All you need to know about Artificial Intelligence – Beginners Guide Part 11

Integrating data

Hello there! Did you know: The world’s largest pizza chain company – Domino’s just announced its partnership with self-driving cars to deliver pizzas home? Nuro.ai, an American robotics company now delivers your favourite pizzas home. Revolutions in robotics and AI happen all the time, it is just a matter of time that we see a world full of robots living among us or living away from us. We guess we’ll have to wait and watch to see how it all turns out. 

In our last blog – AI beginners guide – part 10, we saw how to bring in experts and AI consultants to start a first AI project in the business. To get a full-fledged AI business, you need to make sure that everything is going straight once you implement AI.

Today, we’re going to discuss how to build a task force to integrate data in the process of implementing AI in your business. 

Importance of Integrating Data

Before implementing AI in your business, you need to clear your data to get it ready to avoid a “garbage in, garbage out” condition. One must know that the very important step toward obtaining high-quality data is to build a separate business unit [taskforce], combine different data sets together, and sort out the differences so that the data is valid and rich, with all the required dimensions for AI. These data sets will help AI analyse the business condition better and help in the smoother implementation of AI.

Know Your Data

It is important to get an understanding of where the data would come from. During data fetching and learning, it would help to identify the stages where the data would come from in the first place. Next, you will have to take a look at the refining of the data – making sure that the data you are planning to feed in your AI system is clean, real, and truly informative. This will help in assuring that your AI system is up and running accurately. The data will be about your business activities; therefore you need to get it right for AI to work seamlessly.

AI Gets the Most Out of Data

Algorithms are self-learning; the data alone can become intellectual property. All answers are in the data, you just need AI to get them out. Since the role of the data is more important it can create a competitive advantage. With the help of data, AI can learn a lot about your business and create algorithms based on that. These algorithms can be helpful to develop programs and improve various activities in your business. AI can learn anything within hours provided that the right data is fed. 

The goal of integrating data is to help AI learn about your business both logically and practically. AI will do better with data, the more data you provide, the more AI learns. 

If you are new to Artificial intelligence beginners guide blog series, below are the links of previous blogs where you can start learning more about AI.

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