With the widespread AI in the market, many industries are getting their hands on the technology. The technology enhances multiple areas of the enterprises, including the increase in the ROI, social presence, and many more. To explain it better, let’s have a look at some of the latest market statistics. 

The global market size of artificial intelligence is growing at a rate of 17.30% between 2023 and 2030, resulting in a market volume of US$738.80 billion by 2030

Globally, the largest market size is in the United States ( US$87.18 billion in 2023)

So, successfully implementing AI in the company becomes the first choice for most companies. But it is also one of the challenging tasks that requires strategic planning, adequate resources, and a commitment to innovation.  To integrate AI into your organization, here are the simple steps that can be followed. 

Steps by Step Process of Integrating AI in Your Enterprise 

1. Define Your Objectives and Use Cases. 

Before starting, it is important to know the objective of your company and why you need to implement AI in your enterprise. According to the stats, more than 70% of companies fail their businesses due to a lack of AIM. So ensure that you have good research on all the aspects the business is lacking in and have to focus on with the help of the integration. 

2. Build a Skilled Team 

Integrating AI in the enterprise requires the best AI team that has the perfect blend of data and soft and technical skills. Almost every company faces the issue of finding the perfect team that can fulfill their needs. And to do this, you have to look into top companies and select the best from them. 

3. Data Collection & Preparation 

It is the process of gathering data relevant to your AI project’s goals and objectives. The steps include the collection of all types of data, whether it is external or internal. The challenge that comes here is the data should be relevant as the AI understands the data provided to it and, on the basis of that, can start adapting things. If the company provides the wrong data, the result can be affected. 

4. Choose the AI tools and technologies 

Select the AI tools and technologies you want to get integrated into your system. If you do not have any knowledge of this regard, then you can contact the experts from the top company to get advice or who can help you in the smooth integration process. 

5. Implement and Test AI solutions

You can start with the small steps. Implement the AI in the system for some processes and then test it for some time. This can let you know the progress and the positive effect of the implementation of the AI and also help in testing for a larger scale then without a big loss. 

6. Scale and Monitor 

Once all the processes are done, your enterprise validates your AI solutions and now starts using the solution across the organization. Also, collect feedback from all the users to improve their performance. Monitor the steps as the AI is not a one-time project; it will require continuous adaptation and updating as per the trend. 

How to Integrate AI into Your Organization
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How You Can Get Help for AI Integration from Us!

As an AI Consulting Company, we can provide you with multiple AI services to integrate, resulting in enhanced performance and ROI. Also, to get detailed information regarding the implementation, you can contact our AI experts. They are well aware of all the latest technology and tools to work with for smooth integration. Feel free to contact us and also share this infographic with others, but do not forget to give EmizenTech Pvt Ltd. proper credit by inserting the link. 

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Author

CTO at Emizentech and a member of the Forbes technology council, Amit Samsukha, is acknowledged by the Indian tech world as an innovator and community builder. He has a well-established vocation with 12+ years of progressive experience in the technology industry. He directs all product initiatives, worldwide sales and marketing, and business enablement. He has spearheaded the journey in the e-commerce landscape for various businesses in India and the U.S.

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