Michael Curry
Do you know the importance of artificial intelligence from structurely conversational ai for your company? Or what is the ideal amount of AI to be applied to the company’s processes and actions? If you want to know the answers to these questions, keep reading our content and learn the recommendations for AI adoption and optimize your business results.
We, humans, tend to give human characteristics to objects around us. So much so that, in the 20th century, many technological inventions carried the names of the people who invented them, such as Ford cars and Boeing planes.
Another case that we always see is pets; owners love to attribute human characteristics to their dogs’ behavior, and who doesn’t love seeing the talking animals from Disney movies? Even the gods of Greek, Chinese and Egyptian mythology resemble humans.
This trend is actual for Artificial Intelligence, which creates an electronic mind that knows no fatigue or stress. But whatever enormous promises technology gives us, we often unknowingly expect even more from AI than it can do.
What Are The Challenges Of Artificial Intelligence?
Many companies are aware of the importance of artificial intelligence from structurely conversational ai and have experienced adopting this technology but have found it challenging to prove the value of these solutions. In his report,” Three Barriers to AI Adoption,” Gartner points out some factors as being the most common barriers when applying AI, such as:
- Lack of skills;
- Fear of the unknown;
- Data quality.
And of course, there are other reasons too — one of which might be high expectations about the technology’s ability to be, in HR terms, “proactive” and “work well as a team.”
What Types Of Artificial Intelligence Should Companies Prioritize?
Although AI has a broad scope of applications, PLN and computer vision are well understood in large part due to their implementation in intelligent city scenarios around the world. Many companies invest in AI to explore its possibilities.
And despite the countless types of artificial intelligence, some should be among the first application options on the agenda of a company’s IT department, such as:
- Recognition by smart cameras;
- Document scanning;
- Automatic video;
- image archiving
The industry has accumulated a lot of experience in these fields, so companies need only build on projects, best practices, and past industry experience.
While the technology’s potential is powerful, decision-makers must take full responsibility for AI adoption. The best approach is to reason how AI can bring about positive change and then develop a step-by-step plan.
