Making AI Adoption Easier: Key Factors for Successful Implementation
The world is at a turning point in how it uses artificial intelligence (AI) and how it affects its economy, and it’s no surprise because they’re making life simpler.
According to IBM, the global AI adoption rate has steadily increased to 35% as organizations around the world become more efficient in their use of time and resources and can see an improvement in their automation processes thanks to artificial intelligence tools.
Some of these findings are extremely important to take into consideration when building an AI application or tool. We’ve gathered some key factors for you to explore:
Accessibility is key
Companies that use AI in their work say that the fact that it was easy to use across the company was a key factor in its popularity. Because of the high demand for AI tools in the workplace, they have become more accessible and user-friendly, resulting in a healthy offer curve.
Strategy before adoption
The necessity of putting in place a strategy that can successfully apply AI to business goals contributes to a significant portion of why AI adoption up to this point has been slow. At the same time, there’s not much precedent on AI adoption strategies for small businesses, so they will take a longer time to adopt and adjust.
Saving money
In most markets throughout the world, the adoption of AI is driven by the need to save costs and automate crucial activities. In most markets around the world, the need to save money and automate important tasks is what drives the use of AI. AI is being used in more and more ways by businesses as the technology gets cheaper and the return on investment (ROI) becomes clearer. The increasing number of tools available creates market competition that enables companies to make profitable selections.
Across industries
IT pros in the automotive industry were more likely than those in other industries to say that AI process automation has a number of benefits. Some sectors with high adoptability rate are customer care experiences, 5G services, digital workers, software development and networking or network slicing, to name a few.
Current hype
A great advantage to all AI builders out there is that there is a current trend for these tools. People are not just using it for work operations, but for personal reasons as well. (help me elaborate a little please 😅🙏)
Conclusions:
- Making it easy for users to obtain and use an AI tool is the first thing to focus on for anyone building an AI tool.
- A need for AI strategy to reach business goals can be a blocker when it comes to adoption in small to medium companies.
- Companies are more likely to adopt your product if it will save them money than if the quality of their processes will increase.
- There are a number of sectors that are more likely to work with AI tools, according to statistics. Use these references to build your solutions.
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