Artificial intelligence (AI) is definitely changing our daily life. And from the look of things AI is here to stay. As a business looking to maintain its competitive edge, AI is the way to go. But before adopting it, there are a few considerations you need to make. This article discusses them to make your AI implementation as seamless as possible.
AI can be described as the simulation of human intelligence into machines to carry out tasks that we normally rely on human beings to do. It can further be subdivided into three:
This is the most common type of AI and we experience it almost daily in our lives. It focuses on one task and has limitations it cannot perform beyond.
This type of AI understands and can learn intellectual tasks that human beings perform.
This type surpasses human intelligence and can perform tasks better than human beings. It is still a concept and has not been achieved.
Below are a few considerations to put in mind when implementing AI in your business:
The two terms are often used interchangeably. But they have a difference as far as the application is concerned. Once you understand the difference between these two then you can decide on the one that best suits your business.
You need to know what you want to achieve by adopting AI. Define the problems you intend to solve using AI. Answering the following questions will be a great start. How can AI help your business to move toward success? How will you measure success? What outcomes do you expect to see? Answering these questions will help you to better define your business needs and help you decide on the best solution for your company.
Don’t lose sight of your main value drivers. As much as better business results are always the target, prioritize your drivers of value too. The value drivers can be improved employee productivity or increased value for your customers.
Ensure you also don’t implement solutions based on popularity. Instead, analyze how a solution will fit into your business processes and whether it will boost your operations in the long term.
There is a difference between what you want to achieve and what you as an organization can achieve within a certain time frame. Before launching AI, you as a business should know what you are capable of and what you are not capable of from a business and tech perspective.
Evaluating your internal capabilities will let you know what things you may need to acquire first or what processes may need to evolve first before adopting AI. This will ensure the adoption of AI is seamless when you are finally ready.
Once you feel that your business is now ready to embrace AI from the organizational and tech point of view, then it is time to build. The secret is to start small, with all project goals in mind. Ensure you use experts or AI consultants. Create a team with both internal and external people. The internal people know about the business and the external people will bring knowledge about AI making the implementation of the project easier.
The pilot project can have timelines of between 2-3 months after which you can now decide on what the long-term project will be and the value your business stands to gain.
Before implementing AI you need to clean your data. Corporate data is usually stored in different data silos and may be in the hands of different business groups. To better access all this data it is advisable to create a cross-business task force to integrate all the data and sort out all inconsistencies to ensure you have rich and accurate data before rolling out AI.
For a start begin with applying AI to a small portion of your data. You can then gradually expand as you continue learning the value it is creating for your business and also from the feedback collected from customers. In the beginning, you can pick a specific problem you want AI to solve and then focus on that instead of throwing all data at it.
As you grow from a small sample of data to full AI implementation, you will need to put your storage requirements into consideration. This is because to fully enjoy the benefits of AI you will require huge volumes of data. That is why you will be required to consider the inclusion of optimized and fast storage from the beginning. Take time to review your options as this will have a huge and positive impact when your system is finally online.
With the automation and additional insight that AI offers, workers should harness AI as a tool of their daily routine rather than something that replaces their routine. The company should be transparent on how AI will work to solve issues in workflow. This helps employees to visualize how AI augments their role and not replace them.
Incorporating AI into an organization is some serious work that requires tact. It will require deep knowledge of AI, time, money, and dedication for it to be successful. Before implementing it, also focus on the business needs you intend to solve and not just because it is a popular option. This together with the other few considerations discussed will ensure the process is successful and your business gets to benefit from this technology.
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