By esantiago@hubspot.com (Erica Santiago)

As a marketer, you‘ve likely noticed data’s importance in decision-making and strategizing. You’re also probably tired of being bogged down with manually collecting and reporting data.

Data science is integral to the marketing world, but time is money, and the time you spend working with large datasets could go toward performing other tasks, such as content marketing.

Fortunately, artificial intelligence can blend with data science in many ways to make your job as a marketer easier without neglecting essential practices like data reporting.

We will explore the connection between data science and AI and tools you can use as a marketer regardless of your skill level in data analysis.

Difference Between Data Science and Artificial Intelligence

Data science is an umbrella term that describes analyzing, managing, and interpreting large amounts of data to inform decision-making.

Artificial intelligence is a field in which a computer or a robot completes tasks that typically require human intelligence and discernment.

Though data science and artificial intelligence are different fields, they often combine to streamline tasks, improve efficiency, solve problems, or increase productivity.

For instance, AI often depends on data scientists to study, clean, and feed data so the machine can learn and improve. However, data science is less dependent on AI since the science can analyze and explain datasets on its own.

However, AI can extract information from data in a way that isn’t possible with typical data science techniques. This is especially the case with rich data types like video or large volumes of data.

Examples of AI in Data Science

Below are some examples of AI in the world of data science.

AI in Survey Drafting

It’s common to use surveys to gather data and information about your audience and consumers, and AI is often leveraged to automate many aspects of the survey process.

AI surveys eliminate the need for human intervention in tasks such as data entry and survey report analysis.

Leveraging AI with survey drafting and execution allows organizations to automatically collect responses from various channels like online forms and chatbots.

From there, AI can categorize the information based on predetermined criteria, analyze patterns and trends, and generate a report based on its findings quicker than if done manually.

AI in Data Collection

One way AI typically works in data collection is web scraping, which involves using automated bots or scripts to extract data from websites. AI allows these bots to quickly and efficiently pinpoint patterns and insights in the data.

In turn, organizations can make data-driven decisions about their products, services, or marketing strategies.

AI data collection also helps deliver a more personalized user experience on a website. AI can collect user behavior and preferences data to recommend products or content tailored to each visitor.

Personalized experiences improve the likelihood of conversion and engagement. This process is prevalent and helpful to …read more

Source:: HubSpot Blog

Author: Aaron