AI Technology Adoption: Navigating Your Organization through Change

We all know that each new tool and technology, no matter what functions it performs, should always go through the phase of adoption.
Whether the process goes evenly & smoothly or not, always depends on a company’s readiness for the radical changes.
The process of transformation itself may seem complicated and also absolutely unclear at first. However, it becomes substantially easier to adapt to change pursuing a number of preconditioned rules.

This white paper will:

• Uncover and describe the problems (situations) when data scientists are brought to the project too late or too early
• Explain why testing hypotheses, experimenting, and testing are essential for AI adoption and how you can achieve desired results through all the stages of experiments
• Uncover the processes inside a company that can intervene in the transformation flow