Three Requirements For Implementing AI
Implementing AI into a company is exciting but requires more than simply implementing the software. Integrating AI into your business requires laser-sharp focus on the company's goals and resources.
We all hear AI can be an incredible asset to any business, but before adopting it, you need to ask yourself three questions:
- How will you apply AI?
- Do you have access to enough relevant data?
- Do you have the time and resources to fund AI?
If you can answer these three questions, you may have what it takes to introduce AI to your business successfully.
Where Are You Applying AI?
If you plan to purchase or build an AI system into your business, you better be able to answer why. Implementing and using an AI should solve a problem, simplify or make a process more efficient, for example, if you own an e-commerce store and want to predict and recommend different products to select customers.
Likewise, you can use an AI to automate mundane tasks, like customer support services, which today is one of the most widely used AI applications. Just be sure you have a solution to solve with an AI before integrating.
Getting Access To Data
AI and machine learning models rely on relevant data to train their algorithms. Using data, an AI can perform complex applications like natural language processing (NLP) to generate text and images or predict customer behavior more accurately.
One way to collect data is by leveraging your online store. With some setup and tools, your business can track first-party information, allowing you to generate your customer data. This data can be used for analysis or fed through your AI models to make them more efficient.
Managing Capital And Resources
Buying, building, and maintaining an AI model is no easy feat. It requires loads of talent, money, and time to create a model that can make your business more efficient.
Attracting skilled engineers, data scientists, and machine learning experts is difficult enough while competing with large giants like Google, who are doing their best to recruit the world's top talent. So, you must view recruitment as an investment, and generously compensate those workers to make profits in the future.
These teams can get big, but as your teams expand, and your models begin to shine, you’ll see why companies go through all the growing pains to produce their machine learning models.
When Should I Consider Implementing AI?
If you can answer the questions above, starting with what an AI will do for your business, then you’re on the right track to answering this question for yourself. If you see the opportunity to automate away work, make systems and processes more efficient, and use creative tools to empower your workers, we say take it!
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