Artificial intelligence has become essential for business, both as a way to carry out market research and to automate processes and, thus, make the production line faster and more efficient.

But, if you think that artificial intelligence has already reached its maximum potential, you are far from the truth. So what to expect from AI in business in the future?

In this article, we will review which fields within artificial intelligence are being developed or have already started to be used and how these technologies shape the future of AI in business.

 

Table of contents

AI in business – Future trends

1. AutoML – Tune Machine Learning Models
2. XAI – Explain decisions to humans
3. Multimodal AI – Solve problems with multiple technologies
4. Computer vision – Interpret visual data

 

Conclusion

 

AI in business – Future trends

With greater use of artificial intelligence in business, the production of products and the development of innovative services have become faster and have gone to market with fewer errors.

From automating routine tasks to cybersecurity, AI has made it possible to optimize production processes, data analysis, customer service and even boost marketing and sales strategies.

For this year – and for the years that follow -, organizations will increasingly use AI as a central technology to optimize their processes and personalize their services for their customers. Technologies associated with artificial intelligence will have a prominent place that only tends to increase. Among AI models in business, technologies such as AutoML, Explainable AI, Multi-modal AI and Computer Vision stand out.

 

AutoML – Tune machine learning models

The acronym AutoML stands for Automated Machine Learning and the name of this technology, in itself, says it all. This technology is one of the most used in AI in business and is used to automate tasks in which Machine Learning is applied so that it becomes more accessible and efficient and can guarantee that the application of artificial intelligence is carried out in the manner desirable for whatever the organization.

Therefore, with AutoML, organizations with fewer resources to implement Machine Learning solutions can make the most of it to optimize their operations. Tasks that consume more time and are more susceptible to human error can now be automated so that teams can focus on innovative and sustainable solutions for the business.

 

XAI – Explain decisions to humans

As “Explainable Artificial Intelligence”, this new trend emerged to eliminate doubts about the veracity of the results delivered by artificial intelligence, make humans understand where the results come from and, therefore, make this technology more transparent.

So, by enabling a greater understanding of artificial intelligence processes, Explainable Artificial Intelligence also makes users have more confidence in the results presented.

XAI is one of the trends that will become essential, especially in decision-making processes with a major impact on business and its organization.

 

Multimodal AI – Solve problems with multiple technologies

Multimodal artificial intelligence is one of the fields of AI that deals with combining various technologies and strategies to deliver more reliable and detailed results, and to be able to predict real problems in the real world.

Therefore, Multimodal Artificial Intelligence uses various types of data, such as written content, multimedia and speech, for example, to deliver results that provide added value for business. This model is considered one of the most advantageous AI models in business, as it allows you to answer questions, generate images through text, understand videos and operate robots.

Furthermore, this is the trend that allows the development of immersive and multisensory virtual reality or augmented reality experiences.

 

Computer vision – Interpret visual data

With the growing amount of multimedia data, it is crucial that technology can read and interpret it expertly – as is the case with the relationship between the human eyes and the brain.

As such, Computer Vision is a field of artificial intelligence developed to identify images and videos, recognize what is represented there, interpret the image or video as a whole and draw conclusions. To achieve this, this technology uses deep learning models that help recognize objects and reproduce human vision.

As an application of AI in business, this technology can be used for surveillance and security, facial recognition, operations monitoring and quality control.

 

Conclusion

With artificial intelligence proliferating in the business worlds – regardless of the sector it is linked to, this emerging technology is only likely to become a central piece in the development of innovative products and services.

Therefore, AI in business is now essential for them to remain competitive and for their products or services to continue to be an added value for customers and/or users.

With new fields being developed within Artificial Intelligence, such as Automated Machine Learning, Explainable AI, Multimodal AI and Computer Vision, businesses will be able to optimize operations and respective costs, but also develop products that better serve their customers.