Using artificial intelligence in businesses will follow four major trends in the near future

From being almost science fiction, artificial intelligence has become a key component of corporate innovation and digital transformation. AI needs to be applied efficiently, and companies need to be clear about how AI can be used to their advantage. In a sense, it is the key to the future.

However, artificial intelligence is also alive and changes constantly, just like technology. It is the responsibility of those in charge of companies to take this into account.

What are the future prospects for AI? According to Gartner, innovation is happening at a “fast pace” in AI, and the pace needs to be maintained. In addition, it identifies four major trends that will define the agenda and how companies execute.

Artificial intelligence that is responsible

Initially, AI was seen as a way to do everything better and faster, but soon the critics emerged. As a result of relying on information, artificial intelligence has adopted the same biases as the information.

Gartner detects that responsible artificial intelligence will be one of the trends for the future, so it’s not surprising that it’s among their predictions. Workers who develop and train AI should be familiar with responsible AI by 2023. A responsible artificial intelligence is one that improves trust, transparency, and justice so that it is more equitable.

New data types

In the future, Gartner says, data will move from small to wide and new ways to deal with it will allow for more robust analysis. As a result, companies rely less on big data and can recognize the environment in a more complex and richer manner. The transition from big data to small and wide data will be completed by 75% of companies by 2025.

Svetlana Sicular, vice president of Gartner’s research division, explains that small data uses analytical techniques that require less data but still provide useful insights, while wide data enables analysis and synergies of multiple data sources.

Platforms for AI operationalization

According to the analysis firm, the operationalization of AI platforms is becoming increasingly important as artificial intelligence becomes an integral part of business transformation.

AI cannot be a concept: it must be in production and it must already solve corporate problems. Or, to put it another way, it is time to abandon pilot projects and focus on serious projects.

Resources are used efficiently

AI generates a complex environment and many demands. Consequently, companies must use their resources efficiently to continue innovating.