Technology

February 5, 2021

Three factors that companies fear from implementing Artificial Intelligence

These are the three main factors that companies fear from implementing AI in their business; gladly, ArkusNexus has a team of experts on Artificial intelligence

It has always been known that technology can become a great ally in meeting objectives in the short and medium-term. However, despite the benefits that have been mentioned countless times, entrepreneurs continue to fear entering the world of digital transformation and implementing tools such as Artificial Intelligence. There are three factors that prevent companies from implementing AI in their businesses: ignorance, resistance to change, and lack of data.

In the last decade, Artificial Intelligence has become one of the international benchmarks of digital evolution, given its importance for the analysis of thousands of variables and data, and based on this, make more effective strategic decisions for any type of business.

Despite this, in the USA, according to data from TechRepublic’s Report, only 19% of companies said they regularly use AI, which shows the distrust of companies to apply it to their business models.

There are three factors that prevent companies from implementing AI in their businesses: ignorance, resistance to change, and lack of data.

Ignorance:

Today,  many factories that are automated do not even know how incorporating Wi-Fi could benefit them to connect and exchange data between their robots, for example. And this is so out of ignorance. We need to start informing the people on this subject, our nearshore developers are experts on Artificial Intelligence and you can contact them here to start using  AI in your business.

Resistance to change:

In psychology, resistance to change is defined as "the tendency of a human being to find himself in a condition of equilibrium achieved after a series of internal adaptations. When this balance no longer works, the person tends to boycott the change because the balance achieved, although it no longer works, reassures them.

The concept of "resistance" implies, already inside, a clash between forces that oppose each other, causing a momentary state of blockage. Today, resistance is still considered the main obstacle to the success of psychoanalytic cure: it is the force that opposes analytical work aimed at the cure and overcoming the person's block, almost as if "staying" with their own evil was the solution desired and desired by the patient himself.

This attitude of resistance to change can take different forms throughout our lives, including in the workplace and this is why your work culture needs to start educating your employees on Artificial Intelligence.

Lack of data:

Data is the fuel for artificial intelligence. However, few organizations are aware that to develop a good artificial intelligence or machine learning project it is necessary that the data be of high quality. Incorporating a large volume of data into a platform, without it being correct, will only provide wrong conclusions.

In fact, data scientists agree that the most common problem they have to deal with is raw data, followed by other types of difficulties such as a lack of knowledge about data science or circumstances such as a lack of support from the management or the financial department, among others.

Conclusion:

These are the three main factors that companies fear from implementing Artificial Intelligence in their business, gladly, ArkusNexus has a team of experts on Artificial Intelligence, they do custom development of AI modules, advanced third party AI framework integrations, algorithm support, re-training and fine-tuning, and Exploratory Data Analysis.

Remember that you can contact them here.

Case Study from Arkusnexus
Erick Tijerina
Erick is passionate about video games and geek stuff, he loves board games, and oh, he is also our Social Media Specialist!
tijerer@arkusnexus.com
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