The Weak Spots

There are two types of value drain:

1. Unexpected Cost: development and compliance side.

2. Missed Potential: business and strategy readiness side.

We address them both.

The common weak spots we find time and again in AI/ML projects are:

• Business Strategy Readiness: is your leadership ready for a paradigm shift?

• Profitable Use Cases: are you solving the right problem?

• Adequate Business Requirements: are you fully aligned on how the business intends to solve the problem?

• Data Readiness: goes far beyond simply quality measures, is your data algorithm-appropriate?

• Adequate Data Requirements: do you understand what your data needs to be algorithm-ready and do you have full support requirements? Are you compliant?

• Non-essential components: over-designing is just as big a risk as over-simplifying.