How Do You Know A Company Is Ready For AI?

How do you Know a Company is Ready for AI?

What are the Steps to Become One?

As AI/Generative AI is the talk of businesses, universities, schools and daily life, many companies are asking:

A. Am I ready for AI and what do I need to have in place for success?

To answer this question please consider the following:

0. THE MOST IMPORTANT: Every company needs to FIRST identify Important Business Problems that AI can enable Solutions easier, cheaper, more efficiently or increase of revenues faster/better than manual or less automated processes. You do not apply AI for the sake of AI.

1. Strategic Data Acquisition.
Do you have the competence to access the right data? Without the right data do not start.

2. Data Infrastructure.
Do you have the right data infrastructure?
Various types of data need to be integrated and linked in 1 data warehouse instead various databases not easily accessible to the engineers....

3. Massive Automation.
Do you have the right competences for spotting and implementing automation opportunities? This is the core of machine learning.

4. Do you have the right organisational structure & roles?
Business Analysts, data engineers, machine learning engineers, data scientists, research engineers, chief data officer, .... the right setup and division of labor is vital. Having the right team members in the right job, the right competencies and leadership is something that needs major attention. No need to have the whole team from the start.

After you have considered all above and you have the right business problems:

B. What are the steps to be followed to become an AI company?

For established companies that have the ambition to transition to become an AI company this is a major transformation project, a cultural change with the following key attention areas:

1. Find the core AI team members with the right competencies

2. Experiment with a few pilot projects in your business focus to align technology with business value. This alignment is a must.
AI is about creating business value!

3. Create broad awareness and provide training across the organisation as the value of data needs to be understood and embraced.

4. Create an AI strategy, deploy and start executing. There will be iterations to reach optimal results.

5. Ensure the AI team is represented directly in the Management Team.

6. Communicate your strategy highlights externally and internally.

Any comments?

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