Businesses looking to build an AI solution can follow these 7 steps as a guide.

1. 1
7 Steps for
Building an
AI Solution

2. 1. Identify the Problem
● Are you addressing the business
challenges of your organization?
● Do you know what your business
goals are?

3. 2. Collect the Data
● Data is vital to build an AI
solution or product
● Make sure that you have enough
data - quantity and quality both
are important

4. 3. Design the AI Solution’s Architecture
● A roadmap needs to be designed to
properly show how the AI solution will
be created, trained, and deployed
● This will show what kind of algorithms
can be used to train the model

5. 4. Train the Model
● In order for the AI solution to function,
it’s important to train the model with
the algorithms created
● This is where the model building phase
begins

6. 5. Test the Model
● Testing the model to make sure the
algorithms are running as designed will
paint a clearer picture in understanding if
the AI solution will work

7. 6. Improve the Accuracy
● The model should be frequently
updated and tuned to provide
accurate results

8. 7. Deploy the Model
● Once the model has been tested,
trained, and tuned to show
accurate results, it’s ready to be
deployed
● Your business will be set up for
success with the AI solution

9. www.fusemachines.com
If you are wondering how Fusemachines can help build an AI solution,
contact: amneet@fusemachines.com