Analytics: how AI changes the way you see data

Analytics: How AI Changes the Way You See Data

Artificial intelligence (AI) is rapidly upscaling the field of data analytics. By identifying patterns, and making predictions, AI is helping businesses to make better decisions, improve efficiency, and gain a competitive edge.

One of the most significant ways that AI is changing data analytics is by allowing businesses to analyse larger and more complex datasets. In the past, data analysts were overwhelmed by the amount of data they could manually process. However, AI-powered tools can now analyse terabytes or even petabytes of data in a matter of minutes. This allows businesses to gain insights that would have been impossible to obtain with traditional methods.

In addition to efficient analytics, AI can also be used to identify patterns in data that would be difficult or impossible for humans to see. For example, AI can be used to identify fraudulent transactions, predict customer churn, and optimize marketing campaigns. This allows businesses to make better decisions and improve their bottom line.

Overall, AI is having a profound impact on the field of data analytics. By automating tasks, identifying patterns, and making predictions, AI is helping businesses to make better decisions, improve efficiency, and gain a competitive edge.

Here are some specific examples of how AI is being used in data analytics:

• Fraud detection:?AI can be used to identify fraudulent transactions by analyzing patterns in customer behavior. This can help businesses to protect themselves from financial losses.
• Customer churn:?AI can be used to predict which customers are likely to churn, or cancel their subscriptions. This allows businesses to take steps to retain these customers, such as offering them discounts or upgrades.
• Marketing campaigns:?AI can be used to optimize marketing campaigns by targeting the right customers with the right messages. This can help businesses to increase their conversion rates and improve their ROI.
• Risk management:?AI can be used to identify potential risks, such as supply chain disruptions or customer complaints. This allows businesses to take steps to mitigate these risks and protect their bottom line.

These are just a few examples of how AI is being used in data analytics. As AI technology continues to develop, we can expect to see even more innovative and groundbreaking applications in the years to come.

HERE are ai based applications that help with analytics

1. clarity by microsoft
2. Zoho
3. tensorflow
4. rapid miner