How do you start an artificial intelligence program?

Is your organization ready for AI, in other words: artificial intelligence? Info Support has designed a program that allows you to start your own AI experiment in three steps.

During an AI experiment, your company data are analyzed and interpreted using smart software, enabling you to discover new patterns and make surprising connections. We then translate these insights into a software system and anchor them in your organization’s existing processes. This gives you better insight into your organization so that you can handle various organizational issues more quickly.

Achieve your company objectives with an artificial intelligence experiment

When you use artificial intelligence for the first time, it is important to first have your objectives clear: what do you want to achieve? Do you want to optimize your process, for instance, or chart out your customers’ needs? After that, you decide what data you need to achieve the goal. These could be existing or new data.

It may be interesting to use your current data as the starting point, in fact. By analyzing and combining existing data, you discover new patterns and connections. An AI experiment consists of three steps which we can go through individually. The duration of the experiment varies. It could take one day, or it could take two weeks.

The only source of knowledge is experience.

Albert Einstein

Get to work on an AI experiment!

Advance through 3 phases to reach the result

Start now!

Start your artificial intelligence experiment in 3 steps

 

1 Define the experiment

The precise details of an artificial intelligence experiment depend largely on the organization’s goal, which is why the first step focuses on defining these goals. With reference to the Info Support AI Experiment Canvas, we determine the preconditions for the experiment, such as: how will you know if the artificial intelligence experiment has been a success? Within what time frame will the goal be achieved?

We also determine what data are required to achieve the goal:

  • What existing data are relevant for the goal?
  • What additional data are needed?
  • How will the additional data be collected?

2 Perform and interpret the experiment

In step 2, we perform the experiment together, so that knowledge transfer can take place directly. The emphasis is on collecting, analyzing and combining existing and new data. We then interpret the result: what story do the data tell? What patterns and connections have been discovered?

This step is made up of the following parts:

  • data collection
  • data analysis
  • algorithm selection
  • interpretation of the results

In this step, it is often a good idea to distance yourself a bit from your own organization. During this step you can therefore make use of the Innovation lab of Info Support and Startup Village at the Amsterdam Science park. At this location, we work together to perform the experiment.

3 Anchor the experiment

A valid hypothesis can be converted into a production system. In this final step, we translate all the data flows found into a software system, so that it becomes part of the organization’s internal processes. This gives you more insight into your organization and helps you be prepared for organizational issues in the future as well.

If you would like to know more about starting an artificial intelligence experiment, contact us.

Practical steps for practical applications

Get to work on an AI experiment!

Advance through 3 phases to reach the result

Start now!

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