Where AI can add value to your business and how to estimate its cost
How to identify AI opportunities in your business, understand their potential and estimate the effort and cost of turning them into improvements.
ReadThought, technology and AI applied to real projects
Applied AI for SMEs and professionals: five decisions to move forward
Artificial intelligence expands what we can do. To make use of that capability, we need to connect it to something we want to achieve and find a way to put it into practice.
In a business, the process starts by understanding the work and recognising what deserves an improvement. Other questions follow: where to begin, which conditions are needed, how to verify the result and what it takes to sustain it.
This series moves from one question to the next. It is intended for small and medium-sized businesses and professionals across different fields, taking each reader’s activity and purposes as its starting point.
Each decision prepares the next
We begin by discovering opportunities and relating their potential to effort and cost. That understanding lets us compare ideas and choose a priority.
Once an opportunity is selected, we can examine the information, people and conditions it needs. Preparation leads to a test with a clear question and a way to judge the results.
If the evidence supports moving forward, it is time to develop and integrate the solution. Its operation, people’s participation and the ability to sustain value in everyday work all matter at this stage.
Each article develops one of these decisions and explains why it leads to the next. You can follow the whole path or start at the stage your project has reached.
How I work with businesses and professionals
I am Walter Jerusalinsky. I work with SMEs and professionals on AI strategy and implementation, from understanding an opportunity to developing and integrating validated ideas.
My AWS Certified AI Business Strategist certification and Early Adopter badge can be viewed on Credly. You can also browse all my credentials.
The five decisions
Which AI project should you start with? Impact, complexity and risk
How to choose a first AI project by relating impact, complexity, risk and learning to the goals and resources of your business.
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Is your business ready for AI? What to review before you start
How to prepare your business for AI by connecting information, processes, people and controls to the improvement you want to achieve.
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How to design an AI proof of concept and decide whether to move forward
How to design an AI proof of concept that produces useful learning, supports fair comparisons and informs the decision to move forward.
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From experiment to everyday work: integrating an AI solution
How to develop and integrate an AI improvement so that people can use it, maintain it and sustain its value in everyday work.
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