar conditions arise in the future.

Decision making has already been incorporated into a variety of corporate applications to help and make decisions automatically. This is how you make your business as profitable as possible.

Take a look at Advanced Systems Concepts, Informatica, Maana, Pegasystems, and UiPath to learn more about how your system helps organizations make decisions.

Recognition of emotions

Artificial intelligence is moving in a new direction. Algorithms are not only learning to recognize who we are but also what we feel. The so-called technology of recognition of emotions is in its infancy. But artificial intelligence companies (AI) claim that this technology has the power to transform the recruitment process.

The Recognition of Emotions can decipher how enthusiastic, honest or dynamic an applicant can be. It can help employers rule out candidates with an undesirable condition. Companies like Unilever have already started using this technology.
The number of companies working in this area is constantly increasing. Beyond Verbal analyzes audio inputs to describe a person’s character traits. Including how positive, excited, angry or nervous they are.

nViso uses analysis of emotional videos to inspire new product ideas. Identify the necessary updates and improve the consumer experience. And Affectiva Emotion AI is used in the gaming, automotive, robotics, education and health industries to apply facial coding and emotion analysis from facial and voice data.

Marketing Automation

For many years, marketing experts have used demographic data to get closer to their potential buyers by knowing their interests and needs. But the current problem is that by segmenting customers into groups according to similar characteristics, margins or boundaries are being created between one group and another. But the reality is that each person is unique and peculiar. That is why it requires personalized attention.

Marketing automation allows companies to improve their interaction with their customers and the target market. It increases its efficiency, which generally translates into an exponential increase in the company’s income. At the same time, AI automates the segmentation of its target audiences, the integration of its customers’ data and the management of its campaigns. By automating simple repetitive tasks, companies can focus on complex jobs such as strategy, product improvement.

Undoubtedly, AI offers great benefits to companies. But it also has negative implications for a certain sector of workers who will see their jobs disappear before the advance of robots and automated systems.

The hope is that innovation in work systems, products and services will help improve the lifestyle of humanity and generate more wealth.

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