Any business works with a lot of data. Even if you are a solo entrepreneur, you certainly have a customer base. And if you are a CEO or manager in a large company, then most likely you have a special employee or an entire department for data analysis. Often, this process can be automated. For example, you can connect GA4 to BigQuery and quickly get a convenient visual representation of your data.
Information comes from all channels of interaction with customers — from contextual advertising to personal meetings. Its value depends on how well you handle it. Inactive databases cost about zero dollars. However, professional and detailed analysis can significantly increase income. A new trump card that can significantly change the rules of the game in the near future — Artificial Intelligence.
Why AI?
More data takes more time to process. With present-day volumes, analysis becomes unbearable for people as it requires tremendous attention and the ability to see patterns. Computers without software and operators are also unlikely to help.
There is only one way out — a smart machine that works thousands of times faster than people, makes almost no mistakes, and is ready to process gigabytes of data around the clock. It is no exaggeration to say that AI is currently revolutionizing data analytics. Now, with modern technology, you can reach a new level in customer relations and provide the most relevant products and services.
AI capabilities
AI is not a conscious brain, but it is able to perform a huge number of business tasks. We talked about enormous productivity, but there are still a large number of “artificial skills” that you can use:
- Ability to analyze structured and unstructured data in various formats. Today, AI can work not only with textual or tabular data but also with pictures and videos. This means that your company will be able to extract useful info from multiple channels and transform it into business-driven insights.
- The artificial brain will find patterns and correlations that may not be obvious. And this is another breakthrough point. A company may not know about something important for years and see the insight with the help of machine learning (ML) and AI. So, for example, AI can match search queries with social and demographic data of Internet users and create a unique selling proposition.
- Ability to analyze trends and predict future outcomes. ML methods are becoming more advanced and predictions are getting more accurate. This feature can be used, for example, by financial institutions: banks will be able to evaluate the solvency of creditors based on their past behavior.
Obviously, artificial intelligence will not make management decisions, but it will be able to quickly analyze the data of thousands of customers and provide you with outstanding visual reports (using special software) that will give you a clear picture of your business. And then, you can confidently go to new business victories.
Natural Language Processing
Software engineers develop methods that allow computers and humans to interact. With natural language processing (NLP), computers can read, interpret, and understand language. Typically, the processing is based on the intelligence level of the machine, deciphering human messages into information that is meaningful to it.
NLP is a text data tool that allows you to extract the main meanings of texts (customer reviews, social media posts, or whatever). The machine is able to generalize them and highlight key themes and moods. In fact, the capabilities are much wider. With the help of NLP and the right algorithms, you can draw almost any conclusion.
Where is AI-based text analysis applied?
AI is often used in all sorts of analytics and marketing. For example, you can track the average tone of reviews and opinions for a given issue. Social networks use such algorithms to find and block malicious content. AI is also used when collecting information about users to display personalized ads.
In addition, textual data analysis is indispensable in scientific research, for example, in medicine. If you combine large databases with medical records and medical prescriptions, then AI is likely to be able to identify unknown patterns and help treat chronic diseases.
The financial industry (from large companies to single traders) can be the beneficiary of AI-based data analysis. The economy works according to certain rules and huge computing power can give a fairly accurate forecast of events in the financial market.
Conclusions
The data itself is a raw material of little value. However, data is a reflection of reality. The more accurately we analyze it, the better we understand the world, business, and any other area. AI has revolutionized data analysis and insight extraction. The insights that a business owner gets through AI can bring millions of dollars in profit.
However, AI is not a CEO or a manager. It helps to turn huge tables or boring texts into beautiful graphics and theses, but it’s your responsibility to lead your company into the future. Therefore, it is critical that people quickly adapt to the new technologies of our digital age and learn how to cooperate with the digital brain.
There is no doubt that the quality of AI insights will improve over time. Computer performance will increase, and machine learning algorithms will become more accurate. At the same time, the amount of data and competition will also grow. Therefore, it is quite possible that in the coming years, we will see the rapid development of business and the growth of innovation. Today, it is important to understand the possibilities of AI and apply them now!
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