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The Main Challenges of AI Implementation in Companies



Today, artificial intelligence is becoming a significant business trend because it's profitable. AI is growing exponentially and allows companies to solve problems that they couldn't solve before. For example, autopilots of quadcopters can detect and rescue people on beaches or detect diseases with instantaneous accuracy higher than that of doctors.

How Artificial Intelligence Benefits Companies

Savings From Artificial Intelligence

AI can replace people who need to be paid a salary. For example, in the quality control department of a call center, instead of 50 managers, you can put one neural network, which will immediately give huge savings.

Artificial Intelligence Solving Tasks That Are Beyond Human Capabilities 

For example, in an oil drilling project, it's necessary to determine whether there is oil there or not based on the drilling sensor data. This can be done either by an experienced and highly specialized expert, who is hard to find on the market and regularly makes mistakes, or by a neural network.

Following Market Trends and Staying Ahead of Competitors Using Neural Networks

For many companies, it's important to keep up with the competition. People realize that competitors will also implement AI and are likely to be ahead of the curve. The situation is the same as it was with the Internet 30 years ago.

What Problems Companies Face When Implementing AI

Despite the obvious benefits, AI adoption has challenges:

  • Not understanding where to implement AI;
  • Not understanding how to prove the benefits of AI;
  • Lack of datasets needed for implementation;
  • Hiring AI developers;
  • Bureaucracy.
    Let's break down some points in more detail.

Misunderstanding Where to Implement AI

Everyone has heard of AI and wants to implement it in their business. But what exactly can be done in a company with its help?

We hear about bright cases, like Stable Diffusion and Midjourney, which create pictures; ChatGPT, which can write commercial proposals, songs and poems, job vacancies, and so on. Everyone realizes that this is the future, and there's a 95% chance that competitors are reading this article right now and thinking about implementing AI.

Some experts estimate that 80-90% of professions will disappear in the next 30 years. The first to go will be designers, sales managers, doctors, drivers, and so on. These professions will start to disappear. Even software engineers are under pressure from ChatGPT because it already knows how to do basic programming.

Misunderstanding the Benefits of Implementing a Neural Network

Often, companies try to justify any innovation at the level of money — how much profit it will bring. But some experts consider that this is a false practice because not everything is measured by profit. It's difficult to calculate how much profit cleaning the office will bring, but everyone realizes that it's necessary because both clients and employees are more pleasant to do business in cleanliness. And everyone understands that clean floors are a definite benefit, although it's impossible to calculate in dollars. We need to avoid this practice in artificial intelligence. The main benefits of using AI look like this:

  • Removing headaches from executives and experts with AI;
  • Neural network solutions to problems that aren't solved by other means;
  • Improving the customer experience and creating new functionality with neural networks.

Why Implement AI Right Now

What can experts say in general? There are 100% barriers to AI adoption. However, everyone realizes that the future is for artificial intelligence, that you have to implement it in any business, and sooner or later any company will come to it. It's better to get there sooner than your competitors; otherwise, they will overtake you.

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