Small businesses that have not invested in AI may lack sufficient research on them
Artificial intelligence (AI) refers not only to robots ruling the world, but also about how data teaching applications can improve business processes.
According to a report released by Bluewolf (IBM company), only 21% of small businesses use artificial intelligence (AI) solutions. The Corporate AI Investment Gap Report surveyed 177 decision makers around the world to determine if their company has adopted AI and machine learning (ML) and how well they understand these technologies. Although 33% of small businesses are preparing to invest in AI in the coming year (which increases the total adoption rate of AI for small businesses to 54% next year), their overall adoption rate is still relatively low: 30 % of large companies have already invested in AI, and 44% of large companies are also preparing to invest in AI in the next year, which has led to a total adoption rate of 74% for large companies and 20% for small businesses. .
Vanessa Thompson, senior deputy manager of the Bluewolf Customer Experience Survey, said there is a knowledge gap between companies that already use AI tools and those that don't plan to use them, which she calls the “AI investment gap†and It is described in the written statement as “Understanding AI, and the differences between company executives who have not yet deployed AI to the business.â€
Bluewolf is a company that sells AI tools, so they deserve to think that the only reason people don't buy AI tools is not knowing about them. In order to verify the correctness of the statement issued by Thompson, I spoke with Brandon Purcell, senior analyst at Forrester Research's customer survey department, because their company also conducted a similar study on AI adoption rates, so I asked him. What other factors can also lead to knowledge gaps between companies that have adopted AI and those that have not yet adopted AI.
Although their company's overall data is similar to IBM's - 51% of companies have adopted or are expanding AI technology, another 20% said they plan to adopt AI in the next 12 months. However, for why small businesses have lower AI adoption rates, Purcell has made other compelling reasons.
Cost of applying AI
Purcell believes that the main reason for small businesses not adopting AI technology is the lack of sufficient funds, especially because “because it is skill-related, and small businesses lack the funds to hire data scientistsâ€. However, data scientists are the ones who can make in-depth analysis of enterprise software data to draw conclusions.
In addition, data scientists can determine whether AI has accurately read your data and taken appropriate action based on its unique smart technology. According to Glassdoor, the average annual income of data scientists is $113,436, which (in terms of overall affluence) is only slightly lower than the average annual income of a US CEO (PayScale reported an average income of 166,000). USD). So if you're the CEO of a small business with a meager profit but don't want to cut your salary, it's unlikely to hire a data scientist at a six-figure cost, and it's unlikely to cost it. A software system that can analyze data using AI.
However, the factors that hinder small businesses from investing in AI software are not just the lack of funds. Purcell said: "Data is another factor, because application AI only works well when you have a lot of data, but small businesses don't have that much data available."
Imagine: When you post a photo with a friend on Facebook, Facebook knows which friends to tag in the photo because it has collected information from the posts you have previously tagged. In addition, Netflix's recommended movies are also based on the movies you have watched before. It is based on ML and these recommendations are made by ML, and ML is the first "parent" of AI. Since ML and AI are very similar, they are often used interchangeably (and incorrectly used).
The following is the fundamental difference between these two terms: ML systems use artificial intelligence to improve performance by providing recommendations and methods that streamline processes, while AI systems enable software to automate tasks and make decisions without human supervision. Netflix's movie recommendation is to use ML, and the autonomous car uses AI, so you don't need to drive manually, just reach the company in the back seat. For a small business that is just beginning to generate data, the advantages of using AI and the advantages of Fortune 500 companies using AI software cannot be compared.
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