Introducing data tools in the AI ​​era  

I am starting a new series to introduce overseas data Introducing data  tools in the AI ​​era. This is the first article.

In my mind, the data tools provided by AI should be very different from all the data tools I have used in the past.

It should be able to Introducing data

Collect data, organize data , and analyze data whatsapp lead generation: how to track conversions and user behavior by itself , which means it can completely replace the work of ordinary data analysts.

These three bold parts are what I consider to be the three essential features of AI-based data tools.

Are there any tools that have all three of these features? Under use of solar energy and wind energy certain conditions, I think such tools exist. Of course, I don’t think AI, which is similar to humans and can collect data everywhere in the digital world and even view data in the physical world, has yet to appear.

Today, we are going to

Introduce an AI tool for automatic data analysis, Polymer, which has canada cell numbers these three features under certain conditions. To be honest, there are many tools of this kind on the market, but why should we introduce Polymer first?

Because this tool is tailor-made for our professional field, the digital marketing industry. The data it deals with is first of all digital marketing, especially data related to delivery and traffic operations. This is why I introduce it first.

Let’s take a look at the official introduction of this tool: Polymer is an AI-driven data visualization tool that aims to simplify the data analysis and dashboard creation process, making it easier for users without professional technical knowledge to use. It aims to democratize data access and insights, allowing business professionals to directly participate in data analysis and easily generate executable insights.

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